136 20 9798 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Innovative Method for Brain Stroke Prediction based on Parallel RELM Model Subject The topic of the resource Brain Stroke Prediction; Extreme learning machine (ELM); Recursive Feature Elimination (RFE) Description An account of the resource Strokes occur when blood supply to the brain is suddenly cut off or severely impaired. Stroke victims may experience cell death as a result of oxygen and food shortages. The effectiveness of various predictive data mining algorithms in illness prediction has been the subject of numerous studies. The three stages that make up this suggested method are feature selection, model training, and preprocessing. Missing value management, numeric value conversion, imbalanced dataset handling, and data scaling are all components of data preparation. The chi-square and RFE methods are utilized in feature selection. The former assesses feature correlation, while the latter recursively seeks for ever-smaller feature sets to choose features. The whole time the model was being trained, a Parallel RELM was used. This new method outperforms both ELM and RELM, achieving an average accuracy of 95.84%. 2024 IEEE. Creator An entity primarily responsible for making the resource Kavitha K.; Devi V.J.; Alam M.S.; Sindhu V.; Gandhewar N.; Kalra G. Source A related resource from which the described resource is derived 4th International Conference on Sustainable Expert Systems, ICSES 2024 - Proceedings, pp. 1637-1643. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSES63445.2024.10763097" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSES63445.2024.10763097</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214838562&doi=10.1109%2FICSES63445.2024.10763097&partnerID=40&md5=eb53335ae8ea8b6b0b8388c05ba79d27" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214838562&doi=10.1109%2fICSES63445.2024.10763097&partnerID=40&md5=eb53335ae8ea8b6b0b8388c05ba79d27</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-833154036-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kavitha K., Gmr Institute of Technology, Department of CSE-AI&ML, Andhra Pradesh, Razam, India; Devi V.J., Aditya Institute of Technology and Management, Department of Information Technology, Andhra Pradesh, Tekkali, India; Alam M.S., College of Engineering and Computer Science, Jazan University, Department of Computer Science, Jizan, Saudi Arabia; Sindhu V., Christ University, Department of Computer Science, Karnataka, Bangalore, India; Gandhewar N., Shri Ramdeobaba College of Engineering and Management, Department of Aiml, Nagpur, India; Kalra G., Maharishi Markandeshwar (Deemed to be University), Department of Mechanical Engineering, Mullana, Ambala, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Automated Single Responsibility Principle Enforcement: A Step Toward Reusable and Maintainable Code Subject The topic of the resource Code smells; Cyclometric complexity; Halstead volume; Interface analysis; Single responsibility principle Description An account of the resource In this study, we delve into the sphere of automated code scrutiny, specifically concentrating on compliance with the single responsibility principle (SRP), a key principle in software architecture. The SRP proposes that a class should have a singular reason for modification, thereby enhancing code cohesion and facilitating its maintenance and reusability. The study presents a pioneering system that utilizes a holistic strategy to ascertain SRP compliance within code. This system rigorously inspects code interfaces, the interaction points among various software components. Through this process, we extract critical insights into the codes maintainability and reusability. An optimally designed interface can significantly improve code management and foster its reuse, leading to superior software design efficiency. Beyond interface inspection, our system also explores complexity metrics such as cyclomatic complexity and hassel volume. Cyclomatic complexity offers a numerical indicator of the count of linearly independent paths traversing a programs source code, serving as a measure of code complexity. Hassel volume is an additional metric that can quantify code complexity. Moreover, our system employs code smell detection methodologies to identify instances of high interdependence between classes, often a sign of SRP breaches. High interdependence, or tight coupling, complicates code modification and maintenance. The system integrates the conclusions from these varied analyses to determine SRP compliance. The outcomes of this investigation highlight a hopeful trajectory toward automated SRP detection. This could provide developers with tools that proactively foster the development of well-organized and maintainable code, thereby enhancing software design quality. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Jacob B.A.; Manohar M.; Roy G. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-1112 LNNS, pp. 343-353. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-6684-0_28" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-6684-0_28</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215655517&doi=10.1007%2F978-981-97-6684-0_28&partnerID=40&md5=7ac1173f69be0421e06c009b900c3c26" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215655517&doi=10.1007%2f978-981-97-6684-0_28&partnerID=40&md5=7ac1173f69be0421e06c009b900c3c26</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981976683-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jacob B.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560074, India; Manohar M., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560074, India; Roy G., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560074, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Towards an Improved Model for Stability Score Prediction: Harnessing Machine Learning in National Stability Forecasting Subject The topic of the resource and security; Economy politics; Fragile State of Index; Machine Learning Description An account of the resource In our increasingly interconnected world, national stability holds immense significance, impacting global economics, politics, and security. This study leverages machine learning to forecast stability scores, essential for understanding the intricate dynamics of country stability. By evaluating various regression models, our research aims to identify the most effective methods for predicting these scores, thus deepening our insight into the determinants of national stability. The field of machine learning has seen remarkable progress, with regression models ranging from conventional Linear Regression (LR) to more complex algorithms like Support Vector Regression (SVR), Random Forest (RF), and Gradient Boosting (GB). Each model has distinct strengths and weaknesses, necessitating a comparative analysis to determine the most suitable model for specific predictive tasks. Our methodology involves a comparative examination of models such as LR, Polynomial Regression (PR), Lasso, Ridge, Elastic Net (ENR), Decision Tree (DT), RF, GB, K-Nearest Neighbors (KNN), and SVR. Performance metrics like Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Mean Squared Error (MSE), and R-squared (R2) assess each model's predictive accuracy using a diverse dataset of country stability indicators. This study's comprehensive model comparison adds novelty to predictive analytics literature. Our findings reveal significant variations in the performance of different regression models, with certain models exhibiting exceptional predictive accuracy, as indicated by high R2 values and low error metrics. Notably, models such as LR, SVR, and Elastic Net demonstrate outstanding performance, suggesting their suitability for stability score prediction. 2024 IEEE. Creator An entity primarily responsible for making the resource Maheshwari A.; Malhotra A.; Singh Hada B.; Ranka M.; Amzad Basha M.S. Source A related resource from which the described resource is derived Proceedings of NKCon 2024 - 3rd Edition of IEEE NKSS's Flagship International Conference: Digital Transformation: Unleashing the Power of Information Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/NKCon62728.2024.10775198" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/NKCon62728.2024.10775198</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215302501&doi=10.1109%2FNKCon62728.2024.10775198&partnerID=40&md5=5e4e15ab92a68efcf33ab4fdf2362ea5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215302501&doi=10.1109%2fNKCon62728.2024.10775198&partnerID=40&md5=5e4e15ab92a68efcf33ab4fdf2362ea5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036456-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Maheshwari A., Christ (Deemed to Be University), School of Commerce, Finance and Accountancy, Ghaziabad, India; Malhotra A., Christ (Deemed to Be University), School of Commerce, Finance and Accountancy, Ghaziabad, India; Singh Hada B., Christ (Deemed to Be University), School of Commerce, Finance and Accountancy, Delhi-NCR, India; Ranka M., Dayananda Sagar College of Arts, Science and Commerce, Bengaluru, India; Amzad Basha M.S., Gitam (Deemed to Be University), Gitam School of Business, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Unveiling Powerful Machine Learning Strategies for Detecting Malware in Modern Digital Environment Subject The topic of the resource Binomial logistic regression; KNN; Malware; Random Forest; XGB classifier Description An account of the resource Machine learning has emerged as formidable instrument in realm of malware detection exhibiting capacity to dynamically adapt to ever-shifting topography of digital hazards. This study presents an exhaustive comparative analysis of four intricate machine learning algorithms namely XGBoost Classifier, K-Nearest Neighbors (KNN) Classifier, Binomial Logistic Regression and Random Forest with primary objective of assessing their effectiveness in domain of malware detection. Conventional signature-based detection methodologies have struggled to synchronize with rapid mutations exhibited by malware variants. In sharp contrast machine learning algorithms proffer data-centric approach adept at unraveling intricate data patterns thereby enabling identification of both well-known and hitherto uncharted threats. To meticulously appraise efficacy of these machine learning models we employ stringent set of evaluation metrics. Precision, recall, F1 Score, testing accuracy and training accuracy are meticulously scrutinized to ascertain distinctive strengths and frailties of these algorithms. By providing comparative analysis of machine learning algorithms within milieu of malware detection this research engenders significant contribution to ongoing endeavor of fortifying cybersecurity. Resultant analysis elucidates that each algorithm possesses its unique competencies. XGBoost Classifier showcases remarkable precision (Benign files: 99%, Malicious files: 99%), recall (Benign files: 97%, Malicious files: 99%) and F1 Score (Benign files: 98%, Malicious files: 99%) implying its aptitude for precise malware identification. KNN Classifier excels in discerning benign software exhibiting precision (Benign files: 90%) and recall (Benign files: 91%) to mitigate likelihood of erroneous positives. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Ravindra Babu S.; Leisha R.; Medows K.J.; Sreekumar K.; Girish G.P. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-874 LNNS, pp. 277-286. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-50887-5_28" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-50887-5_28</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215805763&doi=10.1007%2F978-3-031-50887-5_28&partnerID=40&md5=cde0953e31d184c3af78587c0734b9ef" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215805763&doi=10.1007%2f978-3-031-50887-5_28&partnerID=40&md5=cde0953e31d184c3af78587c0734b9ef</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-303150886-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ravindra Babu S., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India; Leisha R., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Medows K.J., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Sreekumar K., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Girish G.P., Department of Finance, ICFAI Business School, IFHE University (a Deemed to-be-University under Sec 3 of UGC Act 1956), Hyderabad, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Application of XAI in Integrating Democratic and Servant Leadership to Enhance the Performance of Manufacturing Industries in Ethiopia Subject The topic of the resource Democratic leadership; LIME; Manufacturing industries; Organizational learning; Performance; Regression; SEM; Servant leadership; SHAP; XAI Description An account of the resource This study tests the conceptual model theorizing democratic leadership, servant leadership, learning organization, and performance of manufacturing industries using Structural Equation Modeling (SEM). The impact of democratic and servant leadership on learning organizations and the performance of manufacturing industries in Ethiopia is analyzed, and the role of learning organizations as a mediating variable is examined. Confirmatory Factor Analysis was performed, which includes a well-established Chi-square test, the Chi-square ratio to degrees of freedom, the goodness-of-fit index, the TuckerLewis index, the comparative fit index, the adjusted goodness-of-fit, and the root mean square error of approximation. Further, the performance of manufacturing industries has been assessed using XAI which helps in having a higher clarity on understanding the complexities in production. Based on linear regression, two methods SHAP and LIME have been used for precise predictions and forecast for future production plans in the manufacturing industry. This research contributes to the existing body of knowledge by dissecting the nuanced relationships between the two leadership styles and learning organization and further, their implications for an organizations performance. The findings of the study would provide insights for policymakers and practitioners to improve the performance of manufacturing industries. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Badada B.; Delina G.; Krishnaraj R.; Thiruthuvanathan M.M. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-1116 LNNS, pp. 123-138. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-6995-7_10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-6995-7_10</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215694369&doi=10.1007%2F978-981-97-6995-7_10&partnerID=40&md5=f6ca225acc3691a12289000e3e73096a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215694369&doi=10.1007%2f978-981-97-6995-7_10&partnerID=40&md5=f6ca225acc3691a12289000e3e73096a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981976994-0 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Badada B., Kalasalingam Academy of Research and Education (Deemed to be University), Tamil Nadu, Krishnankoil, Srivilliputhur, 626126, India; Delina G., Kalasalingam Academy of Research and Education (Deemed to be University), Tamil Nadu, Krishnankoil, Srivilliputhur, 626126, India; Krishnaraj R., Dambi Dolo University, Dembi Dollo, 000260, Ethiopia; Thiruthuvanathan M.M., Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Advancing Image Security Through Deep Learning and Cryptography in Healthcare and Industry Subject The topic of the resource Cryptography; Deep Learning; Image Encryption; Medical Image Security Description An account of the resource Securing electronic health records (EHRs) in the Internet of Medical Things (IoMT) ecosystem is a key concern in healthcare due to the sector's differed environment. As the evolution of technology continues, ensuring the confidentiality, integrity, and accessibility of EHRs becomes more and more challenging. To enhance the confidentiality of healthcare picture data, this study explores the combined use of deep learning and cryptography methods. Through the utilization of weight analysis for improving encryption strength and the combination of chaotic systems to generate undetectable encryption patterns, it explores how deep neural networks can be modified for use in encryption. It also provides a survey of the present scenario of deep learning-based image detection of anomalies methods in working environments, such as network typologies, supervision levels, and assessment norms. Techniques in cryptography provide an effective means to protect confidential medical picture data while it's being transmitted and stored. Deep learning, on the other hand, has the ability to entirely change cryptography by providing robust encryption, resolution augmentation, and detection capabilities for medical image security. The paper outlines future research approaches to overcome these problems and tackles the opportunities and obstacles in medical image cryptography and industrial picture anomaly detection. Through this work, picture privacy in the healthcare and industrial sectors is advanced, opening the door to enhanced privacy, integrity, and availability of vital image data by overcoming the gap between deep learning and cryptography. 2024 IEEE. Creator An entity primarily responsible for making the resource Kumar P.; Laroia A.; Kumar M.; Laroia A.; Upreti K.; Parashar J. Source A related resource from which the described resource is derived 2024 International Conference on Emerging Trends in Networks and Computer Communications, ETNCC 2024 - Proceedings, pp. 436-441. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ETNCC63262.2024.10767450" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ETNCC63262.2024.10767450</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214688553&doi=10.1109%2FETNCC63262.2024.10767450&partnerID=40&md5=a2c9020001e93dc12593dcd4bc081352" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214688553&doi=10.1109%2fETNCC63262.2024.10767450&partnerID=40&md5=a2c9020001e93dc12593dcd4bc081352</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835035326-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumar P., Maharshi Dayanand University Computer Science Engineering, Haryana, India; Laroia A., University of Texas at Dallas Ms in Business Analytics, TX, United States; Kumar M., Amity University Computer Science Engineering, Uttar Pradesh, India; Laroia A., Birla Institute of Technology, Civil Engineering, Pilani, India; Upreti K., Christ University, Dept. of Computer Science, Delhi NCR Campus, India; Parashar J., Dept. of Computer Science and Engineering, Delhi, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Alpha-Bit: An Android App for Enhancing Pattern Recognition using CNN and Sequential Deep Learning Subject The topic of the resource artificial intelligence in education; convolutional neural networks (CNNs); early childhood education; literacy; numeracy; Optical character recognition (OCR); SDG 4; sequential networks Description An account of the resource This research paper introduces Alpha-Bit, an Android application pioneering Optical Character Recognition (OCR) through cutting-edge deep learning models, including Convolutional Neural Networks (CNNs) and Sequential networks. With a core focus on enhancing educational accessibility and quality, Alpha-Bit specifically targets foundational elements of the English language - alphabets and numbers. Beyond conventional OCR applications, Alpha-Bit distinguishes itself by offering guided instruction and individual progress reports, providing a nuanced and tailored educational experience. Significantly, this work extends beyond technological innovation; Alpha-Bit's potential impact encompasses addressing educational inequalities, contributing to sustainability goals, and advancing the achievement of Sustainable Development Goal 4 (SDG 4). By democratizing education through innovative OCR technologies, Alpha-Bit emerges as a transformative force with the capacity to revolutionize learning experiences, making quality education universally accessible and empowering learners across diverse socio-economic backgrounds. 2024 ITU. Creator An entity primarily responsible for making the resource Ramasamy G.; Bagula A.; Rajan A.P.; Rengasamy P. Source A related resource from which the described resource is derived 2024 ITU Kaleidoscope: Innovation and Digital Transformation for a Sustainable World, ITU K 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.23919/ITUK62727.2024.10772809" target="_blank" rel="noreferrer noopener">https://doi.org/10.23919/ITUK62727.2024.10772809</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215303382&doi=10.23919%2FITUK62727.2024.10772809&partnerID=40&md5=9eaea8f4da540960986af539f8288ef9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215303382&doi=10.23919%2fITUK62727.2024.10772809&partnerID=40&md5=9eaea8f4da540960986af539f8288ef9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-926139091-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ramasamy G., Christ University, Bangalore, India; Bagula A., University of the Western Cape, Cape Town, South Africa; Rajan A.P., Christ University, Bangalore, India; Rengasamy P., Christ University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Convolutional Neural Networks for Automated Detection and Classification of Plasmodium Species in Thin Blood Smear Images Subject The topic of the resource automated diagnosis; convolutional neural networks; malaria; plasmodium; thin blood smear Description An account of the resource There has been a continued transmission of malaria throughout the world due to protozoan parasites from the Plasmodium species. As for treatment and control, it is very important to make correct and more efficient diagnostic. In order to observe the efficiency of the proposed approach, This Research built a Convolutional Neural Network (CNN) model for Automated detection and classification on thin blood smear images of Plasmodium species. This model was built on a corpus of 27558 images, included five Plasmodium species. Our CNN model got an overall accuracy of 96% for the cheating detection with an F 1score of 0.94. In the detection of the presence of malaria parasites the test accuracy conducted was as follows: 8%. Species-specific classification accuracies were: P. falciparum (95.7%), P. vivax (94.9%), P. ovale (93.2%), P. malaria (92.8%) and P. Knowles (91, 5%). As for the model SL was found to have sensitivity of 97.3% And the specificity in this case is 9 6. 1 %. The proposed CNN-based approach provides a sound and fully automated solution for malarial parasite detection and species determination, which could lead to better diagnostic performances in day-to-day practices. 2024 IEEE. Creator An entity primarily responsible for making the resource Mahesh Kumar A.S.; Maindola M.; Salis V.E.; Mitra A.; Janumala T.; Vijayan A. Source A related resource from which the described resource is derived 2024 1st International Conference on Software, Systems and Information Technology, SSITCON 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/SSITCON62437.2024.10797182" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SSITCON62437.2024.10797182</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215667362&doi=10.1109%2FSSITCON62437.2024.10797182&partnerID=40&md5=57809e5b65d0b54e86fcad30779dabe3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215667362&doi=10.1109%2fSSITCON62437.2024.10797182&partnerID=40&md5=57809e5b65d0b54e86fcad30779dabe3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835035293-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mahesh Kumar A.S., Maharaja Institute of Technology, Department of Electronics and Communication Engineering, Belawadi, India; Maindola M., Graphic Era Deemed to Be University, Department of Computer Science and Engineering, Dehradun, India; Salis V.E., Global Academy of Technology, Department of Information Science and Engineering, Bengaluru, India; Mitra A., Symbiosis Law School, Pune, Symbiosis International (Deemed University), Symbiosis Centre for Advanced Legal Studies and Research (SCALSAR), Pune, India; Janumala T., R v College of Engineering, Department of Electronics and Instrumentation Engineering, Bengaluru, India; Vijayan A., Christ University, Department of Computer Science and Engineering, Bengaluru, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Reinforcement Learning for Language Grounding: Mapping Words to Actions in Human-Robot Interaction Subject The topic of the resource Action-observation mapping; Human-robot interaction; Language grounding; Natural language understanding; Reinforcement learning Description An account of the resource Within the domain of human-robot communication, effective communication is paramount for seamless and smooth collaboration between humans and robots. A promising method for improving language grounding is reinforcement learning (RL), which enables robots to translate spoken commands into suitable behaviors. This paper presents a comprehensive review of recent advancements in RL techniques applied to the task of language grounding in human-robot interaction, focusing specifically on instruction following. Key challenges in this domain include the ambiguity of natural language, the complexity of action spaces, and the need for robust and interpretable models. Various RL algorithms and architectures tailored for language grounding tasks are discussed, highlighting their strengths and limitations. Furthermore, real-world applications and experimental results are examined, showcasing the effectiveness of RL-based approaches in enabling robots to understand and execute instructions from human users. Finally, promising directions for future research are identified, emphasizing the importance of addressing scalability, generalization, and adaptability in RL-based language grounding systems for human-robot interaction. 2024 IEEE. Creator An entity primarily responsible for making the resource Adapa S.R.; Gupta H.; Mukherjee S.; Mallupalli P.R.; Avhad P.; Upreti K. Source A related resource from which the described resource is derived 2024 International Conference on Emerging Trends in Networks and Computer Communications, ETNCC 2024 - Proceedings, pp. 447-452. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ETNCC63262.2024.10767575" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ETNCC63262.2024.10767575</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214693962&doi=10.1109%2FETNCC63262.2024.10767575&partnerID=40&md5=7764862b1936a22833547777416b389c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214693962&doi=10.1109%2fETNCC63262.2024.10767575&partnerID=40&md5=7764862b1936a22833547777416b389c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835035326-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Adapa S.R., OpenLogix LLC, Software Engineer, MI, United States; Gupta H., Software Engineer Meta, NJ, United States; Mukherjee S., VIT Institute, Electrical and Electronics Engg., Tamil Nadu, India; Mallupalli P.R., Arcesium, Hyderabad, India; Avhad P., Veermata Jijabai Technological Inst., Computer Engineering, Mumbai, India; Upreti K., Christ University, Dept. of Computer Science, Delhi NCR Campus, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Smart Satellites: Unveiling the Power of Artificial Intelligence in Space Communication-A Study Subject The topic of the resource ML for space data analysis; payload algorithms; Satellite Communication; Satellite operations; security measures in space communication Description An account of the resource The incorporation of Artificial Intelligence (AI) into space and satellite communication represents a paradigm shift in the way we explore, navigate, and communicate beyond our planet. This article is about the impact of AI on satellite operations, and the broader field of its communication to the earth. The article explores how AI enhances spacecraft autonomy, mitigates signal degradation, and improves the overall reliability of communication performance Satellite communication benefits from AI-driven advancements, in the areas of signal processing and optimization. Furthermore, examines the integration of AI in space-based challenges and opportunities associated with large-scale satellite networks. AI playing a crucial role in detecting and mitigating cyber security threats in space communication systems. This paper comes up with the perception into the future trends and potential advancements in AI applications for space and satellite communication. 2024 IEEE. Creator An entity primarily responsible for making the resource Sathya J.; Ramkumar S. Source A related resource from which the described resource is derived Proceedings of the 5th International Conference on Data Intelligence and Cognitive Informatics, ICDICI 2024, pp. 1296-1302. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICDICI62993.2024.10810891" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICDICI62993.2024.10810891</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216710054&doi=10.1109%2FICDICI62993.2024.10810891&partnerID=40&md5=177ed56595a9edbb8b1994b78d073f72" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216710054&doi=10.1109%2fICDICI62993.2024.10810891&partnerID=40&md5=177ed56595a9edbb8b1994b78d073f72</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038960-9 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sathya J., Christ University, Department of Computer Science, Bangalore, India; Ramkumar S., Christ University, Department of Computer Science, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Managing with Machines: A Comprehensive Assessment on the Use of Artificial Intelligence in Organizational Perspectives Subject The topic of the resource artificial intelligence; Business organizations; CRMs; employer productivity Description An account of the resource This complete study, delves into the multifaceted impacts of artificial Intelligence (AI) inside organizational settings, highlighting its ability and demanding situations. The investigation spans numerous aspects along with AI-driven customer relationship management (CRM), employee productivity, and overall performance enhancement thru AI. By analyzing distinct AI applications and methodologies across different organizational functions, this studies presents insights into how AI can transform industries, decorate CRM, improve employee productiveness, and foster sustainable development. Despite the promising programs, the study also addresses the pitfalls and enormous hesitancy in AI adoption due to disasters in some high-profile AI projects. The paper underscores the significance of strategic AI integration, context-consciousness, and the want for organizational readiness to leverage AI's full capability whilst aligning with the Sustainable improvement goals (SDGs). 2024 IEEE. Creator An entity primarily responsible for making the resource Chib S.; Gandhi M.P.; Bose S.S.; Thirulogasundaram V.P.; Prasanna H.N.; Lakshmi S.R. Source A related resource from which the described resource is derived 2024 International Conference on Cybernation and Computation, CYBERCOM 2024, pp. 483-487. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/CYBERCOM63683.2024.10803230" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CYBERCOM63683.2024.10803230</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216264441&doi=10.1109%2FCYBERCOM63683.2024.10803230&partnerID=40&md5=ffc05cd3bfbbb2d509d2691608b827c7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85216264441&doi=10.1109%2fCYBERCOM63683.2024.10803230&partnerID=40&md5=ffc05cd3bfbbb2d509d2691608b827c7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-833154234-4 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chib S., Datta Meghe Institute of Management Studies, Nagpur, India; Gandhi M.P., Yeshwantrao Chavan College of Engineering, Nagpur, India; Bose S.S., Amity Business School, Amity University, Chhattisgarh, Raipur, India; Thirulogasundaram V.P., Donbosco College of Management Studies and Computer Applications, Kumbalagode, Bangalore, 74, India; Prasanna H.N., Sri Venkateswara Coll. of Eng., Bangalore, India; Lakshmi S.R., Christ University, Business and Management, Karnataka, Bangalore, 560073, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing Dimensional Geometry Casting using Computer Modeling Subject The topic of the resource CATIA; Copper tubes; DOE; Modeling; Sand casting Description An account of the resource Sand casting method is used to produce many useful products for many applications. The aim of the study is to manufacture a product with excellent dimensional geometry is achieved in sand casting process at low cost. We would expect manuscripts to show how design and/or manufacturing problems have been solved using computer modeling, simulation and analysis. In this work, the important mechanical properties of hardness and surface roughness are investigated on Aluminum 6063 cast material with and without incorporating the copper tubes as a vent hole in sand casting process. Since copper has high thermal conductivity when compared to other metals, the heat transfer rate will be varying from existing system. The copper tubes have made different diameters of holes on outer surfaces with selective distance of intervals. The specific number of copper tubes with various diameters are designed by CATIA modeling software and analyzed with Taguchi Design of Experiment. Taguchi L9 orthogonal array is used proficiently in the optimal value of hardness and surface roughness. The results are revealed that the maximum hardness value of 104 BHN is attained for 10mm distance of holes made on copper tube with an angle of 90o degree. The minimum surface roughness of 2.11 micron is achieved for 20mm distance of holes made on copper tube with 45o of angle as a vent hole in sand casting process. 2024 E3S Web of Conferences Creator An entity primarily responsible for making the resource Janakiraman V.; Arulpandy P.; Al-Fatlawy R.R.; Ranganayaki S.; Singh R. Source A related resource from which the described resource is derived E3S Web of Conferences, Vol-491 Publisher An entity responsible for making the resource available EDP Sciences Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1051/e3sconf/202449101005" target="_blank" rel="noreferrer noopener">https://doi.org/10.1051/e3sconf/202449101005</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188341382&doi=10.1051%2Fe3sconf%2F202449101005&partnerID=40&md5=e44a0254799641530b613a77d36f5d21" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188341382&doi=10.1051%2fe3sconf%2f202449101005&partnerID=40&md5=e44a0254799641530b613a77d36f5d21</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25550403 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Janakiraman V., Department of Mechanical Engineering, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, India; Arulpandy P., Department of Mathematics, Christ (Deemed to Be University), Karnataka, Bangalore, 560073, India; Al-Fatlawy R.R., The Islamic University, Najaf, Iraq; Ranganayaki S., Mathematics, Sri Ramakrishna Engineering College, Coimbatore, India; Singh R., Department of Electronics & Communication Engineering, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, 248007, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Designing a Precision Seed Sowing Machine for Enhanced Crop Productivity Subject The topic of the resource CATIA and analysis; Design; Seed machine Description An account of the resource A seed sowing machine is a valuable agricultural device that facilitates the precise and efficient sowing of seeds in fields. When designing and optimizing such a machine, several crucial factors need consideration including seed size, seed rate, soil type, and field conditions. The primary objective is to achieve uniform seed distribution and optimal seed-to-soil contact, which can be accomplished by incorporating a seed metering mechanism to control the seed rate accurately. Versatility is another important aspect of the machine's design, as it should be able to handle different seed sizes, types, soil conditions, and field variations. To achieve this, utilizing advanced technologies such as sensors, automation, and precision farming techniques can significantly enhance the machine's performance and efficiency while also reducing costs and minimizing environmental impact. The optimization of a seed sowing machine plays a crucial role in ensuring successful crop production. By implementing cutting-edge technologies and precision farming techniques, farmers can increase their yields and decrease the amount of seed and fertilizer needed for a specific area. Ultimately, this leads to improved productivity, increased profitability, and a more sustainable approach to agriculture. 2024 E3S Web of Conferences Creator An entity primarily responsible for making the resource Sudha Paulin M.; Pant R.; Naveena S.S.; Mundher Adnan M.; Aggarwal S.; Kandavel R. Source A related resource from which the described resource is derived E3S Web of Conferences, Vol-491 Publisher An entity responsible for making the resource available EDP Sciences Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1051/e3sconf/202449101016" target="_blank" rel="noreferrer noopener">https://doi.org/10.1051/e3sconf/202449101016</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188328830&doi=10.1051%2Fe3sconf%2F202449101016&partnerID=40&md5=a174c7c0b885ace622489d425bb382ca" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188328830&doi=10.1051%2fe3sconf%2f202449101016&partnerID=40&md5=a174c7c0b885ace622489d425bb382ca</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 25550403 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sudha Paulin M., Business and Management-Kengeri Campus, Christ (Deemed to Be University) Bangalore, India; Pant R., Uttaranchal Institute of Management, Uttaranchal University, Uttarakhand, India; Naveena S.S., Department of Mba, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, 600 127, India; Mundher Adnan M., The Islamic University, Najaf, Iraq; Aggarwal S., Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, 248007, India; Kandavel R., School of Management, Jeppiaar University, Tamilnadu, Chennai, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Surface Roughness Analysis in AWJM for Enhanced Workpiece Quality Subject The topic of the resource AWJM; Process-optimization; Process-parameter Description An account of the resource Abrasive Water Jet Machining is a distinctive manufacturing process that effectively removes material from a workpiece by employing a high-pressure stream of water combined with abrasive particles. The final quality of the machined surface is directly influenced by various process parameters, such as the traverse speed, hydraulic pressure, stand-off distance, abrasive flow rate, and the specific type of abrasive used. In recent times, extensive research has been undertaken to enhance the performance of AWJM, with a specific focus on critical performance measures like surface roughness. This paper presents the latest advancements in AWJM research, with particular attention given to enhancing performance measures, implementing process monitoring and control, and optimizing process variables for applications involving high-carbon steel. 2024 E3S Web of Conferences Creator An entity primarily responsible for making the resource Manikandan M.; Hemalatha S.; Chandramauli A.; Ambrose S.; Alsalami Z. Source A related resource from which the described resource is derived E3S Web of Conferences, Vol-491 Publisher An entity responsible for making the resource available EDP Sciences Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1051/e3sconf/202449104019" target="_blank" rel="noreferrer noopener">https://doi.org/10.1051/e3sconf/202449104019</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188351690&doi=10.1051%2Fe3sconf%2F202449104019&partnerID=40&md5=e41cabc48cd1fa6e4811abcbbc173a07" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188351690&doi=10.1051%2fe3sconf%2f202449104019&partnerID=40&md5=e41cabc48cd1fa6e4811abcbbc173a07</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 25550403 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Manikandan M., Pasumpon Muthuramalinga Thevar College, Usilampatti, India; Hemalatha S., Department of Electrical and Electronics Engineering, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, 600 127, India; Chandramauli A., Department of Civil Engineering, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, 248007, India; Ambrose S., Commerce Dept, Christ (Deemed to Be University), India; Alsalami Z., The Islamic University, Najaf, Iraq Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Mechanical Properties of FSW Joints Magnesium Alloy at Different Rotational Speeds Description An account of the resource Magnesium (Mg) has become a focus in the transportation industry due to its potential in reducing fuel consumption and gas emissions while improving recyclability. Mg alloys are also known for their low neutron absorption, good resistant of carbon dioxide as well as thermal conductivity which makes them suitable for use in industrial equipment for nuclear energy. there has been an increasing interest in the research and development of Mg alloys. These are the lightest of all metallic structural materials and are approximately 33% lighter than aluminium (Al) and 75% lighter than ferrous (Fe) alloys and have excellent specific mechanical properties. In this work, FSW of AZ31B Alloy was examined at the various rotational speeds of 900 -1440 rpm, with fixed welding speed of 40mm/min and 2 tool tilt angle using an HSS tool. The mechanical properties were compared for the different rotational speeds. The quality of FSW joints is dependent on input value of heat and material flow rate, which are prejudiced by process parameters., higher rotation speeds may cause abnormal stirring, resulting in a tunnel defect at the weld nugget due to increased strain rate and turbulence. 2024 E3S Web of Conferences Creator An entity primarily responsible for making the resource Vijayaraghavan P.; Bisht Y.S.; Almusawi M.; Subramani K.; Sharma D. Source A related resource from which the described resource is derived E3S Web of Conferences, Vol-491 Publisher An entity responsible for making the resource available EDP Sciences Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1051/e3sconf/202449104015" target="_blank" rel="noreferrer noopener">https://doi.org/10.1051/e3sconf/202449104015</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188282078&doi=10.1051%2Fe3sconf%2F202449104015&partnerID=40&md5=0a1bd5148ad78f3a9889512b3cd4e19b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188282078&doi=10.1051%2fe3sconf%2f202449104015&partnerID=40&md5=0a1bd5148ad78f3a9889512b3cd4e19b</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 25550403 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Vijayaraghavan P., Department of Mechanical Engineering, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, 600 127, India; Bisht Y.S., Department of Mechanical Engineering, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, 248007, India; Almusawi M., The Islamic University, Najaf, Iraq; Subramani K., School of Business and Management, Christ (Deemed to Be University), Bengaluru, India; Sharma D., Department of Management, Uttaranchal Institute of Management, Uttaranchal University, Dehradun, 248007, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Stir Speed and Reinforcement Effects on Tensile Strength in Al-Based Composites Subject The topic of the resource AMCs; Squeeze casting and optimization Techniques Description An account of the resource This study focuses on the preparation of Al-based hybrid composites using AA7475 as the main alloy reinforced with two materials, ZrO2 and SiC. The combination of stir-squeeze processing techniques was employed to create various specimens by varying four parameters: Stir-speed, Stir-time, reinforcements, and squeeze pressure. Taguchi design was utilized to generate specimens for analyzing their mechanical properties, specifically tensile strength, hardness, and porosity.The results indicated that the highest porosity (4.44%) was observed in the L16 test, with a combination of 700rpm stir speed, 25 mins stir time, 2wt% reinforcements, and 80MPa squeeze pressure. On the other hand, the lowest porosity (2.61%) was found in the L7 test, with 800rpm stir speed, 30 mins stir time, 2wt% reinforcements, and 100 MPa squeeze pressure.Regarding tensile strength (UTS), the maximum value (285.23MPa) was achieved in the L13 experiment, while the minimum value (187.58 MPa) was observed in the L1 experiment. This variation in UTS can be attributed to the applied load, the strengthening effect of the reinforcements, and the grain size of SiC. 2024 E3S Web of Conferences Creator An entity primarily responsible for making the resource Rajendran S.; Arulpandy P.; Reena R.; Thakur G.; Al-Jawahry H.M. Source A related resource from which the described resource is derived E3S Web of Conferences, Vol-491 Publisher An entity responsible for making the resource available EDP Sciences Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1051/e3sconf/202449104020" target="_blank" rel="noreferrer noopener">https://doi.org/10.1051/e3sconf/202449104020</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188292214&doi=10.1051%2Fe3sconf%2F202449104020&partnerID=40&md5=9fe90bf254ab1043f539a4ed4b4483d8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188292214&doi=10.1051%2fe3sconf%2f202449104020&partnerID=40&md5=9fe90bf254ab1043f539a4ed4b4483d8</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 25550403 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rajendran S., Department of Mechanical Engineering, Jaya Engineering College, Chennai, India; Arulpandy P., Department of Mathematics, Christ (Deemed to Be University), Karnataka, Bangalore, 560073, India; Reena R., Department of Computer Science and Engineering, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, 600 127, India; Thakur G., Department of Civil Engineering, Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, 248007, India; Al-Jawahry H.M., The Islamic University, Najaf, Iraq Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Integration of enterprise resource planning system as an effective technology for increasing business productivity Subject The topic of the resource Acumatica; budget-managing and Odoo ERP; NetSuite; Sage Intacct; SAP business; Track Spending Description An account of the resource Enterprise Resource Planning (ERP) refers to a potential software, which organisations utilise for managing daily basis activities such as proper accounting, project management, compliance as well as procurement actions within organisational standards for achieving better business performance. This research focuses on understanding ways of ERP usage of businesses for enhancing potential procurement as well as accounting for assuring best performance achievement. Literature from different company reports and other sources has been implemented that brings out an understanding of productivity optimisation of organisations using ERP. It also focuses on illustrating different types of ERP along with assuring better data visibility aspects of the ERP usage for allowing consumers to view real time data while progressing with business relationships and enabling higher procurement standards. The research aims to investigate ways in which different types of ERP are used by organisations for assuring better accounting performance and procurement standards in their marketing environment. Hypothesis is a positive association between ERP utilisation and implementation in organisation and its accounting and procurement standards, achieving high performance in the competitive market. Methodology used in this research involves Exploratory research design with a probability sampling for bringing out best possible outcomes of the research. Sample sizes include secondary sources such as articles, journals and relevant company reports and databases for understanding ways in which ERP helps in attaining suitable accounting and procurement practices of businesses within organisational standards. Results as well as implications indicate an optimal relation of proper risk management through enhancing ERP and usage of most suitable ERP that assures best possible procurement and accounting practices for businesses to get competitive advantage in the market. 2024 Author(s). Creator An entity primarily responsible for making the resource Pallathadka H.; Dawra A.; Shrinivas K.; Viji R.; Singh P. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-2816, No. 1 Publisher An entity responsible for making the resource available American Institute of Physics Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1063/5.0177432" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0177432</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189290066&doi=10.1063%2F5.0177432&partnerID=40&md5=673c3cd2e4e0cc305ef57165cc6437eb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189290066&doi=10.1063%2f5.0177432&partnerID=40&md5=673c3cd2e4e0cc305ef57165cc6437eb</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 0094243X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pallathadka H., Manipur International University, Manipur, Imphal, India; Dawra A., Chandigarh University, Punjab, Mohali, India; Shrinivas K., School of Business and Management, CHRIST (Deemed to Be University), Karnataka, Bengaluru, India; Viji R., Kalasalingam Business School, Krishnankoil, Srivilliputhur, India; Singh P., Graphic Era Deemed to Be University, Uttarakhand, Dehradun, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Restrained geodetic domination in the power of a graph Subject The topic of the resource diameter; Power; RGD number Description An account of the resource For a graph G = (V,E), S ? V(G) is a restrained geodetic dominating set, if S is a geodetic dominating (gd) set and never consists an isolated vertex. The least cardinality of such a set is known as the restrained geodetic domination (rgd) number. The power of a graph G is denoted as Gk and is obtained from G by making adjacency between the vertices provided the distance between those vertices must be at most k. In this study, we discussed geodetic number and rgd number of Gk. 2024 Author(s). Creator An entity primarily responsible for making the resource Mulloor J.J.; Sangeetha V. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-3037, No. 1 Publisher An entity responsible for making the resource available American Institute of Physics Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1063/5.0196078" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0196078</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190462575&doi=10.1063%2F5.0196078&partnerID=40&md5=1630476845eae3f3d57d06225db0167d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190462575&doi=10.1063%2f5.0196078&partnerID=40&md5=1630476845eae3f3d57d06225db0167d</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 0094243X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mulloor J.J., Department of Mathematics, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Sangeetha V., Department of Mathematics, CHRIST (Deemed to Be University), Bengaluru, 560029, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Finding Real-Time Crime Detections during Video Surveillance by Live CCTV Streaming Using the Deep Learning Models Subject The topic of the resource Classification; Deep Learning; live CCTV; Real-Time crime detection (RCV); Video Surveillance Description An account of the resource Nowadays, securing people in public places is an emerging social issue in the research of real-Time crime detection (RCD) by video surveillance, in which initial automatic recognition of suspicious objects is considered a prime problem in RCD. Dynamic live CCTV monitoring and finding real-Time crime activities by detecting suspicious objects is required to prevent unusual activities in public places. Continuous live CCTV video surveillance of objects and classification of suspicious activities are essential for real-Time crime detection. Deep training models have greatly succeeded in image and video classifications. Thus, this paper focuses on the use of trustworthy deep learning models to intelligently classify suspicious objects to detect real-Time crimes during live video surveillance by CCTV. In the experimental study, various convolutional neural network (CNN) models are trained using real-Time crime and non-crime videos. Three performance parameters, accuracy, loss, and computational time, are estimated for three variants of CNN models for the real-Time crime classifications. Three categories of videos, i.e., crime video (CV), non-crime video (NCV), and weapon-crime video (WCV), are used in the training of three deep models, CNN, 3D CNN, and Convolutional Long short-Term memory (ConvLSTM). The ConvLSTM scored higher accuracy, lower loss values, and runtime efficiency than CNN and 3D CNN when detecting real-Time crimes. 2024 ACM. Creator An entity primarily responsible for making the resource Poonia R.C.; Upreti K.; Prabu P.; Rajendra Prasad K. Source A related resource from which the described resource is derived ACM International Conference Proceeding Series, pp. 272-277. Publisher An entity responsible for making the resource available Association for Computing Machinery Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1145/3669754.3669794" target="_blank" rel="noreferrer noopener">https://doi.org/10.1145/3669754.3669794</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203828349&doi=10.1145%2F3669754.3669794&partnerID=40&md5=e038488dd6b27ac09fd3edc356e967f4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203828349&doi=10.1145%2f3669754.3669794&partnerID=40&md5=e038488dd6b27ac09fd3edc356e967f4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-840071705-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Poonia R.C., Department of Computer Science, Christ University, Delhi NCR, India; Upreti K., Department of Computer Science, Christ University, Delhi NCR, India; Prabu P., Department of Computer Science, Christ University, Delhi NCR, India; Rajendra Prasad K., Department of Computer Science and Engineering, Institute of Aeronautical Engineering, Telangana, Hyderabad, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Improving Renewable Energy Operations in Smart Grids through Machine Learning Description An account of the resource This paper reviews the work in the areas of machine learning's role in bolstering renewable energy within smart grids. As the global shift towards eco-friendly energy sources such as wind and solar gains momentum, the challenge lies in managing these unpredictable energy sources efficiently. Innovative learning techniques are emerging as potential solutions to these challenges, optimising the use and benefits of renewable energies. Furthermore, the landscape of energy distribution is evolving, with a growing emphasis on automated decision-making software. Central to this evolution is machine learning, with its applications spanning a range of sectors. These include enhancing energy efficiency, seamlessly integrating green energy sources, making sense of vast data sets within smart grids, forecasting energy consumption patterns, and fortifying the security of power systems. Through a comprehensive review of these areas, this paper highlights the potential of machine learning in paving the way for a greener, more efficient energy future. The Authors, published by EDP Sciences, 2024. Creator An entity primarily responsible for making the resource Muralidharan P.; Subramani K.; Habelalmateen M.I.; Pant R.; Mishra A.; Ikhar S. Source A related resource from which the described resource is derived E3S Web of Conferences, Vol-540 Publisher An entity responsible for making the resource available EDP Sciences Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1051/e3sconf/202454010023" target="_blank" rel="noreferrer noopener">https://doi.org/10.1051/e3sconf/202454010023</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198065976&doi=10.1051%2Fe3sconf%2F202454010023&partnerID=40&md5=bdecf2d7ff02aba116b0a27c5640ec0a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198065976&doi=10.1051%2fe3sconf%2f202454010023&partnerID=40&md5=bdecf2d7ff02aba116b0a27c5640ec0a</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 25550403 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Muralidharan P., School of Business and Management, CHRIST University, yeshwanthpur campus, Bangalore, India; Subramani K., School of Business and Management, CHRIST(Deemed to Be University), Yeshwantpur Campus, Bangalore, India; Habelalmateen M.I., The Islamic University, Najaf, Iraq; Pant R., Uttaranchal Institute of Management, Uttaranchal University, Uttarakhand, India; Mishra A., Department of Computer Science & Engineering, IES College of Technology, IES University, Madhya Pradesh, Bhopal, 462044, India; Ikhar S., Yashika Journal Publications Pvt Ltd, Maharashtra, Wardha, India