490 20 11858 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 Studies on design and simulation of di-methyl ether plant of 160 TPD capacity Subject The topic of the resource Aspen EDR; Aspen Plus simulation; balance; Dimethyl Ether; Methanol Dehydration Process; Methanol separation tower Description An account of the resource Energy is needed to run almost everything we see around us, from cars to the electricity power generation plants and everything else. Fossil fuels produce harmful products on combustion. One such eco-friendly alternative is Di-Methyl Ether also known as DME. In this study, a DME plant of capacity 160 tons per day was designed. Methanol dehydration process has been adapted as the process of production. The purity of DME from this plant is 99.5% by weight. Distillation column T-202 and heat exchanger E-208 were designed in detail. The detail design results showed that T-202 needed 6 stages for separation and a column diameter of 1.28m, while the simulation results showed 7 stages and column diameter as 1.285m for the same separation process. Furthermore, E-208 is of type 1-2 shell & tube heat exchanger with 307 tubes and tube length of 5.5m, however the Aspen EDR simulation results were also in close agreement with 304 tubes and 5m length for the same heat exchanger. This paper presents the results of simulation results of the simulation of these equipment's and full plant done using Aspen plus V8.8 software and Aspen EDR. 2023 Author(s). Creator An entity primarily responsible for making the resource Saravanan A.M.; Jesil A.; Mohiuddin M.G.; Patil G.; Achuthan M.; Prakasha G.S. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-2690 Publisher An entity responsible for making the resource available American Institute of Physics Inc. 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/10.1063/5.0120663" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0120663</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152662602&doi=10.1063%2F5.0120663&partnerID=40&md5=4a94cde892f4d9318a74168b23439f07" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152662602&doi=10.1063%2f5.0120663&partnerID=40&md5=4a94cde892f4d9318a74168b23439f07</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 0094243X; ISBN: 978-073544334-1 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 Saravanan A.M., Department of Mechanical and Industrial Engineering, College of Engineering, National University of Science and Technology, Muscat, Oman; Jesil A., Department of Mechanical and Industrial Engineering, College of Engineering, National University of Science and Technology, Muscat, Oman; Mohiuddin M.G., Department of Mechanical and Industrial Engineering, College of Engineering, National University of Science and Technology, Muscat, Oman; Patil G., Department of Mechanical and Industrial Engineering, College of Engineering, National University of Science and Technology, Muscat, Oman; Achuthan M., Department of Mechanical and Industrial Engineering, College of Engineering, National University of Science and Technology, Muscat, Oman; Prakasha G.S., Christ 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 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 Algorithm trading and its application in stock broking services Description An account of the resource Purpose: Algorithmic trading provides a more systematic approach to active trading than methods based on trader intuition or instinct. The aim of the study is to examine the level of awareness among the brokers when integrated with technology for the purpose of executing the trades. Design/Methodology: A self-administered and structured 350 questionnaires were designed and circulated to collect the preliminary information from the stock brokers operating in NSE and BSE within the geographical limits of Bangalore district using the Systematic Sampling method to obtain a sample size of 235. Awareness, Automated trading, Elimination of human error, portfolio management, tracking order, order placement were the critical variables observed to validate the hypothesis using Simple Percentage Analysis & Chi-Square Analysis using Statistical Analysis Software (SAS). Findings: It was found that there is robust association between the level of awareness of the mentioned technology in its application by the stock brokers of NSE and BSE operating in Bangalore. Portfolio management and automated trading are the highly associated application of Algorithmic trading among the stock brokerage services. Originality: Algorithmic trading makes use of complex formulas, combined with mathematical models and human oversight, to make decisions to buy or sell financial securities on an exchange. It can be used in a wide variety of situations including order execution, arbitrage, and trend trading strategies. Algorithmic traders often make use of high-frequency trading technology, which can enable a firm to make tens of thousands of trades per second. The Authors, published by EDP Sciences. Creator An entity primarily responsible for making the resource Vedapradha R.; Hariharan R.; Winster Praveenraj D.D.; Sudha E.; Pandey M.; Ambrose S. Source A related resource from which the described resource is derived E3S Web of Conferences, Vol-376 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1051/e3sconf/202337605002" target="_blank" rel="noreferrer noopener">https://doi.org/10.1051/e3sconf/202337605002</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152891860&doi=10.1051%2Fe3sconf%2F202337605002&partnerID=40&md5=5a8fdc2a7e7d296e8ee24a1f82d4d629" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152891860&doi=10.1051%2fe3sconf%2f202337605002&partnerID=40&md5=5a8fdc2a7e7d296e8ee24a1f82d4d629</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green 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 Vedapradha R., Department of Commerce, Mount Carmel College, Vasanth Nagar, Bangalore, 560052, India; Hariharan R., Department of Commerce, Mount Carmel College, Vasanth Nagar, Bangalore, 560052, India, School of Business & Management, CHRIST (Deemed to Be University), Yeshwanthpur Campus, Bangalore, 560073, India; Winster Praveenraj D.D., School of Business & Management, CHRIST (Deemed to Be University), Yeshwanthpur Campus, Bangalore, 560073, India; Sudha E., School of Commerce, CHRIST (Deemed to Be University), Yeshwanthpur Campus, Bangalore, 560073, India; Pandey M., School of Business & Management, CHRIST (Deemed to Be University), Yeshwanthpur Campus, Bangalore, 560073, India; Ambrose S., School of Commerce, CHRIST (Deemed to Be University), Yeshwanthpur Campus, 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 Experimental scrutinization on production of biogas from vegetable and animal waste Subject The topic of the resource and waste; Biogas; CAD; CHD; energy source; pH; VW Description An account of the resource Anaerobic fermentation is a highly promising technology for converting biomass waste into methane, which may directly be used as an energy source. The objective of this research was to investigate production rate of biogas from camel dung, chicken dropping and vegetable waste. Attempts have been made in this study to optimize various parameters in order to determine the most favorable conditions for maximum biogas production from three different types of wastes such as camel dung (CAD), chicken droppings (CHD) and vegetable waste (VW). The amount of biogas produced from the wastes is compared as: VW >CHD>CAD. The results showed that biogas produced from VW is 720 ml in 32 days as compared to CHD and CAD which are 600 ml in 36 days and 80 ml in 40 days respectively. The effect of the pH and temperature on the amount of biogas produced was also studied. The experiments were conducted in temperatures ranging from 36 C to 44 C. 2023 Author(s). Creator An entity primarily responsible for making the resource Saravanan A.M.; Al Mamari G.; Patil G.; Achuthan M.; Dhanalakshmi V.; Prakasha G.S. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-2690 Publisher An entity responsible for making the resource available American Institute of Physics Inc. 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/10.1063/5.0120661" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0120661</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152646951&doi=10.1063%2F5.0120661&partnerID=40&md5=43870d4287d2e51d1f5a3ed552c5c32d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152646951&doi=10.1063%2f5.0120661&partnerID=40&md5=43870d4287d2e51d1f5a3ed552c5c32d</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 0094243X; ISBN: 978-073544334-1 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 Saravanan A.M., Department of Mechanical and Industrial Engineering, College of Engineering, National University of Science and Technology, Muscat, Oman; Al Mamari G., Department of Mechanical and Industrial Engineering, College of Engineering, National University of Science and Technology, Muscat, Oman; Patil G., Department of Mechanical and Industrial Engineering, College of Engineering, National University of Science and Technology, Muscat, Oman; Achuthan M., Department of Mechanical and Industrial Engineering, College of Engineering, National University of Science and Technology, Muscat, Oman; Dhanalakshmi V., Middle East College, Muscat, Oman; Prakasha G.S., Christ 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 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 Manta Ray Foraging Optimizer with Deep Learning based Malicious Activity Detection for Privacy Protection in Social Networks Subject The topic of the resource Machine Learning; Malicious activity detection; Manta Ray Foraging Optimization; Social Network; Twitter Description An account of the resource Malicious activity detection is a vital component of ensuring privacy protection in social media networks. As users engage in online interactions, protecting their sensitive information becomes paramount. Social networks can proactively identify and mitigate malicious behaviors, such as cyberbullying, data breaches, and phishing attacks by applying advanced AI and machine learning (ML) technologies. This detection system analyzes user behavior patterns, content, and network traffic to flag suspicious activities, thus safeguarding user privacy and fostering a safer online environment. The incorporation of robust malicious activity detection mechanisms helps maintain trust in social networks and reinforces the commitment to preserving user privacy in an increasingly interconnected digital landscape. This article introduces a novel Manta Ray Foraging Optimizer with Deep Learning based Malicious Activity Detection (MRFODLMAD) technique for privacy protection in social networks. The drive of the MRFODL-MAD technique is to detect and classify malicious activities in the social network. To accomplish this, the MRFODL-MAD technique preprocesses the input data. For malicious activity detection, the MRFODL-MAD technique employs long short term memory (LSTM) system. The MRFO algorithm has been executed to hyperparameter tuning process to improve the performance of the LSTM network. The experimental outcomes of the MRFODL-MAD algorithm can be tested on social networking database and the results inferred the improved performance of the MRFODL-MAD algorithm under various different measures. 2023 IEEE. Creator An entity primarily responsible for making the resource Unni M.V.; Jeevananda S.; Jacob Joseph K.; Fatma S. Source A related resource from which the described resource is derived Proceedings of 2023 IEEE Technology and Engineering Management Conference - Asia Pacific, TEMSCON-ASPAC 2023 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/TEMSCON-ASPAC59527.2023.10531362" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TEMSCON-ASPAC59527.2023.10531362</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195139253&doi=10.1109%2FTEMSCON-ASPAC59527.2023.10531362&partnerID=40&md5=3982fe4f5df7b38208d340caf692abcb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195139253&doi=10.1109%2fTEMSCON-ASPAC59527.2023.10531362&partnerID=40&md5=3982fe4f5df7b38208d340caf692abcb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038465-9 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 Unni M.V., Christ (Deemed to Be University), School of Business and Management, Karnataka, Bengaluru, India; Jeevananda S., Christ (Deemed to Be University), School of Business and Management, Karnataka, Bengaluru, India; Jacob Joseph K., Christ (Deemed to Be University), School of Business and Management, Karnataka, Bengaluru, India; Fatma S., Christ (Deemed to Be University), School of Business and Management, Karnataka, 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 Sustainable driven Predictive Approaches to Address Climatic Crisis: Issues and Challenges Subject The topic of the resource analysis; Artificial neural network; Climatic crisis; Lasso; Random Forest; Support Vector Machine; variance Description An account of the resource The issue of climate crisis is currently one of the critical challenges humanity faces in the present era and it holds significant implications, for the future of our planet. To gain an understanding and mitigate the impacts of climate change several methods have been developed to model and forecast future climate trends. This paper critically analyzes sustainable techniques utilized in studying the climate crisis, such as statistical models, machine learning algorithms and climate simulations. The strengths and limitations of each method is analyzed while also considering the factors that can affect their accuracy and reliability. By consolidating existing research on this subject our aim is to provide insights into the effective sustainable approaches for predicting our climates future trajectory while offering suggestions for further research, in this crucial field. 2023 IEEE. Creator An entity primarily responsible for making the resource Sahu K.; Bhardwaj I.; Sharma V.; Mishra S.; Habelalmateen M.I. Source A related resource from which the described resource is derived International Conference for Technological Engineering and its Applications in Sustainable Development, ICTEASD 2023, pp. 362-368. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICTEASD57136.2023.10584934" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTEASD57136.2023.10584934</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199574110&doi=10.1109%2FICTEASD57136.2023.10584934&partnerID=40&md5=91bb408c7e18fed472d0c265b27b8e58" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199574110&doi=10.1109%2fICTEASD57136.2023.10584934&partnerID=40&md5=91bb408c7e18fed472d0c265b27b8e58</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033647-4 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 Sahu K., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Bhardwaj I., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Sharma V., CHRIST (Deemed to Be University), Delhi NCR, India; Mishra S., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Habelalmateen M.I., The Islamic University, College of Technical Engineering, 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 Three-component p-TSA catalyzed synthesis of hydrazinyl thiazole derivatives Subject The topic of the resource Hyrazinyl thiazole; Multicomponent; p-TSA; Single-Pot; Three-component Description An account of the resource A direct single-pot three-component procedure for synthesizing bio-active hydrazinyl thiazole derivatives has been demonstrated. The reaction involves substituted 2-Bromoacetophenones, carboxaldehydes, and thiosemicarbazide to form the hydrazinyl thiazole scaffolds via a simple condensation reaction followed by intramolecular cyclization with p-TSA as a catalyst at room temperature. The ease of product separation, lack of column chromatographic purification, and use of readily available starting materials result in an efficient approach for organic synthesis. 2023 Elsevier Ltd. All rights reserved. Creator An entity primarily responsible for making the resource Kumar S.L.; Chundattu S.J.; Govindaraju S.; Tabassum S. Source A related resource from which the described resource is derived Materials Today: Proceedings, Vol-100, pp. 182-187. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.matpr.2023.06.101" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.matpr.2023.06.101</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214212640&doi=10.1016%2Fj.matpr.2023.06.101&partnerID=40&md5=74e522d6e5de81f90c6ae4cdefc1852f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214212640&doi=10.1016%2fj.matpr.2023.06.101&partnerID=40&md5=74e522d6e5de81f90c6ae4cdefc1852f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22147853 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 S.L., Department of Chemistry, CHRIST, Deemed to be University, Bengaluru, 570029, India; Chundattu S.J., Department of Sciences and Humanities, CHRIST, Deemed to be University, Bengaluru, 570029, India; Govindaraju S., Department of Sciences and Humanities, CHRIST, Deemed to be University, Bengaluru, 570029, India; Tabassum S., Department of Chemistry, Surana College, South End Road, Basavanagudi, Bengaluru, 560004, 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 Consolidation of Cloud Computing in Smart and Sustainable Environment Subject The topic of the resource Cloud Applications; Cloud Architecture; Cloud storage; Information processing; Sensory model; Sustainable computing Description An account of the resource Cloud computing has revolutionized IoT device data collection, administration, and analysis by offering a scalable and sustainable solution for managing vast amounts of data. The paper highlights cloud computing's benefits in data processing, device management, cost efficiency and scalability. However, challenges related to security, data ownership, and vendor lock-in require attention. A novel sustainable cloud-IoT model is presented by integrating smart computing with cloud infrastructure. It is observed that the model records promising performance. The mean response delay is 1.9 seconds and the 89.5% is the generated mean computational storage accuracy rate. In conclusion, the cloud computing empowered sustainable model can be used in organizations to gain insights from IoT data and make informed decisions, shaping future research in this rapidly evolving field. 2023 IEEE. Creator An entity primarily responsible for making the resource Sharma A.; Kumari A.; Sharma V.; Al-Farouni M.; Mishra S. Source A related resource from which the described resource is derived International Conference for Technological Engineering and its Applications in Sustainable Development, ICTEASD 2023, pp. 86-91. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICTEASD57136.2023.10585245" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTEASD57136.2023.10585245</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199548771&doi=10.1109%2FICTEASD57136.2023.10585245&partnerID=40&md5=b0eebfcd7489019c319d4cca9befb523" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199548771&doi=10.1109%2fICTEASD57136.2023.10585245&partnerID=40&md5=b0eebfcd7489019c319d4cca9befb523</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033647-4 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 Sharma A., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Kumari A., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Sharma V., CHRIST (Deemed to Be University), Delhi NCR, India; Al-Farouni M., The Islamic University, College of Technical Engineering, Najaf, Iraq; Mishra S., Deemed to Be University, Kalinga Institute of Industrial Technology, 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 Quality and Security Assurance Workload Scheduling in Heterogeneous Cloud Environment Subject The topic of the resource Cloud Computing; Heterogeneous; Inspiral; Montage; Scheduling; Trust Mechanism Description An account of the resource The adoption of cloud computing has transformed how businesses manage their workloads, offering flexibility and efficiency. This study introduces a novel model that leverages trust mechanisms to ensure secure workload execution within heterogeneous cloud environments. The primary objective of this research was to enhance efficiency by reducing both time and energy consumption associated with executing workloads. The proposed model's efficacy was assessed through the examination of Montage and Inspiral workloads. The evaluation encompassed two smaller tasks from both Montage and Inspiral workloads, in addition to one larger task. To gauge performance, a comparative analysis was conducted between the proposed model and established models such as Energy Minimized Scheduling (EMS), Efficient Replanning (ERP), and Evolutionary Computing Workload Scheduling (EC-WSC). The findings reveal that the proposed model outperforms the existing models in terms of mitigating both time and energy expenditure for the considered workloads. 2023 IEEE. Creator An entity primarily responsible for making the resource Pasha F.; Jayapandian N. Source A related resource from which the described resource is derived 3rd International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2023 - Proceedings, pp. 1134-1140. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICIMIA60377.2023.10426221" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIMIA60377.2023.10426221</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191799722&doi=10.1109%2FICIMIA60377.2023.10426221&partnerID=40&md5=1c40973c048288cbc083585edc530975" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191799722&doi=10.1109%2fICIMIA60377.2023.10426221&partnerID=40&md5=1c40973c048288cbc083585edc530975</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034363-2 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 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 Pasha F., CHRIST (Deemed to Be University), School of Engineering and Technology, Department of CSE, Kengeri Campus, India; Jayapandian N., CHRIST (Deemed to Be University), School of Engineering and Technology, Department of CSE, Kengeri 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 Exploration and Analysis of Seizure Spikes Through Spectral Domain Transformation Subject The topic of the resource Correlation analysis; EEG; Epilepsy; Frequency spectrum; Magnitude spectrum; Seizure; Spectral transformation; T-SNE Description An account of the resource Seizure detection is the most crucial area of investigation when it comes to understanding brain disorders. This proposed research study embarked on an automated model for epileptic seizure diagnosis by means of different kinds of Spectral transformation using EEG inputs from seizure sufferers and healthy subjects. This automated model accommodates non-invasive brain electrical activity monitoring. This method aims to facilitate the analysis and identification of epileptic seizure states since, monitoring and diagnosing such brain electrical activity is a complex task due to its numerous divisions and underlying features. The primary objective of this research study is to distinguish between EEG-based seizures and healthy individuals. To achieve this goal, a combination of spectral transformation and EEG analysis techniques is utilized. These techniques include examining the frequency spectrum, magnitude spectrum, correlation, and T-Distributed Stochastic Neighboring Embedding (T-SNE) analysis. This analysis yields valuable insights from EEG data, refining the input data and making it more suitable for prediction and identification. The models performance is evaluated using two distinct datasets: real-time EEG data from individuals experiencing epileptic seizures and EEG data from healthy subjects. These datasets are sourced from the Bangalore EEG Epilepsy Dataset (BEED), India and the BONN epilepsy dataset from the UCI repository. In a comparative study of spectral transformation methods, including Complex Fast Fourier Transform (CFFT) and Real-Valued Fast Fourier Transform (RFFT), it is discovered that reducing the data dimension by using feature extraction is not the optimal approach. This simplification leads to the loss of valuable information. Therefore, preserving the full spectrum of EEG characteristics is crucial for gaining valuable insights into brain neuronal functions, ultimately enabling more accurate seizure prediction. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Najmusseher; Nizar Banu P.K.; Azar A.T.; Kamal N.A.; Alzahrani A. Source A related resource from which the described resource is derived Smart Innovation, Systems and Technologies, Vol-394 SIST, pp. 99-113. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-3980-6_9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-3980-6_9</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208914333&doi=10.1007%2F978-981-97-3980-6_9&partnerID=40&md5=c74d128040a709d05380518b2c84ec50" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208914333&doi=10.1007%2f978-981-97-3980-6_9&partnerID=40&md5=c74d128040a709d05380518b2c84ec50</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21903018; ISBN: 978-981973979-0 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 Najmusseher, Department of Computer Science, CHRIST (Deemed to Be University) Central Campus, Karnataka, Bangalore, India; Nizar Banu P.K., Department of Computer Science, CHRIST (Deemed to Be University) Central Campus, Karnataka, Bangalore, India; Azar A.T., College of Computer and Information Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia, Faculty of Computers and Artificial Intelligence, Benha University, Benha, 13518, Egypt, Automated Systems and Soft Computing Lab (ASSCL), Prince Sultan University, Riyadh, Saudi Arabia; Kamal N.A., Faculty of Engineering, Cairo University, Giza, Egypt; Alzahrani A., Department of Computer Engineering and Science, Faculty of Computer Science and Information Technology, Al-Baha University, Al-Baha, Saudi Arabia 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 Modeling a Logistic Regression based Sustained Approach for Cancer Detection Subject The topic of the resource Binary outcome; Cancer detection; Cancer diagnosis; Logistic regression; Survival analysis; Tumour classification Description An account of the resource This assessment and treatment of cancer may be done using logistic regression. To properly forecast whether a tumour is malignant or benign, the likelihood of binary outcomes may be simulated based on input variables and taken into account for factors like volume, topology and texture. It aids in risk assessment by estimating an individual's likelihood of developing cancer using factors like age-group, relatives past data, life choices and gene based markers. Logistic regression plays an important role in early cancer detection and creating screening tools that identify high-risk individuals through patent characteristics, biomarkers, and medical imaging data. Prediction of the probability of survival based on age, tumor characteristics, treatment options and comorbidities is useful for survival analysis. In a comparative study, logistic regression achieved a high accuracy of 97.4%, along with random forest, in cancer detection and diagnosis. 2023 IEEE. Creator An entity primarily responsible for making the resource Pattanaik A.; Gour P.; Mishra S.; Sharma V.; Alabdeli H. Source A related resource from which the described resource is derived International Conference for Technological Engineering and its Applications in Sustainable Development, ICTEASD 2023, pp. 262-267. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICTEASD57136.2023.10585150" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTEASD57136.2023.10585150</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199558340&doi=10.1109%2FICTEASD57136.2023.10585150&partnerID=40&md5=23b6ffa81d9583339c094ac207820e51" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199558340&doi=10.1109%2fICTEASD57136.2023.10585150&partnerID=40&md5=23b6ffa81d9583339c094ac207820e51</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033647-4 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 Pattanaik A., KIIT Deemed to Be University, School of Computer Engineering, Odisha, Bhubaneswar, 751024, India; Gour P., KIIT Deemed to Be University, School of Computer Engineering, Odisha, Bhubaneswar, 751024, India; Mishra S., KIIT Deemed to Be University, School of Computer Engineering, Odisha, Bhubaneswar, 751024, India; Sharma V., CHRIST (Deemed to Be University), Computer Science Department, Delhi NCR, India; Alabdeli H., The Islamic University, College of Technical Engineering, 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 Sustainable Assessment of Advanced Machine Intelligence in Clinical Safety Subject The topic of the resource Al; Excellence; Machine Learning (ML); Patient Well-being; Security Description An account of the resource There is growing acknowledgment that artificial intelligence (AI) is being used to evaluate complex and vast volumes of data, producing findings without human input, in a variety of healthcare contexts, including image analysis, bioinformatics and genomics. Although this technology can offer opportunities in the diagnostic and therapeutic process, various safety-related difficulties and traps can still exist. To shed light on these opportunities and challenges, this article addresses the use of AI in healthcare and its security consequences. To deliver safer technology through AI, this research explores the cost implications of all potential technological systems, while design safety, failure safety, procedural security, and safety margins are the primary methods for identifying risks & uncertainties. Additionally, the suggestion involves the identification and distribution of explicit instructions and procedures to all relevant parties, aiming to facilitate the creation and implementation of safer Al applications within healthcare settings. 2023 IEEE. Creator An entity primarily responsible for making the resource Asutosh B.; Sahoo B.; Sharma V.; Al-Jawahry H.M. Source A related resource from which the described resource is derived International Conference for Technological Engineering and its Applications in Sustainable Development, ICTEASD 2023, pp. 356-361. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICTEASD57136.2023.10585002" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTEASD57136.2023.10585002</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199501491&doi=10.1109%2FICTEASD57136.2023.10585002&partnerID=40&md5=fce52d6286e06e33272fc45e5607cd0b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199501491&doi=10.1109%2fICTEASD57136.2023.10585002&partnerID=40&md5=fce52d6286e06e33272fc45e5607cd0b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835033647-4 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 Asutosh B., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Sahoo B., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Sharma V., CHRIST (Deemed to Be University), Delhi NCR, India; Al-Jawahry H.M., The Islamic University, College of Technical Engineering, 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 EV Service Stations for Future Smart Cities Subject The topic of the resource batteries; Charging Infrastructure; Electric Vehicles; Training; workforce Description An account of the resource The market for electric vehicles (EVs) has been growing at a fast pace in recent years. It is expected to continue growing at a much faster pace in the coming decades. The emerging EV technology is increasingly gaining a high demand for continued good transport connections in smart cities. Most of the Smart Cities' charging infrastructure and future growth revolve around its public transport network, especially an EV service station. New technologies, therefore, need to be complemented with new and versatile charging options to cater to different types of charging options available for charging Li-ion Batteries with newer materials and charging capacity. Building an EV service station in the ongoing scenario anticipates smart engineering knowledge to complement innovative charging methods. An EV service station needs hardware, software, and test equipment before charging, during charge, and post-charge states. It is expected to inform the user of available options to choose and select from. This paper investigates the challenges and suggests solutions to meet the EV service station support for EV vehicles in present and future smart cities. It also highlights the demand for a skilled workforce to maintain these service stations, including updating their skills. Examples of a few smart cities in developed as well as developing countries have been quoted. These developments will contribute to the transport infrastructure needed for future smart cities. The paper paves the way for future research in this area. The Institution of Engineering & Technology 2023. Creator An entity primarily responsible for making the resource Vishwakarma S.; Chaurasia A.; Tyagi R. Source A related resource from which the described resource is derived IET Conference Proceedings, Vol-2023, No. 44, pp. 463-466. Publisher An entity responsible for making the resource available Institution of Engineering and Technology 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/10.1049/icp.2024.0968" target="_blank" rel="noreferrer noopener">https://doi.org/10.1049/icp.2024.0968</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194252113&doi=10.1049%2Ficp.2024.0968&partnerID=40&md5=85c876b67c387c81ffe4df36d4a3bcdd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194252113&doi=10.1049%2ficp.2024.0968&partnerID=40&md5=85c876b67c387c81ffe4df36d4a3bcdd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 27324494 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 Vishwakarma S., BC Hydro, Vancouver, Canada; Chaurasia A., School of Commerce Finance Accountancy, Christ University, Ghaziabad, India; Tyagi R., Asian Institute of Technology, Thailand 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 NLP-based Health Care- Hospital Recommendation Systems with Online Text Reviews by Patients Satisfaction Subject The topic of the resource Data Analysis; Natural language Processing; Patient review; polarity; Recommendation; Sentiment Analysis Description An account of the resource Recent times, these recommendations based on reviews play a vital role in the service industry. The hospital is assessing its quality of service using these surveys or studies posted in online forums. The ongoing pandemic also played a vital role in making the online review more popular. These statistical data and visualization are informative in representing the views of patient satisfaction towards health service. As the size of data is large and it is of varied size and format it is difficult to get consolidated results. The users share their emotions and feelings through this review. So, it is a challenge to assess the emotions of the patients. Sentiment analysis using machine learning makes our work easy in evaluating the scores visually. The reviews are analyzed using natural language processing (NLP), and the sentiment of the studies is analysed as positive, negative, and neutral using polarity ranking, which in turn is converted as the recommendation system based on patient reviews. This paper aims to propose a new method of recommending the hospital based on the sentiment of the previous user review. The thought of the user is collected from the various hospitals. The proposed (Healthcare Recommendation System) HRS system has nearly 0.5 mean absolute error, which states that the proposed HRS system is significantly effective. 2023 IEEE. Creator An entity primarily responsible for making the resource Sabarmathi G.; Chinnaiyan R.; Muthulakshmi R. Source A related resource from which the described resource is derived 2023 International Conference on New Frontiers in Communication, Automation, Management and Security, ICCAMS 2023 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICCAMS60113.2023.10525742" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCAMS60113.2023.10525742</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194170856&doi=10.1109%2FICCAMS60113.2023.10525742&partnerID=40&md5=e8d0ea79107b435b08a0fe1502f14ba3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194170856&doi=10.1109%2fICCAMS60113.2023.10525742&partnerID=40&md5=e8d0ea79107b435b08a0fe1502f14ba3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835031706-0 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 Sabarmathi G., CHRIST(Deemed to Be University), School of Business Management, Bengaluru, India; Chinnaiyan R., Alliance University, Department of Cse, Bengaluru, India; Muthulakshmi R., Environmental Engineering, Kec, Andhra Pradesh, 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 Synthesis of 1, 8-Naphthyridine-3-Carbonitriles under solvent-free conditions using ceric ammonium nitrate Subject The topic of the resource Green chemistry; Heterocycles; Knoevenagel condensation; Michael addition; Multicomponent reaction; Solvent-free synthesis Description An account of the resource 1,8-naphthyridines are synthesized using a four-component, one-pot approach. This method includes the reaction of aromatic aldehyde, malononitrile, 1,6-dimethylpyridin-2(1H)-one, substituted aniline in a solvent-free condition catalyzed by Ceric Ammonium Nitrate (CAN). Contrary to the reported literature, this distinct method houses several promising factors to the same degree as solvent-free reaction conditions, shorter reaction duration, excellent yields, and a straightforward extraction process. 2023 Elsevier Ltd. All rights reserved. Creator An entity primarily responsible for making the resource Tabassum S.; Servesh A.; Daniel N.K.; Govindaraju S. Source A related resource from which the described resource is derived Materials Today: Proceedings, Vol-100, pp. 218-222. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.matpr.2023.07.144" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.matpr.2023.07.144</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214191018&doi=10.1016%2Fj.matpr.2023.07.144&partnerID=40&md5=c6c52499e048c28fe0309ee9f67d52af" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214191018&doi=10.1016%2fj.matpr.2023.07.144&partnerID=40&md5=c6c52499e048c28fe0309ee9f67d52af</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22147853 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 Tabassum S., Department of Chemistry, Surana College, Bengaluru, 560004, India; Servesh A., Department of Chemistry, CHRIST- Deemed to be University, Bengaluru, 570029, India; Daniel N.K., Department of Sciences and Humanities, CHRIST- Deemed to be University, Bengaluru, 570029, India; Govindaraju S., Department of Sciences and Humanities, CHRIST- Deemed to be University, Bengaluru, 570029, 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 FADA: Flooding Attack Defense AODV Protocol to counter Flooding Attack in MANET Subject The topic of the resource Denial of Service (DoS); FADA Protocol; Flooding attack; MANET; Throughput Description An account of the resource The intrinsic nature of a Mobile Ad hoc Network (MANET) makes it difficult to provide security and it is more vulnerable to network attacks. Denial of Service (DoS) attack can be executed using Flooding attack, that has the potential to bring down the entire network. This attack works by delivering an excessive number of unwanted packets that consumes too much battery life, storage space, and bandwidth, that eventually lowers the system's performance. In order to flood the network, the attacker injects fake packets into it. Both Control Packet flooding and Data flooding attacks are taken into account in this study. FADA (Flooding Attack Defense AODV) protocol is proposed to counter flooding attack that promotes greater utilization of existing resources. This research identifies the attack-causing node, isolates it and protects the network against flooding attack. Attack Detection Rate, Attack Detection Accuracy, End-to-end delay and Throughput are few metrics used for evaluation of the proposed model. NS-2.35 is used to demonstrate the efficiency of the suggested protocol and the results prove that the proposed model increases system's throughput while decreasing attack. The simulation results have shown that the proposed FADA protocol performs better than the existing models taken into consideration. 2023 IEEE. Creator An entity primarily responsible for making the resource Kiruthika M.; Krishnasamy L.; Samuel P.; Kanagaraj K. Source A related resource from which the described resource is derived Proceedings of IEEE 2023 5th International Conference on Advances in Electronics, Computers and Communications, ICAECC 2023 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAECC59324.2023.10560115" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAECC59324.2023.10560115</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198407202&doi=10.1109%2FICAECC59324.2023.10560115&partnerID=40&md5=7cf208f74599fe843fbdbeffcbc3d93e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198407202&doi=10.1109%2fICAECC59324.2023.10560115&partnerID=40&md5=7cf208f74599fe843fbdbeffcbc3d93e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835030544-9 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 Kiruthika M., School of Computing, SRM Institute of Science and Technology, Department of Computational Intelligence, Tamilnadu, Kattankulathur, India; Krishnasamy L., School of Engineering and Technology, Christ University, Department of Computer Science and Engineering, Karnataka, Bengaluru, India; Samuel P., School of Computing, SRM Institute of Science and Technology, Department of Computational Intelligence, Tamilnadu, Kattankulathur, India; Kanagaraj K., School of Computing, SRM Institute of Science and Technology, Department of Computational Intelligence, Tamilnadu, Kattankulathur, 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 A Review on EMG-based Pattern Identification Methods for Effective Controlling of Hand Prostheses Subject The topic of the resource Classification Algorithms; Deep Learning; Electromyography; Hand Prosthesis; Recognition Accuracy Description An account of the resource The ability of amputees to do daily duties is significantly restricted by upper limb amputation. The myoelectric prosthesis uses impulses from the surviving muscles in the stump to gradually restore function to such severed limbs. Such myosignals are unfortunately tedious and challenging to gather and employ. The process of transforming it into a user control signal after it has been acquired often consumes a significant amount of processing resources. By modifying machine learning strategies for pattern recognition, the factors that influence the traditional electromyography (EMG)-pattern identification approaches may be significantly minimized. Although more recent developments in intelligent pattern recognition algorithms could discern between a variety of degrees of freedom with high levels of accuracy, their usefulness in practical (amputee) applications was less obvious. This review paper examined how well various pattern recognition algorithms for hand prostheses performed. Finally, we discussed the current difficulties and offered some suggestions for future research in our paper's conclusion. 2023 IEEE. Creator An entity primarily responsible for making the resource Ramkumar S.; Rema D.; Devi T.A.; Elavarasi K.; Selvaganapathi T.; Gokila S. Source A related resource from which the described resource is derived 3rd International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2023 - Proceedings, pp. 517-523. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICIMIA60377.2023.10426249" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIMIA60377.2023.10426249</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191828034&doi=10.1109%2FICIMIA60377.2023.10426249&partnerID=40&md5=957abec1d66994d6d8d7b3a3453687f3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191828034&doi=10.1109%2fICIMIA60377.2023.10426249&partnerID=40&md5=957abec1d66994d6d8d7b3a3453687f3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034363-2 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 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 Ramkumar S., Christ (Deemed to Be University), Department of Computer Science, Bangalore, India; Rema D., Karpagam Academy of Higher Education, Department of Food Technology, Coimbatore, India; Devi T.A., Karpagam Academy of Higher Education, Department of Food Technology, Coimbatore, India; Elavarasi K., Karpagam Academy of Higher Education, Department of Electrical and Electronics Engineering, Coimbatore, India; Selvaganapathi T., Karpagam Academy of Higher Education, Department of Electrical and Electronics Engineering, Coimbatore, India; Gokila S., Karpagam Institute of Technology, Department of CSE, 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 Digital Transaction Cyber-Attack Detection Using Particle Swarm Optimization Subject The topic of the resource Cyber-attacks; Deep Learning; Digital Transaction; Genetic Algorithm; Machine Learning; Particle Swarm Optimization Description An account of the resource The cyber digital world is an essential variant in day-to-day life in advanced technology. There is a better change in the lifestyle as intelligent technology. In larger excite to increase the advanced technology which can be developed to humans in major dependent on network and internet users. Now, in modern times, the internet has changed the primary need in human lifestyle by giving access to everything in the world while sitting in one place knowing and updating the information and usage of online subscribers or Revolution. The world is moving in Rapid and Faster communications within a fraction of a second, at a lesser cost, and it has minimal paper-based processes and relies on the digitization document instead of a paperless environment. The data is handled by finch security practices, which are used in security worldwide to establish protected data management systems like digital lending, credits, mobile Banking, and mobile payment. Cryptocurrency and blockchain, B-trading, and banking as a service are included. At the same time, leveraging the new technologies is to resist hacking cyber-attacks. This article is also involved in artificial intelligence and machine learning (AI&ML) in different cyber-attacks. This article focuses on genetic algorithms to detect the cyber-attack. The main aim of the detection is future to prevent these cyber-attacks. The comparison will take two sample genetic algorithms. The first one is taken for Ant Colony Optimization (ACO), and the proposed model is taken for Particle Swarm Optimization. The average attack detection of ACO algorithm is 45 packets at the same time PSO algorithm will detect 50 packets. 2023 IEEE. Creator An entity primarily responsible for making the resource Monisha N.; Gunvanth G.; Jayapandian N. Source A related resource from which the described resource is derived Proceedings of the 4th IEEE International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2023 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSTCEE60504.2023.10585244" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSTCEE60504.2023.10585244</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199521985&doi=10.1109%2FICSTCEE60504.2023.10585244&partnerID=40&md5=14e5f9ec60fd6765d1dc5f1c63aef8a9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199521985&doi=10.1109%2fICSTCEE60504.2023.10585244&partnerID=40&md5=14e5f9ec60fd6765d1dc5f1c63aef8a9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038462-8 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 Monisha N., Christ (Deemed To Be University), Department Of Cse, India; Gunvanth G., Christ (Deemed To Be University), Department Of Civil Engineering, India; Jayapandian N., Christ (Deemed To Be University), Department Of Cse, 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 Model independent approach to proton polarization in photodisintegration of deuteron Subject The topic of the resource Deuteron photodisintegration; Model independent theoretical formalism; Proton polarization Description An account of the resource In addition to other photonuclear reactions, the study of photonuclear reactions on deuterium targets is important for laser physics, nuclear physics, astrophysics, and a number of applications, including nondestructive testing of nuclear materials. In this paper, we have carried out a model independent analysis of proton polarization in photodisintegration of deuterons with initially unpolarized beam and unpolarized target. The angular dependence of the polarization is studied by expressing it in terms of multipole amplitudes. 2023 Elsevier Ltd. All rights reserved. Creator An entity primarily responsible for making the resource Kusuma M.; Shastri V.; Shilpashree S.P. Source A related resource from which the described resource is derived Materials Today: Proceedings, Vol-100, pp. 129-131. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.matpr.2023.05.383" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.matpr.2023.05.383</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214231027&doi=10.1016%2Fj.matpr.2023.05.383&partnerID=40&md5=a792824897da0ac05b4adf1f9ad008e7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214231027&doi=10.1016%2fj.matpr.2023.05.383&partnerID=40&md5=a792824897da0ac05b4adf1f9ad008e7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22147853 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 Kusuma M., K S School of Engineering and Management, Karnataka, Bengaluru, 560109, India, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India; Shastri V., School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India; Shilpashree S.P., School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bengaluru, 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 Enhancing Disease Prediction in Healthcare: A Comparative Analysis of PSO and Extreme Learning Approach Subject The topic of the resource Disease Prediction System; Extreme Learning Machine (ELM); Particle Swarm Optimization (PSO) Description An account of the resource The healthcare business generates a tremendous quantity of data, and the goal is to collect it and use it effectively for analysis, prediction, and treatment. The best approach to disease management is disease prevention through early intervention. There are a number of methods that can advise you on how to treat a specific sickness, but much fewer that can tell you with any degree of certainty if you will actually get sick in the first place. Preprocessing, feature selection, feature extraction, and model training are all parts of the proposed method. The suggested layout includes a preprocessing stage that takes care of things like moving average, missing values, and normalization. Feature selection describes the process of selecting the most relevant features from a dataset. After gathering features, the models are trained using PSO-ELM. The proposed strategy is superior to the widely used PSO and ELM. 2023 IEEE. Creator An entity primarily responsible for making the resource Prabakaran M.; Bhole M.K.; Kalpana V.; Dixit S.; Divya K.; Chauhan D.A. Source A related resource from which the described resource is derived 3rd International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2023 - Proceedings, pp. 1092-1097. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICIMIA60377.2023.10426121" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIMIA60377.2023.10426121</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191772784&doi=10.1109%2FICIMIA60377.2023.10426121&partnerID=40&md5=11231140904e02624a53cc2ce2ea1c6f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191772784&doi=10.1109%2fICIMIA60377.2023.10426121&partnerID=40&md5=11231140904e02624a53cc2ce2ea1c6f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034363-2 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 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 Prabakaran M., Madanapalle Institute of Technology & Science, Department of Computer Science and Engineering (Data Science), Andhra Pradesh, India; Bhole M.K., Bharati Vidyapeeth College of Engineering, Department of Instrumentation Engineering, Navi Mumbai, India; Kalpana V., RMK College of Engineering and Technology, Puduvoyal, Department of Science and Humanities, Tamilnadu, Thiruvallur, India; Dixit S., Vellore Institute of Technology, School of Computer Science Engineering, Tamilnadu, Vellore, India; Divya K., Prince Shri Venkateshwara Padmavathy Engineering College, Department of ECE, Chennai, India; Chauhan D.A., CHRIST (Deemed to Be University), School of Sciences, Department of Life Sciences, Karnataka, 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 Smart Sensory Approach for Soil Health Tracking based Precision Farming Subject The topic of the resource humidity; Internet of Things; Precision farming; predictive analytics; remote sensing; Sensory computing Description An account of the resource Internet of Things (IoT) technology will have an impact on every area in the future as it will make everything intelligent, which will affect everyone's daily lives. It is a network composed of many devices that can configure themselves. The use of IoT in smart farming is transforming traditional agricultural practices by reducing crop loss, improving them, and making them more cost-effective for farmers. The study's goal is to propose a technological model for soil health monitoring that uses smart sensors and intelligent methods to communicate with farmers through a variety of channels. Farmers will benefit from the real-time farm data (temperature, humidity, soil moisture, UV index, and IR) that allows them to practice smart farming while increasing crop yields and conserving resources. 2023 IEEE. Creator An entity primarily responsible for making the resource Bhattacharyya A.; Saini T.; Sharma V.; Mishra S. Source A related resource from which the described resource is derived 3rd International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2023 - Proceedings, pp. 563-570. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICIMIA60377.2023.10425922" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICIMIA60377.2023.10425922</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191764465&doi=10.1109%2FICIMIA60377.2023.10425922&partnerID=40&md5=ae1f380034f0d0554ebeb9566db45c32" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191764465&doi=10.1109%2fICIMIA60377.2023.10425922&partnerID=40&md5=ae1f380034f0d0554ebeb9566db45c32</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034363-2 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 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 Bhattacharyya A., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Saini T., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Sharma V., CHRIST (Deemed to Be University), Department of Computational Sciences, Delhi NCR, India; Mishra S., Deemed to Be University, Kalinga Institute of Industrial Technology, India