130 20 16481 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 Articles Article Faculty Publications -Articles 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 Approach for Collision Minimization and Enhancement of Power Allocation in WSNs Description An account of the resource Wireless sensor networks (WSNs) have attracted much more attention in recent years. Hence, nowadays, WSN is considered one of the most popular technologies in the networking field. The reason behind its increasing rate is only for its adaptability as it works through batteries which are energy efficient, and for these characteristics, it has covered a wide market worldwide. Transmission collision is one of the key reasons for the decrease in performance in WSNs which results in excessive delay and packet loss. The collision range should be minimized in order to mitigate the risk of these packet collisions. The WSNs that contribute to minimize the collision area and the statistics show that the collision area which exceeds equivalents transmission power has been significantly reduced by this technique. This proposed paper optimally reduced the power consumption and data loss through proper routing of packets and the method of congestion detection. WSNs typically require high data reliability to preserve identification and responsiveness capacity while also improving data reliability, transmission, and redundancy. Retransmission is determined by the probability of packet arrival as well as the average energy consumption. 2021 Debabrata Singh et al. Creator An entity primarily responsible for making the resource Singh D.; Bhanipati J.; Biswal A.K.; Samanta D.; Joshi S.; Shukla P.K.; Nuagah S.J. Source A related resource from which the described resource is derived Journal of Sensors, Vol-2021 Publisher An entity responsible for making the resource available Hindawi Limited Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1155/2021/7059881" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2021/7059881</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122731292&doi=10.1155%2F2021%2F7059881&partnerID=40&md5=ae91f85bbdcdd0c11e8de77c694edb43" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122731292&doi=10.1155%2f2021%2f7059881&partnerID=40&md5=ae91f85bbdcdd0c11e8de77c694edb43</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 1687725X 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singh D., Department of CA, ITER, SOA Deemed To Be University, Odisha, Bhubaneswar, 751030, India; Bhanipati J., Department of CSE, ITER, SOA Deemed To Be University, Odisha, Bhubaneswar, 751030, India; Biswal A.K., Department of CSE, ITER, SOA Deemed To Be University, Odisha, Bhubaneswar, 751030, India; Samanta D., Department of Computer Science, CHRIST (Deemed To Be University), Karnataka, Bengaluru, 560029, India; Joshi S., Department of Computer Engineering, SVKM'S NMIMS MPSTME Shirpur Campus, Maharashtra Savalade, 425405, India; Shukla P.K., Department of CSE, University Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya (Technological University of Madhya Pradesh), Bhopal, 462033, India; Nuagah S.J., Department of Electrical Engineering, Tamale Technical University, P.O. Box 3 E/R., Tamale, Ghana 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 Approach for Preprocessing in offline Optical Character Recognition (OCR) Subject The topic of the resource Binarization; Image correction; Image enhancement; Preprocessing; Segmentation; Thinning Description An account of the resource offline optical character recognition (offline OCR) is one of the important applications of pattern recognition. To achieve a better recognition result, the input character images must have good quality. That is why the preprocessing step be-comes essential for any image identification task. Lots of research has been performed in numerous jobs towards this preprocessing in the literature. Here, an attempt has been made to summarize different procedures and aspects of preprocessing adopted in implementing these preprocessing techniques. This is done in the hope that this may help the research community towards the gaining of knowledge of different preprocessing techniques used in offline OCR. offline OCR has several applications, such as old manuscript digitization, signature authentication, bank cheque automatic clearance and postal letter sorting, etc. Finally, an overall summary in a concise way has been presented based on different preprocessing techniques used in offline OCR. 2022 IEEE. Creator An entity primarily responsible for making the resource Dey R.; Balabantaray R.C.; Mohanty S.; Singh D.; Karuppiah M.; Samanta D. Source A related resource from which the described resource is derived 2022 International Conference on Interdisciplinary Research in Technology and Management, IRTM 2022 - Proceedings 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IRTM54583.2022.9791698" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IRTM54583.2022.9791698</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133431157&doi=10.1109%2FIRTM54583.2022.9791698&partnerID=40&md5=cfaa3fb86ba21a22bfc631cea86d607c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133431157&doi=10.1109%2fIRTM54583.2022.9791698&partnerID=40&md5=cfaa3fb86ba21a22bfc631cea86d607c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547886-1 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 Dey R., Iiit Bhubaneswar, Department Of Cse, Bhubaneswar, India; Balabantaray R.C., Iiit Bhubaneswar, Department Of Cse, Bhubaneswar, India; Mohanty S., Driems, Department Of Computer Science And Engineering, Cuttack, India; Singh D., Soa University, Department Of Ca, Bhubaneswar, India; Karuppiah M., Srm Institute Of Science And Technology, Department Of Computer Science And Engineering, Ghaziabad, India; Samanta D., Christ (Deemed To Be 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 Approach Towards Web for Exploring the Suitable Job for Individuals Subject The topic of the resource COVID-19; Digital; Experiential Learning; HRM; Web Applications Description An account of the resource In light of future work challenges, true human resource management (HRM) must be rebuilt. This involves over time human resource development; it must also contain the concept of sustainability to move from consuming to generating human resources. The labor market is constantly changing, with nontraditional jobs becoming increasingly important, especially in light of the current COVID-19 legislation. A useful teaching strategy in a variety of academic fields, including career development, is experiential learning. Important elements for establishing experiential learning programs at the institutional level are also covered by researchers. Our framework may assist businesses in identifying the type of experiential learning that best fits their objectives and setting for professional training. It can also help ensure that the training is successfully designed and delivered. 2024 IEEE. Creator An entity primarily responsible for making the resource Goyal V.; Tiwari A.; Jadhav S.K.; Yelapure S.; Yadav R.; Narasimha Prasad L.V. Source A related resource from which the described resource is derived Proceedings - 2024 International Conference on Healthcare Innovations, Software and Engineering Technologies, HISET 2024, pp. 246-249. 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/HISET61796.2024.00079" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/HISET61796.2024.00079</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211326394&doi=10.1109%2FHISET61796.2024.00079&partnerID=40&md5=e951144eafeb79014545a63b00f058f0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85211326394&doi=10.1109%2fHISET61796.2024.00079&partnerID=40&md5=e951144eafeb79014545a63b00f058f0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036070-7 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 Goyal V., Christ (Deemed to Be University), Ghaziabad, India; Tiwari A., Christ (Deemed to Be University), Ghaziabad, India; Jadhav S.K., Krishna Institute of Computer Application and Management, Karad, India; Yelapure S., Krishna Institute of Computer Application and Management, Karad, India; Yadav R., Krishna Vishwa Vidyapeeth (Deemed to Be University), Department of Surgery, Karad, India; Narasimha Prasad L.V., Institute of Aeronautical Engineering, Department of Computer Science and Engineering, 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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Approaches on redesigning entrepreneurship education Description An account of the resource All over the world there is an emergence of a self-reliant life. This instilled a spark in entrepreneurship, especially during the wake of a pandemic world. The paradigm shift from dependency to self-reliance demands a set of skills and techniques as prerequisites to thrive in this competitive world. This chapter introduces a couple of innovative pedagogy strategies that can be inculcated in educational institutions, which will give rise to efficient entrepreneurs who can face adversaries and make an efficient contribution to society. The chapter aims to integrate realistic learning activities for fostering capability development in entrepreneurship education. Capability enhancement in entrepreneurship education includes activities that improve the knowledge, skills, and talents of potential entrepreneurs. The chapter aims to develop a model that further illustrates how the educational entrepreneurial experience could be explored. 2023, IGI Global. Creator An entity primarily responsible for making the resource Sankar M.; Sophan A.; Kureethara J.V. Source A related resource from which the described resource is derived Context, Policy, and Practices in Indigenous and Cultural Entrepreneurship, pp. 74-92. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-6684-7578-2.ch004" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-7578-2.ch004</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163540665&doi=10.4018%2F978-1-6684-7578-2.ch004&partnerID=40&md5=dd662c5afd04a562083793716a9e9845" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163540665&doi=10.4018%2f978-1-6684-7578-2.ch004&partnerID=40&md5=dd662c5afd04a562083793716a9e9845</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166847580-5; 978-166847578-2 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sankar M., Christ University, India; Sophan A., Christ University, India; Kureethara J.V., Christ University, 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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Kumar, Prince; Sharma, Nandini; Bushra, Seema; Chinnaiyan, R.; Khanna, Vimal Kumar; Sabarmathi, G. Title A name given to the resource Approaches To Improve Performance of K-Means Clustering Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 2nd International Conference on New Frontiers in Communication, Automation, Management and Security, ICCAMS 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCAMS65118.2025.11234167" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCAMS65118.2025.11234167</a> <a href="https://www.scopus.com/pages/publications/105030103570?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105030103570?origin=resultslist</a> 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., Lingaya's Vidyapeeth, AI/ML Lab, Centre of Excellence, Department of Computer Science and Engineering, Haryana, Faridabad, India; Sharma N., Lingaya's Vidyapeeth, AI/ML Lab, Centre of Excellence, Department of Computer Science and Engineering, Haryana, Faridabad, India; Bushra S., AI/ML Lab, Centre of Excellence, School of Commerce & Management, Lingaya's Vidyapeeth, Haryana, Faridabad, India; Chinnaiyan R., Lingaya's Vidyapeeth, AI/ML Lab, Centre of Excellence, Department of Computer Science and Engineering, Haryana, Faridabad, India; Khanna V.K., Lingaya's Vidyapeeth, AI/ML Lab, Centre of Excellence, Department of Computer Science and Engineering, Haryana, Faridabad, India; Sabarmathi G., School of Computer Science, Christ University, Bangalore, India Description An account of the resource In this research, we present an enhanced K-Means clustering approach utilizing Neural Engine processors integrated within distributed smartphone networks. Each smartphone runs the K-Means algorithm locally using its Neural Engine to compute centroids efficiently, and these local centroids are then combined to form global clusters on a cloud server. Our implementation significantly reduces computation time while maintaining high clustering accuracy. Experimental evaluation on large datasets demonstrates improved performance over traditional K-Means, proving its suitability for big data analytics in healthcare, IoT, and smart mobile applications. This approach ensures faster processing, lower energy consumption, and effective resource utilization within distributed environments. Further, the proposed method addresses challenges in data privacy by performing local computation and only sharing centroid information. The results indicate potential for scalable clustering solutions in real-time scenarios, opening new directions for edge-cloud integrated machine learning frameworks that harness device-level AI accelerators for complex data-driven tasks efficiently. 2025 IEEE. Subject The topic of the resource Genetic Algorithm; K Means Clustering; KM-SML; Neural Engine Processor; Principal Components Analysis Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833159610-1; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 Approaches Towards A Recommendation Engine for Life Insurance Products Subject The topic of the resource Clustering; Insurance; Predictive Modelling; recommendations Description An account of the resource Recommender engines are powerful tools in today's world to overcome the problem of over choice. As the world is moving towards information overload, the life insurance industry is no more immune than any other domain. Three broad categories of life insurance plans are namely - Endowment, Term and ULIP. This paper discusses a variety of ML models that aim to classify the right fit product category for a new customer (extendable to existing customers) on a real-time life insurance company dataset. The dataset used for the modelling were of 2 kinds. The first kind contained features of customer demographics - age, location, education and occupation. The second dataset included these customer demographics as well as the bureau information of the respective customers which included multiple features describing their credit history. By the means of clustering, collaborative filtering approaches were tried on. Also, the problem was tackled using predictive modelling techniques such as Random Forest, Decision Trees and XGBoost. 2021 IEEE. Creator An entity primarily responsible for making the resource Vij A.; Preethi N. Source A related resource from which the described resource is derived 2021 IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2021 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICMNWC52512.2021.9688436" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICMNWC52512.2021.9688436</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125729619&doi=10.1109%2FICMNWC52512.2021.9688436&partnerID=40&md5=2969a91134c6e49ae33a4767c9c8c270" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125729619&doi=10.1109%2fICMNWC52512.2021.9688436&partnerID=40&md5=2969a91134c6e49ae33a4767c9c8c270</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-073814637-9 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 Vij A., CHRIST University, India; Preethi N., CHRIST University, India https://archives.christuniversity.in/files/original/b26dbbca2c02c49527a795c06e563ee7.pdf c6c2d0e846ce73713191943d97874047 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 MPHIL Mphil Mphil Thesis 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 Appropriation and commercialization of mythology: A reading of amish tripathi???s Shiva Trilogy Creator An entity primarily responsible for making the resource Dileep Lakshmi Date A point or period of time associated with an event in the lifecycle of the resource 2015 Source A related resource from which the described resource is derived English 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 Approximate Binary Stacking Counters for Error Tolerant Computing Multipliers Subject The topic of the resource Approximate multipliers; carry propagation; Compressors; Multipliers; Stacking counters Description An account of the resource To increase the power and efficiency of VLSI circuits, a new, creative multiplying methodology is required. Multiplication is a crucial arithmetic operation for many of these applications. As a result, the newly proposed error-tolerant computing multiplier is a crucial component in the design of approximate multipliers that are both power and gate efficient. We have created approximative multipliers for several operand lengths using this suggested method and a 45-nm library. Depending on their probability, the approximation for the accumulation of changing partial products varies. In compared to approximate multipliers that were previously given, the proposed circuit produces better results. When column-wise generate elements are added to the modified partial product matrix using an OR gate, the output is usually accurate. The amount of energy used, and its silicon area have been considerably reduced in the suggested multiplier when compared to traditional multipliers by 41.92% and 18.47%, respectively. One of the platforms that these suggested multipliers are suitable for is the image processing application. 2024 IEEE. Creator An entity primarily responsible for making the resource Balamanikandan A.; Ashokkumar N.; Arunraja A.; James Periyanayagam L.; Pereira A.P.; Lobo J.P. Source A related resource from which the described resource is derived 2024 4th International Conference on Intelligent Technologies, CONIT 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/CONIT61985.2024.10626276" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CONIT61985.2024.10626276</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202765065&doi=10.1109%2FCONIT61985.2024.10626276&partnerID=40&md5=bc2a7cee99dd91550e3b76cc4e839129" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202765065&doi=10.1109%2fCONIT61985.2024.10626276&partnerID=40&md5=bc2a7cee99dd91550e3b76cc4e839129</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034990-0 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 Balamanikandan A., Mohan Babu University((Erstwhile SreeVidyanikethan Engineering College), Electronics and Communication Engineering, Tirupati, India; Ashokkumar N., Mohan Babu University((Erstwhile SreeVidyanikethan Engineering College), Electronics and Communication Engineering, Tirupati, India; Arunraja A., Christ (Deemed to Be University), Electronics and Communication Engineering, Bangalore, India; James Periyanayagam L., Christ (Deemed to Be University), Electronics and Communication Engineering, Bangalore, India; Pereira A.P., Christ (Deemed to Be University), Electronics and Communication Engineering, Bangalore, India; Lobo J.P., Christ (Deemed to Be University), Electronics and Communication Engineering, 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 Faculty Publications Article Faculty Publications -Articles 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/. Creator An entity primarily responsible for making the resource Upreti, Kamal; Shankar, Uma; Upreti, Shitiz; Radhakrishnan, G.V.; Hundekari, Sheela; Date, Saroj Title A name given to the resource AQUAPHISH: Leveraging Metaheuristics and Automated Machine Learning for Precision Phishing Detection Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Journal of Applied Science and Technology Trends;Volume;6;Issue;1;pp.87-102 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.38094/jastt61238" target="_blank" rel="noreferrer noopener">https://doi.org/10.38094/jastt61238</a> <a href="https://www.scopus.com/pages/publications/105012279379?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012279379?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Upreti K., Department Computer Applications, Christ University, Delhi NCR, Ghaziabad, India; Shankar U., Faculty of Management and Social Sciences, Qaiwan International University, Kurdistan Region, Sulaimanyah, Iraq; Upreti S., Lloyd Business School, Uttar Pradesh, Greater Noida, India; Radhakrishnan G.V., Department of Economics and Finance, KIIT School of Management (KSOM), KIIT University, Bhubaneswar, India; Hundekari S., Chinchwad University, School of Computer Applications, Pune, India; Date S., Department of Artificial Intelligence and Data Science, CSMSS Chh. Shahu College of Engineering, Chh. Sambhajinagar, Maharashtra, India Description An account of the resource Phishing is an ongoing and dynamic threat in the field of cybersecurity, targeting user trust to capture sensitive data through fraudulent websites. Conventional detection systems tend to use binary classification and static features, which make them less flexible to new attack paradigms. This paper seeks to design a solid and comprehensible phishing detection system that alleviates the drawbacks of binary labeling by proposing a regression-based risk scoring model. The aim is to improve accuracy, feature interpretability, and deployment in real-time settings. The new method combines Whale Optimization Algorithm (WOA) for feature selection and H2O AutoML for model creation and assessment. A filtered dataset of 10,000 phishing and normal websites is operated upon using 48 features, which are then reduced to 36 using WOA. The last models are optimized with H2O AutoML, encompassing ensemble learners, and tested on various regression metrics. Interpretability is achieved with SHAP analysis. The best model had an R of 0.9534, RMSE of 0.1079, and MSE of 0.0116, better than traditional classification-based phishing detectors. The system, with only 36 features, had training time decreased by 23.6% and inference latency reduced by ~18%, without any sacrifice in detection accuracy (98.3%). Regression-based scoring also supported adaptive threat ranking in real time. By posing phishing detection as a regression problem and integrating metaheuristic feature selection with AutoML, this work introduces a scalable and explainable framework ready for real-world deployment. The low-latency yet high-accuracy model is best suited for integration into browser-level phishing filters and cloud-based threat intelligence platforms. 2025, Interdisciplinary Publishing Academia. All rights reserved. Subject The topic of the resource cybersecurity; optimization algorithm; Phishing attack; random forest algorithm; regression analysis; whale optimization algorithm Publisher An entity responsible for making the resource available Interdisciplinary Publishing Academia Relation A related resource ISSN: 27080757; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online 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 Faculty Publications Article Faculty Publications -Articles 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/. Creator An entity primarily responsible for making the resource Babu, Chrisma Rose; Anila, E.I.; Avani, A.V. Title A name given to the resource Aqueous symmetric supercapacitor based on hydrothermally grown reduced graphene oxide wrapped cobalt oxide nanocomposites: An efficient paradigm for enhanced performance in supercapacitors Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Fuel;Volume;406;Issue;;Article No.;137225; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.fuel.2025.137225" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.fuel.2025.137225</a> <a href="https://www.scopus.com/pages/publications/105022154902?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022154902?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Babu C.R., Optoelectronic and Nanomaterials Research Laboratory, Department of Physics and Electronics, CHRIST University, Karnataka, Bengaluru, 560029, India; Anila E.I., Optoelectronic and Nanomaterials Research Laboratory, Department of Physics and Electronics, CHRIST University, Karnataka, Bengaluru, 560029, India; Avani A.V., Optoelectronic and Nanomaterials Research Laboratory, Department of Physics and Electronics, CHRIST University, Karnataka, Bengaluru, 560029, India Description An account of the resource Extensive research has been carried out on the development of electrode materials for energy storage applications, especially in the field of supercapacitors. The present work is the first report on the effect of rGO concentration on the electrochemical properties of reduced graphene oxide-cobalt oxide (rGO-Co3O4) nanocomposites. A symmetric supercapacitor device is assembled by compounding two hydrothermally grown rGO-Co3O4 nanocomposite electrodes separated by a membrane dipped in a 3 M KOH aqueous electrolyte solution. The device delivered a specific capacitance of 1006 Fg?1, energy density of 357.44 W h kg?1, and a power density of 1600 W kg?1 at a current density of 2 Ag?1. It showed a cyclic stability of 80 % during 10,000 cycles at a very high current density of 5 Ag?1 and a coulombic efficiency of 100 %, which maintained a better electrochemical performance, implying that the as-synthesized electrodes are useful for portable energy storage devices. 2025 Elsevier Ltd. Subject The topic of the resource Energy density; Nanocomposites; Reduced graphene oxide-Cobalt oxide; Symmetric Supercapacitors Publisher An entity responsible for making the resource available Elsevier Ltd Relation A related resource ISSN: 162361; CODEN: FUELA Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online 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 Articles Article Faculty Publications -Articles 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 Aquila Optimizer Based Optimal Allocation of Soft Open Points for Multi-Objective Operation in Electric Vehicles Integrated Active Distribution Networks Subject The topic of the resource Active distribution networks; Aquila optimizer; Electric vehicles; Loss reduction; Renewable energy; Soft open points; Voltage profile improvement Description An account of the resource The appropriate position and sizing of soft open points (SOPs) for reducing the detrimental impact of electric vehicle (EV) load penetration and renewable energy (RE) variation on active distribution networks (ADNs) are provided in this study. Soft open points (SOPs) have been used to create a multi-objective framework that considers loss minimization and voltage profile enhancement. The non-linear multi-variable complicated SOP allocation problem is solved for the first time using a modern meta-heuristic Aquila optimizer (AO). The modified IEEE 33-bus benchmark and IEEE 69-bus ADNs are used in the simulations. Before SOPs, the average real power loss in IEEE 33-bus AND was 370.329 kW, but after SOPs, it was reduced to 259.356 kW (i.e., 29.96 percent reduction). Similarly, effective SOPs integration in the IEEE 69-bus resulted in a loss reduction of 81.07 percent. AO's computational efficiency is also compared to that of multiobjective particle swarm optimization (MOPSO), particle swarm optimization (PSO), and cuckoo search algorithm (CSA). The AO has produced better results in terms of lower losses, improved voltage profile despite variations in EV load penetration, and RE and load volatility in ADNs, according to the results 2022. International Journal of Intelligent Engineering and Systems.All Rights Reserved Creator An entity primarily responsible for making the resource Kumari C.H.N.; Inkollu S.R.; Patil R.; Janamala V. Source A related resource from which the described resource is derived International Journal of Intelligent Engineering and Systems, Vol-15, No. 4, pp. 269-278. Publisher An entity responsible for making the resource available Intelligent Network and Systems Society Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22266/ijies2022.0831.25" target="_blank" rel="noreferrer noopener">https://doi.org/10.22266/ijies2022.0831.25</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133025865&doi=10.22266%2Fijies2022.0831.25&partnerID=40&md5=ae06e868be14b05c18ad32f3be2084c7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133025865&doi=10.22266%2fijies2022.0831.25&partnerID=40&md5=ae06e868be14b05c18ad32f3be2084c7</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 2185310X 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumari C.H.N., Guru Nanak Institute of Technology, Telangana, Ibrahimpatnam, 501506, India; Inkollu S.R., Dhanekula Institute of Engineering & Technology, Andhra Pradesh, Vijayawada, 521139, India; Patil R., SVERIS College of Engineering, Maharashtra, Pamdharpur,Solarpur, 413304, India; Janamala V., 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 AR and Online Purchase Intention Towards Eye Glasses Subject The topic of the resource Augmented reality; e-commerce; eyeglasses; online purchase intention Description An account of the resource Augmented reality (AR) can be a potent tool for Indian online eyewear marketers by bridging the gap between online and offline purchasing experiences and meeting the needs of social validation and sensory engagement, which are preferences of Indian consumers. The present research explores how augmented reality (AR) technology affects Indian consumers' intentions to buy glasses online. A combination of descriptive and exploratory research design was used on the sample size of 236 consumers. Data was analyzed using frequency table and Structured Equation modelling (SEM) to identify the relationship amongst the variables. The findings indicate that accessibility to product information, telepresence, and perceived ease of use are important variables impacting purchase intention. AR can bridge the gap between online and offline experiences, meet consumer preferences, and create trust and confidence. Future research should explore AR's effectiveness and personalization possibilities for Indian online eyewear retailers. Future research should explore AR's effectiveness and personalization possibilities for Indian online eyewear retailers. 2024 IEEE. Creator An entity primarily responsible for making the resource Prasad A.S.; Sinha D.; Goyal S.; Mathur S. Source A related resource from which the described resource is derived 2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 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/ICRITO61523.2024.10522440" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRITO61523.2024.10522440</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193819276&doi=10.1109%2FICRITO61523.2024.10522440&partnerID=40&md5=3e11a379a3b66ccc1a85ff84b73c0746" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193819276&doi=10.1109%2fICRITO61523.2024.10522440&partnerID=40&md5=3e11a379a3b66ccc1a85ff84b73c0746</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835035035-7 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 Prasad A.S., School of Business and Management, Christ (Deemed to Be University), Bangalore, India; Sinha D., School of Business and Management, Christ (Deemed to Be University), Bangalore, India; Goyal S., School of Business and Management, Christ (Deemed to Be University), Bangalore, India; Mathur S., School of Business and Management, Christ (Deemed to Be 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 Articles Article Faculty Publications -Articles 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 Ar-HGSO: Autoregressive-Henry Gas Sailfish Optimization enabled deep learning model for diabetic retinopathy detection and severity level classification Subject The topic of the resource Deep Convolutional Neural Network; Diabetic retinopathy; Entropy Weighted and kernalized Power k-Means Clustering; Henry Gas Solubility Optimization model; Shepard Convolutional Neural network Description An account of the resource Diabetic Retinopathy (DR) is one the most important problems of diabetics and it directs to the main cause of blindness. When proper treatment is afforded for DR patients, almost 90% of patients are protected from visual damage. DR does not produce any symptoms at the initial phase of the disease, thus various physical assessments, namely pupil dilation, visual acuity test, and so on are needed for DR disease detection. It is more complex to detect the DR during manual testing, because of the variations and complications of DR. The early detection and appropriate treatment assist to prevent vision loss for DR patients. Thus, it is very indispensable to categorize the levels and severity of DR for recommendation of essential treatment. In this paper, Autoregressive-Henry Gas Sailfish Optimization (Ar-HGSO)-based deep learning technique is proposed for DR detection and severity level classification of DR and Macular Edema (ME) based on color fundus images. The segmentation process is more essential for proper detection and classification process, which segments the image into various subgroups. The Deep Learning approach is utilized for effective identification of DR and severity classification of DR and ME. Moreover, the deep learning technique is trained by the designed Ar-HGSO scheme for obtaining better performance. The performance of the devised technique is evaluated using the IDRID dataset and DDR dataset. The introduced Ar-HGSO-based deep learning approach obtained better performance than other existing DR detection and classification techniques with regards to testing accuracy, sensitivity, and specificity of 0.9142, 0.9254, and 0.9142 using the IDRID dataset. 2022 Elsevier Ltd Creator An entity primarily responsible for making the resource Elwin J.G.R.; Mandala J.; Maram B.; Kumar R.R. Source A related resource from which the described resource is derived Biomedical Signal Processing and Control, Vol-77 Publisher An entity responsible for making the resource available Elsevier Ltd Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.bspc.2022.103712" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.bspc.2022.103712</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130616233&doi=10.1016%2Fj.bspc.2022.103712&partnerID=40&md5=e21a62bf8dd88d76f44b1c203bc8a056" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130616233&doi=10.1016%2fj.bspc.2022.103712&partnerID=40&md5=e21a62bf8dd88d76f44b1c203bc8a056</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17468094 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Elwin J.G.R., Associate Professor, Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore, India; Mandala J., Department of Computer Science and Engineering, Christ University, Bangalore, India; Maram B., Associate Professor, Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Himachal Pradesh, India; Kumar R.R., Professor, Department of Information Technology, Sri Krishna College Technology, Coimbatore, 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 Arabica Coffee Bean Grading into Specialty and Commodity Type Based on Quality Using Visual Inspection Subject The topic of the resource K nearest neighbors; Object localization; Primary and secondary defects; Specialty coffee; Transfer learning Description An account of the resource Expanding potential of coffee consumers to seek out the freshest and best flavors is a cause for the rise of specialty coffee inthe market. Specialty coffee is grown and harvestedmaintaining an emphasis on quality and clarity of flavor, whereas commodity coffee is harvested for caffeine content. Within those inclusive categories, arabica and robusta are the two types of main branches of coffee that weencounter in the coffee market. Specialty coffees differ significantly from conventional coffees in that they are cultivated at higher altitudes, can be traced, and are professionally processed after being harvested. The quality is constantly examined and understood at every stage, from growth to brewing. Green arabica quality is assessed by counting the defective beans present in the sample. These defects can be primary (Category I) or secondary (Category II). If the primary defects are null and less than five secondary defects, coffee is said to be a specialty.Prior research has been done on classifying the coffee species and differentiating good beans from bad beans. Our research involves the combination of machine learning like K-NN and deep learning convolutional neural networks for classifying specialty coffee from commodity type using computer vision. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Pragathi S.P.; Jacob L. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-1096, pp. 13-20. 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/10.1007/978-981-99-7137-4_2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-7137-4_2</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185707056&doi=10.1007%2F978-981-99-7137-4_2&partnerID=40&md5=260a3bc9e17abc842cbe879e3a48a23e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185707056&doi=10.1007%2f978-981-99-7137-4_2&partnerID=40&md5=260a3bc9e17abc842cbe879e3a48a23e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100; ISBN: 978-981997136-7 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 Pragathi S.P., Department of Data Science, Christ University, Bangalore, India; Jacob L., Department of Data Science, 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 ArcGAN: Generative Adversarial Networks for 3D Architectural Image Generation Subject The topic of the resource Albedo; BiGAN; Conditional image generation; FineGAN; GAN inversion; Generative adversarial networks; MixNMatch; StyleGAN; Unsupervised 3D shape reconstruction Description An account of the resource Due to advancements in infrastructural modulations, architectural design is one of the most peculiar and tedious processes. As the technology evolves to the next phase, using some latest techniques like generative adversarial networks, creating a hybrid architectural design from old and new models is possible with maximum accuracy. Training the model with appropriate samples makes it evident that the designing phase will be simple for even a layman by including proper parameters such as material description, structural engineering, etc. This research paper suggests a hybrid model for an architectural design using generative adversarial networks. For example, merging Romes architectural style with Italys will accurately and precisely recover the pixel-level structure of 3D forms without needing a 2D viewpoint or 3D annotations from a real 2D-generated image. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Ranpara D.; Raghul V.; Devan A.M.; Shukla S. Source A related resource from which the described resource is derived Lecture Notes in Electrical Engineering, Vol-1189 LNEE, pp. 75-85. 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/10.1007/978-981-97-2451-2_7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-2451-2_7</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204404824&doi=10.1007%2F978-981-97-2451-2_7&partnerID=40&md5=577496a7dd89c2a6ba12c04e428ba4ed" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204404824&doi=10.1007%2f978-981-97-2451-2_7&partnerID=40&md5=577496a7dd89c2a6ba12c04e428ba4ed</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18761100; ISBN: 978-981972450-5 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 Ranpara D., Christ (Deemed to Be University), Karnataka, Bangalore, India; Raghul V., Christ (Deemed to Be University), Karnataka, Bangalore, India; Devan A.M., Christ (Deemed to Be University), Karnataka, Bangalore, India; Shukla S., Christ (Deemed to Be University), Karnataka, 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 Articles Article Faculty Publications -Articles 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 Architecture of FTO/n-CdS/p-SnSe1-xOx/Au Heterojunction Thin Film Diodes by Thermal Evaporation Subject The topic of the resource currentvoltage characteristics; diode; Oxygen-doped SnSe thin film; thermal evaporation Description An account of the resource In this report, FTO/n-CdS/p-SnSe1-xOx/Au heterojunction diodes were fabricated using a homemade precursor followed by dry milling with a facile thermal evaporation method under oxygen atmosphere (10? 2mbar) for the first time. The chemical purity (45.35:45.07:9.58 at.%) and microstructure of the deposited films and device were characterized by energy dispersive x-ray analysis, x-ray photoelectron spectroscopy, and scanning electron microscopy. The crystallographic parameters, a = 11.512 b = 4.163and c = 4.452 with orthorhombic crystal structure and monophase nature were analyzed by powder x-ray diffraction. Raman spectroscopy revealed the vibrational modes, and UVVis-NIR spectroscopy was used to study the direct nature of optical absorption with a band gap of 1.14eV. The currentvoltage (I-V) characteristics of the semiconductor diode were measured in room temperature (25C) and revealed rectifying properties and the cut-off voltage for the device, 0.57V. The obtained results highlight that the use of a p-SnSe1-xOx (SSO) layer as an interface between n-CdS/Au diodes exhibits excellent rectifying behavior and enhanced diode performance. Therefore, the p-SSO layer is a suitable material for heterojuction diodes and optoelectronic switches. Graphical Abstract: [Figure not available: see fulltext.]. 2022, The Minerals, Metals & Materials Society. Creator An entity primarily responsible for making the resource John B.; Vardhurajaperumal S. Source A related resource from which the described resource is derived Journal of Electronic Materials, Vol-51, No. 12, pp. 6827-6834. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11664-022-09904-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11664-022-09904-0</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139246768&doi=10.1007%2Fs11664-022-09904-0&partnerID=40&md5=b4b9e6bae866a34b40874b4039b5f137" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85139246768&doi=10.1007%2fs11664-022-09904-0&partnerID=40&md5=b4b9e6bae866a34b40874b4039b5f137</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 3615235; CODEN: JECMA 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant John B., Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Vardhurajaperumal S., Center for Nanoscience and Engineering (CeNSE), Indian Institute of 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 Articles Article Faculty Publications -Articles 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 Architecture of monophase InSe thin film structures for solar cell applications Subject The topic of the resource Annealing; Electrical properties; Optical properties; Substrate temperature; Surface properties; Thin films Description An account of the resource Control of microstructural evolution during the crystallization of InSe thin films is an inevitable strategy to mold their fundamental properties and potential for the fabrication of solar cells. Impact of annealing as well as substrate temperature on the crystallization progress and physical characteristics of thermally evaporated InSe was examined systematically, which eventually dictates the overall performance of resulting device. Structural and compositional characterizations have been thoroughly investigated by X-ray diffraction and energy dispersive X-ray analyses. InSe films form hexagonal structure with a preferred orientation of crystallites along the (004) direction upon crystallization. The layer of InSe is formed by two concomitant processes, deposition and recrystallization. Application of heat treatment resulted in topographical modification, which was probed by an atomic force microscope. Surface roughness was enhanced due to the influence of temperature and thereby the growth of grains. Investigations of electrical and optical properties, thus provided ample evidence for the use of crystallized monophase InSe as an absorber layer in photovoltaic conversion devices. Carrier concentration and mobility of charge carriers estimated from the Hall measurements were found to be 19.43020cm?3 and 2.01cm2V?1s?1 respectively. Moreover, this research work explores power conversion efficiency of p-InSe/n-CdS heterojunction solar cells. 2017 Elsevier B.V. Creator An entity primarily responsible for making the resource Teena M.; Kunjomana A.G.; Ramesh K.; Venkatesh R.; Naresh N. Source A related resource from which the described resource is derived Solar Energy Materials and Solar Cells, Vol-166, pp. 190-196. Publisher An entity responsible for making the resource available Elsevier B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.solmat.2017.03.027" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.solmat.2017.03.027</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016278894&doi=10.1016%2Fj.solmat.2017.03.027&partnerID=40&md5=6aa156bb171d9806f684f2e01235a20c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85016278894&doi=10.1016%2fj.solmat.2017.03.027&partnerID=40&md5=6aa156bb171d9806f684f2e01235a20c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9270248; CODEN: SEMCE 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Teena M., Department of Physics, Christ University, Bengaluru, 560029, India, Research and Development Centre, Bharathiar University, Coimbatore, 641046, India; Kunjomana A.G., Department of Physics, Christ University, Bengaluru, 560029, India; Ramesh K., Department of Physics, Indian Institute of Science, Bengaluru, 560012, India; Venkatesh R., Department of Physics, Indian Institute of Science, Bengaluru, 560012, India; Naresh N., Department of Physics, Indian Institute of Science, Bengaluru, 560012, 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 Articles Article Faculty Publications -Articles 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 Architecture of visible-light induced Z-scheme MoS2/g-C3N4/ZnO ternary photocatalysts for malachite green dye degradation Subject The topic of the resource Dye degradation; Exfoliation; Molybdenum disulfide; Nanocomposite; Photocatalysis; Water pollution Description An account of the resource The synthesis of bilayer heterojunctions has received considerable attention recently. Fabrication of novel bilayer composites is of significant interest to improve their photocatalytic efficiency. In this study, molybdenum disulfide (MoS2), a layered dichalcogenide material exhibiting unique properties, in combination with graphitic carbon nitride (g-C3N4), a carbon-based layered material, was fabricated with small amounts of zinc oxide (ZnO). Three composites, MoS2/g-C3N4, MoS2/ZnO, and MoS2/g-C3N4/ZnO were prepared via a simple exfoliation method and characterized by various physicochemical methods. The Z-scheme charge transfer mechanism in the prepared ternary composite improves efficiency by inhibiting the recombination rate of electron-hole pairs. It has shown excellent performance in degrading a major water contaminant, malachite green (MG) dye, under visible light irradiation. 2022 Elsevier Inc. Creator An entity primarily responsible for making the resource R M.; Jaleel UC J.R.; Pinheiro D.; NK R.; Devi KR S.; Park J.; Manickam S.; Choi M.Y. Source A related resource from which the described resource is derived Environmental Research, Vol-214 Publisher An entity responsible for making the resource available Academic Press Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.envres.2022.113742" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.envres.2022.113742</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132955644&doi=10.1016%2Fj.envres.2022.113742&partnerID=40&md5=dbcde39e9f12c5f0a92d3e645c8e2d40" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85132955644&doi=10.1016%2fj.envres.2022.113742&partnerID=40&md5=dbcde39e9f12c5f0a92d3e645c8e2d40</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 139351; PubMed ID: 35753376; CODEN: ENVRA 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant R M., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Jaleel UC J.R., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Pinheiro D., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; NK R., Department of Chemistry, University of Calicut, Kerala, 673635, India; Devi KR S., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Park J., Core-Facility Center for Photochemistry & Nanomaterials, Department of Chemistry, Research Institute of Natural Sciences, Gyeongsang National University, Jinju, 52828, South Korea; Manickam S., Petroleum and Chemical Engineering, Faculty of Engineering, Universiti Teknologi Brunei, Jalan Tungku Link Gadong, Bandar Seri Begawan, BE1410, Brunei Darussalam; Choi M.Y., Core-Facility Center for Photochemistry & Nanomaterials, Department of Chemistry, Research Institute of Natural Sciences, Gyeongsang National University, Jinju, 52828, South Korea 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 Articles Article Faculty Publications -Articles 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 Arduino based IOT platform for remote monitoring of heart attacks and patients falls Subject The topic of the resource Arduino; GSM; Healthcare; IoT; Sensors; Thingspeak Description An account of the resource Internet of things (IoT) is a networking concept that allows connection of various smart devices. This concept plays a huge role in the healthcare industry. The developed system is a working prototype for realtime monitoring of patient falls and heart attacks. The process of developing this system included an architecture, which was built using Arduino UNO and Arduino NANO along with pulse sensors and accelerometer sensors. The main idea is to collect health-related data from time to time and the collected data is made available using a real-time interface called Thingspeak. With the help of this process, the person can be monitored from time to time without any hassle. The proposed system also makes use of delivering notifications at the time of emergency using the GSM technology, which is embedded with the Arduino architecture. This system will be of greater help to elderly people, people suffering from Frankenstein disease or people who are in a history of getting heart attacks due to genetic disorders. 2018 Manikandan Shanmugam and Monisha Singh. Creator An entity primarily responsible for making the resource Shanmugam M.; Singh M. Source A related resource from which the described resource is derived Journal of Computer Science, Vol-14, No. 4, pp. 574-584. Publisher An entity responsible for making the resource available Science Publications Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3844/jcssp.2018.574.584" target="_blank" rel="noreferrer noopener">https://doi.org/10.3844/jcssp.2018.574.584</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047010419&doi=10.3844%2Fjcssp.2018.574.584&partnerID=40&md5=bb5bd324f10dc4d3fb0bc62164c2ef4c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047010419&doi=10.3844%2fjcssp.2018.574.584&partnerID=40&md5=bb5bd324f10dc4d3fb0bc62164c2ef4c</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 15493636 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 Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shanmugam M., Department of Computer Science, Christ University, Bangalore, India; Singh M., Department of Computer Science, 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 Faculty Publications Book Chapter Faculty Publications- Book Chapter 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/. Creator An entity primarily responsible for making the resource Babu, Sruthy K. Title A name given to the resource Are Employees Satisfied and Positive Towards Life?: From the Perspective of Subjective Wellbeing Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Insights on Wellbeing and Happiness in the Workplace;pp.45-56 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/9798369329399_3" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/9798369329399_3</a> <a href="https://www.scopus.com/pages/publications/105007372589?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105007372589?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Babu S.K., Christ University, India Description An account of the resource Most of the organizations are mainly focusing on both the physical and mental wellbeing of the employees. There is not much research happening in the concept of subjective well- being. The chapter mainly focuses on the conceptual definition of the term. Also, examines the effective and cognitive aspects of subjective well- being. It also focuses on the factors where the factors focus on personal and organizational factors and outcomes that are related to the concept of subjective wellbeing. This chapter also gives some insights into managers on the importance of the subjective wellbeing as a concept in the organization and how it fosters the over wellbeing of the individual as well as organization. 2025 by IGI Global Scientific Publishing. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836932940-5; 979-836932939-9; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library