535 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 Rating of Online Courses: A Machine Learning Based Prediction Model Subject The topic of the resource ANN-PSO; Online courses; Prediction; Ratings Description An account of the resource Online courses market has provided an economical and easy access to knowledge. When it comes to make a decision related to purchase of online course, little is known about what attributes can be depended upon to guess the quality of an online course. Ratings for online courses act as a reliable signal for assessing the quality of a course. The study discusses the prediction of ratings for online courses using Artificial Neural Network based on Particle Swarm Optimization (ANN-PSO). The experimental results suggests that ANN-PSO model has the capacity to predict the ratings for online courses on the basis of its attributes with accuracy. 2021 IEEE. Creator An entity primarily responsible for making the resource Inder S.; Dua G.K.; Verma R.; Sinha S. Source A related resource from which the described resource is derived 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 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/ICRITO51393.2021.9596449" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRITO51393.2021.9596449</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123363463&doi=10.1109%2FICRITO51393.2021.9596449&partnerID=40&md5=30cc891e37f901b39c93becd5abc7b9b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123363463&doi=10.1109%2fICRITO51393.2021.9596449&partnerID=40&md5=30cc891e37f901b39c93becd5abc7b9b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166541703-7 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 Inder S., Chitkara University, Chitkara Business School, Punjab, India; Dua G.K., Chitkara University, Chitkara Business School, Punjab, India; Verma R., Chitkara University, Chitkara Business School, Punjab, India; Sinha S., CHRIST (Deemed to Be 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 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 Power Line Communication Parameters in Smart Grid for Different Power Transmission Lines Subject The topic of the resource Bit Error Rate; Power Line Communication; Signal to Noise Ratio; Transmission lines Description An account of the resource In an electrical power system smart grid is a network that renewable energy sources along with smart devices. Communication capabilities of the conventional grid can be improved by the inclusion of superior sensing and computing abilities. Device control, remote management, information collection, intelligent power management is achievable by using communication networks. Wired communication technology is used because of its advantages like reliable connection, free from interference, and faster speed. In this paper, the data communication parameters have been analyzed using Power Line Communication (PLC) with various lengths of transmission lines. An orthogonal Frequency Modulation scheme is used to obtain the minimum BER.MATLAB Programming has been carried out and the results have been compared with the standards and found to be satisfactory. 2021 IEEE. Creator An entity primarily responsible for making the resource Latha N.; Surendra U.; Malathi M. Source A related resource from which the described resource is derived 2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 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/UPCON52273.2021.9667658" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/UPCON52273.2021.9667658</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125090963&doi=10.1109%2FUPCON52273.2021.9667658&partnerID=40&md5=7e19d3e723d3d9eca5df7118de27d81d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125090963&doi=10.1109%2fUPCON52273.2021.9667658&partnerID=40&md5=7e19d3e723d3d9eca5df7118de27d81d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166540962-9 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 Latha N., Reva University, School of Eee, Bangalore, India; Surendra U., Christ (Deemed to Be University), Department of Eee, Bangalore, India; Malathi M., Reva University, School of Eee, 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 A real time fog computing applications their privacy issues and solutions Subject The topic of the resource Edge Computing; privacy; robustness; security Description An account of the resource Edge Computing (EC) has brought cloud technology to the channel's edge. It inherits some qualities from cloud services, but it also has some distinctive features such as geo-distribution, network connectivity, and reduced power. Along with the genetic inheritance, it also acquires the issues and concerns cloud computing services, such as renewable energy and resource allocation. This work provides a critical analysis of the fog architectural design in terms of security. Since 2018, the state of the artwork has been critically analyzed in terms of security mechanisms and security threats. The existing security methods are classified based on the security objectives they achieved. It would provide a complete and coherent difference between both the security areas investigated and those that have not. 2021 IEEE. Creator An entity primarily responsible for making the resource Kumar K.S.; Vatambeti R.; Krishna K.V.; Narender M.; Saikumar K. Source A related resource from which the described resource is derived Proceedings of the 5th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2021, pp. 740-747. 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/ICECA52323.2021.9675956" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICECA52323.2021.9675956</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125388718&doi=10.1109%2FICECA52323.2021.9675956&partnerID=40&md5=f5efa258e885d9583d8ad02cdf5df508" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125388718&doi=10.1109%2fICECA52323.2021.9675956&partnerID=40&md5=f5efa258e885d9583d8ad02cdf5df508</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543524-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumar K.S., SR University, School of Computer Science Artificial Intelligence, Telangana, Warangal, India; Vatambeti R., CHRIST (Deemed to Be University), Computer Science and Engineering, Bengaluru, India; Krishna K.V., Koneru Lakshmaiah Education Foundation, Dept of AIandDS, green fields, vaddeswaram, Guntur, 522502, India; Narender M., CSE Jayamukhi Institute of Technological Sciences, Telangana, Warangal, India; Saikumar K., Malla Reddy University, Hyderabad, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Co-MoS2 nanoflower coated carbon fabric as a flexible electrode for supercapacitor Subject The topic of the resource Co-MoS2; Cyclic stability; Specific capacitance; Supercapacitor Description An account of the resource Cobalt doped MoS2 (Co-MoS2) nanoflowers have been successfully synthesized via a simple one-step hydrothermal method for supercapacitor applications. To identify the crystalline nature and morphology, the as-prepared material is characterized by XRD, SEM, and TEM measurements. The material exhibits a specific capacitance value of 86 F g-1 at a current density of 1 Ag-1 in symmetric two-electrode configuration with excellent cyclic stability of 98.5% even after 10,000 chargedischarge cycles. The results suggest the suitability of Co-MoS2 as an efficient electrode material for supercapacitors. 2021 Elsevier Ltd. All rights reserved. Creator An entity primarily responsible for making the resource Rohith R.; Manuraj M.; Imran Jafri R.; Rakhi R.B. Source A related resource from which the described resource is derived Materials Today: Proceedings, Vol-50, pp. 1-6. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.matpr.2020.12.1054" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.matpr.2020.12.1054</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123529578&doi=10.1016%2Fj.matpr.2020.12.1054&partnerID=40&md5=5aa6d9a5551646e2411079fc3b851f4f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123529578&doi=10.1016%2fj.matpr.2020.12.1054&partnerID=40&md5=5aa6d9a5551646e2411079fc3b851f4f</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 Rohith R., Department of Physics, University of Kerala, Kariavattom, Thiruvanathapuram, 695581, India; Manuraj M., Chemical Science and Technology Division, CSIR-National Institute of Interdisciplinary Science and Technology (CSIR-NIIST), Kerala, Thiruvanathapuram, 695019, India; Imran Jafri R., Christ (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Rakhi R.B., Department of Physics, University of Kerala, Kariavattom, Thiruvanathapuram, 695581, India, Chemical Science and Technology Division, CSIR-National Institute of Interdisciplinary Science and Technology (CSIR-NIIST), Kerala, Thiruvanathapuram, 695019, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Application of Machine Learning in Customer Churn Prediction Subject The topic of the resource Customer churn; Customer relationship management; Data mining; Machine learning Description An account of the resource Retaining customers is the central component of a company's growth strategy. It is evident that several industries are experiencing a surge in customer churn due to the global pandemic. As a result, customer retention that lies at the core of customer relationship management, has become the foundation for every industry to plan for future growth. By reducing customer churn, a company can maximize its profit. Studies suggest that significant advancements are made in the field of customer churn prediction in domains like telecom, banking, e-commerce and energy sector. The focus of the paper is to present a detailed review of the various machine learning techniques applied to address churn. Fifty-five papers related to churn classification published between 2004 and 2020 are collected and analyzed. The reviewed papers are categorized into five main themes. These themes are feature selection techniques, methods to handle class imbalance, experimentation with machine learning algorithms, hybrid models and ensemble models respectively. Finally, few suggestions are presented as direction for future research. 2021 IEEE. Creator An entity primarily responsible for making the resource De S.; Prabu P.; Paulose J. Source A related resource from which the described resource is derived 3rd IEEE International Virtual Conference on Innovations in Power and Advanced Computing Technologies, i-PACT 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/i-PACT52855.2021.9696771" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/i-PACT52855.2021.9696771</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126457996&doi=10.1109%2Fi-PACT52855.2021.9696771&partnerID=40&md5=a1b6f3a63a4bb0c1de1189f7fcf5e7cd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126457996&doi=10.1109%2fi-PACT52855.2021.9696771&partnerID=40&md5=a1b6f3a63a4bb0c1de1189f7fcf5e7cd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166542691-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant De S., CHRIST (Deemed to Be University), Department of Computer Science, Bangalore, India; Prabu P., CHRIST (Deemed to Be University), Department of Computer Science, Bangalore, India; Paulose J., 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 Alzheimer's Disease Detection using Machine Learning: A Review Subject The topic of the resource alzheimer's disease; machine Learning; pathologically proven data; support vector machine; transfer learning Description An account of the resource Alzheimer's is a progressive brain disorder which is an untreatable, and inoperable and mostly affect the elderly people. There is a new case of Alzheimer's disease being discovered globally in every four seconds. The outcome is fatal, as it results in death. Timely identification of Alzheimer's disease can be beneficial for us to get necessary care and possibly even avert brain tissue damage by the time. Effective automated techniques are required for detecting Alzheimer's disease at very early stage. Researchers use a variety of novel approaches to classify Alzheimer's disease. machine learning, an AI branch use probabilistic technique that allow system to acquire knowledge from huge amount of data. In this paper we represent a analysis report of the work which is done by researcher in this field. Research has achieved quite promising prediction accuracies however they were evaluated the the non-existent datasets from various imaging modalities which makes it difficult to make the fair comparison with the other methods comparison among them. In this paper, we conducted a study on the effectiveness of using human brain MRI scans to detect Alzheimer's disease and ended with a future discussion of Alzheimer's research trends. 2021 IEEE. Creator An entity primarily responsible for making the resource Dahiya S.; Vijayalakshmi S.; Sabharwal M. Source A related resource from which the described resource is derived Proceedings - 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021, pp. 288-293. 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/ICAC3N53548.2021.9725703" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N53548.2021.9725703</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127011417&doi=10.1109%2FICAC3N53548.2021.9725703&partnerID=40&md5=79c9687a2af143a1cdddc2c4bb3a790f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127011417&doi=10.1109%2fICAC3N53548.2021.9725703&partnerID=40&md5=79c9687a2af143a1cdddc2c4bb3a790f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543811-7 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 Dahiya S., Galgotias University, School of Computing Science and Engineering, Greater Noida, India; Vijayalakshmi S., Christ University, Department of Data Science, Lavasa, India; Sabharwal M., Galgotias University, School of Computing Science, Greater Noida, 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 The effect of cutting fluid in improving the machinability of Inconel 718 using ceramic AS20 tool Subject The topic of the resource Ceramic; Hicut 590; Inconel 718; Koolkut 40; Surface plot; Surface roughness; Tool wear Description An account of the resource Industries demand a vast usage of superalloys in heat resistant and high temperature applications. These include nozzle of rocket fuel engines, throttle valve of turbojet engines, turbine blade discs of aerospace industries, rivets and fittings of chemical and production industries, biomedical applications in super strength resistive steels. These superalloys such as Inconel 718 finds its vast applications in all such industries. To machine such materials a lot of wear and tear occurs at the cutting tool. Hence, cutting fluid helps in reduction of tool wear and improving surface roughness. In this paper, two cutting fluids Koolkut 40 and Hicut 590 have been used in emulsified form during the machining of Inconel 718 with Ceramic cutting tool. Hicut 590 has been seen a better heat resistive cutting fluid in reducing the tool wear and thus improving the life of the tool. 2021 Elsevier Ltd. All rights reserved. Selection and Peer-review under responsibility of the scientific committee of the Global Conference on Recent Advances in Sustainable Materials 2021. Creator An entity primarily responsible for making the resource Rout I.S.; Pandian P.P.; Raj A.; Rego A.M. Source A related resource from which the described resource is derived Materials Today: Proceedings, Vol-49, pp. 1169-1174. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.matpr.2021.06.162" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.matpr.2021.06.162</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123433372&doi=10.1016%2Fj.matpr.2021.06.162&partnerID=40&md5=64304c015eb5d1a81fb202d48a3c1e8a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123433372&doi=10.1016%2fj.matpr.2021.06.162&partnerID=40&md5=64304c015eb5d1a81fb202d48a3c1e8a</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 Rout I.S., School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Pandian P.P., School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Raj A., School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Rego A.M., School of Engineering and Technology, 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 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 Distributed DoS Detection in IoT Networks Using Intelligent Machine Learning Algorithms Subject The topic of the resource DDoS; IoT; Nave Bayes; Random Forest; ZeroR Description An account of the resource The threat of a Distributed Denial of Service (DDoS) attack on web-based services and applications is grave. It only takes a few minutes for one of these attacks to cripple these services, making them unavailable to anyone. The problem has further persisted with the widespread adoption of insecure Internet of Things (IoT) devices across the Internet. In addition, many currently used rule-based detection systems are weak points for attackers. We conducted a comparative analysis of ML algorithms to detect and classify DDoS attacks in this paper. These classifiers compare Nave Bayes with J48 and Random Forest with ZeroR ML as well as other machine learning algorithms. It was found that using the PCA method, the optimal number of features could be found. ML has been implemented with the help of the WEKA tool. 2021 IEEE. Creator An entity primarily responsible for making the resource Binny S.; Pendyala S.S.; Pimo S.J.; Aurelia S.; Reddy P.R.; Satyanarayana D.S.S. Source A related resource from which the described resource is derived 2021 2nd International Conference on Smart Technologies in Computing, Electrical and Electronics, ICSTCEE 2021 - 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSTCEE54422.2021.9708569" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSTCEE54422.2021.9708569</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125700001&doi=10.1109%2FICSTCEE54422.2021.9708569&partnerID=40&md5=0e808f3809502a1549e66b8ba5ca6965" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125700001&doi=10.1109%2fICSTCEE54422.2021.9708569&partnerID=40&md5=0e808f3809502a1549e66b8ba5ca6965</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166548297-4 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 Binny S., Kristu Jyoti College of Management and Technology, Department of Computer Science, Kerala, India; Pendyala S.S., Institute of Aeronautical Engineering, Department of ECE, Hyderabad, India; Pimo S.J., St. Xavier's Catholic College of Engineering, Nagercoil, India; Aurelia S., Christ University, Bangalore, India; Reddy P.R., Geethanjali Institute of Science and Technology, ECE, Nellore, India; Satyanarayana D.S.S., Chalmers University of Technology, Goteborg, Sweden 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 Green and Sustainable Software Model for IT Enterprises Subject The topic of the resource Energy consumption; Green computing; Green IT; Green software; Software development; Sustainable software Description An account of the resource The present study is based on developing a Green and Sustainable software because in the present-day computing devices are used for all kinds of purposes and they consume a lot of energy to perform these services. The ICT sector itself consumes a lot of energy so there is a need to think of alternatives that can reduce the level of energy consumption, thus, green ICT practice can be a good option. There is, however, a scarcity of researches that explains how the maintenance of green knowledge in ICT software development may be implemented. Since we recognize that software development process (SDL) plays an essential role in enabling the ICT community, uncontrolled green knowledge in developing software that would lead to the dilemma of failing to satisfy both the community's business and environmental requirements. Therefore, this research will concentrate on presenting a methodology applying an innovative model for managing the green software development and implementation. Keeping this concern in mind the present paper is going to provide a Green and Sustainable software model which can be used in green ICT practices and will be helpful in reducing the energy consumption used by computers. 2021 IEEE. Creator An entity primarily responsible for making the resource Singh S.; Tiwari A.; Rastogi S.; Sharma V. Source A related resource from which the described resource is derived Proceedings of the 5th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2021, pp. 1157-1161. 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/ICECA52323.2021.9675938" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICECA52323.2021.9675938</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125426576&doi=10.1109%2FICECA52323.2021.9675938&partnerID=40&md5=1423ed360229b17e4d00073223a94566" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125426576&doi=10.1109%2fICECA52323.2021.9675938&partnerID=40&md5=1423ed360229b17e4d00073223a94566</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543524-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singh S., Sharda University, School of Business Studies, Greater Noida, India; Tiwari A., CHRIST (Deemed to Be University), Department of Commerce, Ghaziabad, India; Rastogi S., CHRIST (Deemed to Be University), Department of Commerce, Ghaziabad, India; Sharma V., Garhwal University, Department of Commerce, Hemvati Nandan Bahuguna, Uttrakhand, Srinagar, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Application of AI in video games to improve game building Subject The topic of the resource Future frame prediction; Image analytics; Video analytics Description An account of the resource Video Games Industry has been welcoming AI like any other industry for various tasks, AI in gaming helps to convey a much more realistic gaming experience, amplify player interaction and satisfaction over extensive periods. Additionally, the gaming industry is utilizing Artificial Intelligence to liberate its staff by making game development automated, quicker, and less expensive. In this work an experiment is described using Deep Neural Network and Statistical techniques for forecasting the location of an object in future frames of a video, it focuses on the engineering phase of the game, the proposed model combines future prediction of object location which helps to build the infinite universe in the videogame without any additional videos frames of the input video or hard coding any scenes to build the scenes further. 2021 IEEE. Creator An entity primarily responsible for making the resource Rath T.; Preethi N. Source A related resource from which the described resource is derived Proceedings - 2021 IEEE 10th International Conference on Communication Systems and Network Technologies, CSNT 2021, pp. 821-824. 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/CSNT51715.2021.9509685" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CSNT51715.2021.9509685</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124694484&doi=10.1109%2FCSNT51715.2021.9509685&partnerID=40&md5=871bd8676c95a63d855a760ce543d4c9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124694484&doi=10.1109%2fCSNT51715.2021.9509685&partnerID=40&md5=871bd8676c95a63d855a760ce543d4c9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-073810523-9 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 Rath T., Christ (Deemed to be) University, Pune, India; Preethi N., Christ (Deemed to be) University, Pune, 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 Relative Analysis on the Spotting of Cardiovascular Disease Employing Machine Learning Techniques Subject The topic of the resource Cardiovascular Disease; Fuzzy K Nearest Neighbor; Neural Networks; Support Vector machine Description An account of the resource Heart is one of the significant segments in the human body since it powers blood to the all the pieces of the body. Blood courses through the vein. Cardiovascular sickness is corresponded with the blockage of vein. The sign of heart sickness depends whereupon condition is impacting an individual. The term coronary illness is ordinarily utilized instead of cardiovascular infection. Dilated cardiomyopathy, Heart failure, Arrhythmia, Pulmonary stenosis, Mitral regurgitation, Coronary artery disease, Myocardial infraction, Mitral valve prolapse, Hypertrophic cardiomyopathy are the sorts of coronary illness. The several machine learning techniques are analyzed to spot heart disease. This paper gives relative investigation of coronary illness expectation utilizing machine learning. 2021 IEEE. Creator An entity primarily responsible for making the resource Pavan Kumar S.P.; Samiha C.M.; Anusha K.S.; Gururaj H.L.; Krishnamoorthy R.; Robert N.R. Source A related resource from which the described resource is derived 2021 International Conference on Data Analytics for Business and Industry, ICDABI 2021, pp. 214-217. 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/ICDABI53623.2021.9655908" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICDABI53623.2021.9655908</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124645239&doi=10.1109%2FICDABI53623.2021.9655908&partnerID=40&md5=d40781466141c87af10adf7d9e990516" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124645239&doi=10.1109%2fICDABI53623.2021.9655908&partnerID=40&md5=d40781466141c87af10adf7d9e990516</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166541656-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pavan Kumar S.P., Vidyavardhaka College of Engineering, Dept. of Cse, Mysuru, India; Samiha C.M., Mica College, Dept. of Cs, Mysuru, India; Anusha K.S., Vidyavardhaka College of Engineering, Dept. of Cse, Mysuru, India; Gururaj H.L., Vidyavardhaka College of Engineering, Dept. of Cse, Mysuru, India; Krishnamoorthy R., Science and Technology Vishwakarma University, Dept. of Cs, Pune, India; Robert N.R., Christ Deemed to Be University, Dept. of Cs, 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 HydroIoT: An IoT and Edge Computing based Multi-Level Hydroponics System Subject The topic of the resource Edge Computing; Hydroponics; Image Processing; Internet of Things; Precision Farming; Vertical Farming Description An account of the resource The depleting area of cultivable lands is increasing demands for implementing improved techniques that could use less space and produce more than traditional farming. This situation is common in all the developing and under developed countries. With a motivation to contribute towards providing solution to this growing problem of food scarcity, a Multi-Level Hydroponics System is proposed. The proposed system combines best of all trending technologies like IoT, Edge Computing and Computer Vision and applies it to Hydroponics. A cultivation estimation system based on image processing is implemented and accuracy of the same is tested with actual produce. The crop used for the proposed system is corn as it serves as best fodder for cattle. It was observed that with proposed system up to 95% accuracy in estimating fodder produce was achieved. 2021 IEEE. Creator An entity primarily responsible for making the resource Salvi S.; Savitha S.; Sawargaonkar S.; Vishwas B.; Harshitha T.K.; Pramod Jain S.A. Source A related resource from which the described resource is derived CSITSS 2021 - 2021 5th International Conference on Computational Systems and Information Technology for Sustainable Solutions, 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/CSITSS54238.2021.9683621" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CSITSS54238.2021.9683621</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125769085&doi=10.1109%2FCSITSS54238.2021.9683621&partnerID=40&md5=4744e3cc733a76259933f5d8c4625eb9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125769085&doi=10.1109%2fCSITSS54238.2021.9683621&partnerID=40&md5=4744e3cc733a76259933f5d8c4625eb9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166540610-9 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 Salvi S., Nitte Meenakshi Institute of Technology, Department of Information Science and Engineering, Karnataka, Bangalore, India; Savitha S., Christ University, Department of Computer Science Engineering, Karnataka, Bangalore, India; Sawargaonkar S., Vishwakarma Institute of Information Technology, Department of Mechanical Engineering, Maharashtra, Pune, India; Vishwas B., REVA University, Department of Computer Science Engineering, Karnataka, Bangalore, India; Harshitha T.K., Nitte Meenakshi Institute of Technology, Department of Information Science and Engineering, Karnataka, Bangalore, India; Pramod Jain S.A., Nitte Meenakshi Institute of Technology, Department of Information Science and Engineering, 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 Zero Trust-Based Adaptive Authentication using Composite Attribute Set Subject The topic of the resource Adaptive authentication; Risk score; Zero trust Description An account of the resource Rapid evolution of internet-oriented applications has increased the threats to confidential data. Single-factor authentication approaches are no longer sufficient to ensure user credibility. Multi-factor authentication schemes are also not tamper-proof. A Zero Trust, adaptive authentication-based approach that uses the user's past behavior can offer protection in this scenario. This paper proposes a system that collects a composite attribute set that includes the user behavior, attributes of the application through which the user is requesting access, and the device used. The enhanced collection allows the creation of detailed context that allows granular variance calculation and risk score. 2021 IEEE. All Rights Reserved. Creator An entity primarily responsible for making the resource Krishnan V.; Sreeja C.S. Source A related resource from which the described resource is derived 2021 IEEE 3rd PhD Colloquium on Ethically Driven Innovation and Technology for Society, PhD EDITS 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/PhDEDITS53295.2021.9649474" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/PhDEDITS53295.2021.9649474</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124238492&doi=10.1109%2FPhDEDITS53295.2021.9649474&partnerID=40&md5=8d1c0fd0d9138fdb907bee16fd318dc9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124238492&doi=10.1109%2fPhDEDITS53295.2021.9649474&partnerID=40&md5=8d1c0fd0d9138fdb907bee16fd318dc9</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166544013-4 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 Krishnan V., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Sreeja C.S., Department of Computer Science, 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 Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource An Intelligent System to Forecast COVID-19 Pandemic using Hybrid Neural Network Subject The topic of the resource ARIMA; COVID-19; Forecasting; Hybrid; LSTM Description An account of the resource A current outbreak known as COVID-19 has been discovered from the coronavirus was informed by WHO. COVID-19 is a universal pandemic that has brought out the best and the worst of humanity. Due to an increase in the cases daily, COVID-19 is creating a menace to public health and establishes a disruption of the social and economic development of the countries. The problem is the hospitals are not able to provide proper facilities and treatments on time due to the lack of facilities in India. The purpose of this project to build an efficient hybrid deep learning model for forecasting the COVID-19 pandemic with multiple features that are responsible for the spread of COVID-19 in the top five states in India. In particular, a hybrid model that incorporates Auto-Regressive Integrated Moving Average and Long-term Short Memory is been used to forecast confirmed cases. The linear and non-linear dependencies in the dataset is been dealt with by an ARIMA-LSTM hybrid model. As a result, when compared to the outcomes of ARIMA, LSTM models independently, the hybrid model was giving better results and was performing well in forecasting COVID-19 cases. Through this, the policymakers will get prior information on COVID-19 cases in states which will help the government and healthcare departments to take prominent measures to prevent it. 2021 IEEE. Creator An entity primarily responsible for making the resource Vanahalli S.; Preethi N. Source A related resource from which the described resource is derived Proceedings - 2021 IEEE 10th International Conference on Communication Systems and Network Technologies, CSNT 2021, pp. 543-548. 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/CSNT51715.2021.9509622" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CSNT51715.2021.9509622</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124700516&doi=10.1109%2FCSNT51715.2021.9509622&partnerID=40&md5=91d682e8f876a444dfda65bf48705cad" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124700516&doi=10.1109%2fCSNT51715.2021.9509622&partnerID=40&md5=91d682e8f876a444dfda65bf48705cad</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-073810523-9 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 Vanahalli S., Department of Data Science Christ (Deemed to be University), Lavasa, Pune, India; Preethi N., Department of Data Science Christ (Deemed to be University), Lavasa, Pune, 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 Classification Algorithms Used in the Study of EEG-Based Epileptic Seizure Detection Subject The topic of the resource Classification; Decision Tree Classifier; EEG; Epileptic Seizures; KNN; Linear Discriminant Analysis; SVM; XGBOOST Description An account of the resource Epilepsy is a neurological illness that has become more frequent around the world. Nearly 80% of epileptic seizure sufferers live in low- and middle-income nations. In persons with encephalopathy, the risk of dying prematurely is three times higher than in the general population. Three-quarters of people with brain illnesses in low-income countries do not receive the treatment they require. Recurrent seizures are a symptom of epilepsy, characterized by strange bursts of excess energy in mind. Experts agree that most people diagnosed with epilepsy may be managed successfully, provided the episodes are discovered early on. As a result, machine learning plays an essential role in seizure detection and diagnosis. Support Vector Machine(SVM), Extreme Gradient Boosting(Xgboost), Decision Tree Classifier, Linear Discriminant Analysis(LDA), Perceptron, Naive Bayes Classifier, k-Nearest Neighbor(k-NN), and Logistic Regression are eight of the most widely used machine learning classification algorithms used to classify EEG based mostly Epileptic Seizures. Almost all classifiers, according to the study, give an efficient process. Despite this, the results show that SVM is the most effective method for detecting epileptic seizures, with a 96.84% accuracy rate. For diagnosing Epileptic Seizures using EEG signals, the perceptron model has a lower accuracy of 76.21% percent. 2021 IEEE. Creator An entity primarily responsible for making the resource Umme Salma M.; Najmusseher Source A related resource from which the described resource is derived Proceedings - 2nd International Conference on Smart Electronics and Communication, ICOSEC 2021, pp. 1518-1521. 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/ICOSEC51865.2021.9591824" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICOSEC51865.2021.9591824</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123219227&doi=10.1109%2FICOSEC51865.2021.9591824&partnerID=40&md5=1289ffceb8a262902f5365d356bf1894" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123219227&doi=10.1109%2fICOSEC51865.2021.9591824&partnerID=40&md5=1289ffceb8a262902f5365d356bf1894</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543368-6 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Umme Salma M., CHRIST (Deemed To Be University), Department of Computer Science, Bangalore, India; Najmusseher, 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 Concept Drift Detection for Social Media: A Survey Subject The topic of the resource real-time data; streaming data; temporal data; Twitter Description An account of the resource The research over information retrieval from social media data has progressed for streaming data since the last decade. Recently, academic researchers have witnessed users' changing topics, trends, and intent on social media. This change of information with time takes into account the temporal attribute for real-time data, and thus, advances in this domain are exponentially growing. Although concept drift is still not explored due to a shortage of available datasets, concept drift for social media is minimally explored. This manuscript makes attempts to identify the types of concept drift for social media data, discuss the historical perspective of concept drift on social media, and enlist the possible research directions. 2021 IEEE. Creator An entity primarily responsible for making the resource Patil M.A.; Kumar S.; Kumar S.; Garg M. Source A related resource from which the described resource is derived Proceedings - 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021, pp. 12-16. 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/ICAC3N53548.2021.9725548" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N53548.2021.9725548</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126983671&doi=10.1109%2FICAC3N53548.2021.9725548&partnerID=40&md5=a6790049bf2d2a26a22e0caba697de7c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126983671&doi=10.1109%2fICAC3N53548.2021.9725548&partnerID=40&md5=a6790049bf2d2a26a22e0caba697de7c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543811-7 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 Patil M.A., Amity University Rajasthan, Amity School of Engineering Technology, Jaipur, India; Kumar S., Amity University Rajasthan, Amity School of Engineering Technology, Jaipur, India; Kumar S., CHRIST (Deemed to Be University), Karnataka, Bangalore, 560029, India; Garg M., Amity University Rajasthan, Amity School of Engineering Technology, Jaipur, 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 Online Health Information Behavior: A study based on PLS-SEM Subject The topic of the resource behavioral intention; health belief model; online health information seeking behavior; perceived behavioral control; post search behavior Description An account of the resource In this digital era, internet provides a speedy, economical and convenient platform for seeking information on health. Moreover, the presence of audio visual resources for health and option to get expert opinion directly makes online health information seeking behaviour more adaptable among the health consumers. The major purpose of this study is to investigate the relationship between online health information seeking behaviour and the consequences of post-search. For doing the analysis, Smart PLS2 is used to execute structural equation modelling technique to understand the relationship between variables under study. The results of the study recommend that one's intention to search health information online is a significant predictor of post-search behavior in terms of altering health condition, visiting physician or sharing the same information with others. The present study gives a strong indication to the health care practitioners to understand the mechanism of desires and intentions of a healthcare consumer towards online health information seeking behavior. 2021 IEEE. Creator An entity primarily responsible for making the resource Oberai H.; Anand I.M. Source A related resource from which the described resource is derived 2021 5th International Conference on Information Systems and Computer Networks, ISCON 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/ISCON52037.2021.9702326" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ISCON52037.2021.9702326</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126478101&doi=10.1109%2FISCON52037.2021.9702326&partnerID=40&md5=b7930f1cd18acf3115262be03315a9b7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126478101&doi=10.1109%2fISCON52037.2021.9702326&partnerID=40&md5=b7930f1cd18acf3115262be03315a9b7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166540341-2 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 Oberai H., GLA University, Institute of Business Management, Mathura, India; Anand I.M., Christ University, School of Business Management, Ghaziabad, 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 Tracker Device for Women Safety Subject The topic of the resource coordinates; Google Maps; GPS Description An account of the resource Internet of Things (IoT) technologies assists by which machines, circuits, and many types of devices and interfaces communicate with one another. This IoT technology is useful for several purposes, especially in the field of Networking and Run-time data storage. Considering Women safety as our primary objective, we have used this technology and some other hardwares, including Raspberry Pi, to help the user in case of any emergency. Here also, with the help of IoT we are trying to make a device which can track the runtime location and the live, exact and efficient coordinates of the system which is in track. In the above context, in case of emergencies, it is very important to know the right place for the person to perform several important and critical actions whatsoever present at the right time.The GPS coordinates can be used to solve and analyse this problem. Additionally, we intend to add a voice recorder in case the women want to record any suspicious activity or information that can be helpful in the future for evidence purposes. In this paper, IoT is acting directly by receiving a person's GPS links from his server. Furthermore, we are combining the web interface with Google Maps on a single server so that the user's location can be tracked immediately using real-time coordinates.Our application can be used for wildlife, school-aged children, parent safety, and transportation services where location is a key factor. Although there are several direct and indirect usages of this project, the main use to which the project is concentrated is the use of this device to help our loved ones in the time of need. 2021 IEEE. Creator An entity primarily responsible for making the resource Johri P.; Sharma V.; Gupta V.; Baghela V.S. Source A related resource from which the described resource is derived Proceedings - 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021, pp. 620-625. 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/ICAC3N53548.2021.9725611" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N53548.2021.9725611</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126909857&doi=10.1109%2FICAC3N53548.2021.9725611&partnerID=40&md5=b46e17266dc03b41c7f3f0ba8164797b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126909857&doi=10.1109%2fICAC3N53548.2021.9725611&partnerID=40&md5=b46e17266dc03b41c7f3f0ba8164797b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166543811-7 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 Johri P., Galgotias University, School of Computer Science and Engineering, India; Sharma V., GCET, Department of CSE, Greater Noida, India; Gupta V., CHRIST University, Department of Computer Science, New Delhi, India; Baghela V.S., Galgotias University, School of Computer Science and Engineering, 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 Cloudsim exploration: A knowledge framework for cloud computing researchers Subject The topic of the resource Cloud infrastructure; CloudSim; Infrastructure intelligence; Learning path; PACT; Research setup; Scheduling algorithms Description An account of the resource This paper aims to help find solutions for questions an early researcher may have to set up experiments in their development environment. Simultaneously, while identifying the steps required for experimenting, the authors narrowed on an experimenting toolkit for Cloud Computing as an area of their study. Because of such simulators, the cloud computing environment itself is available easily at the comfort of ones desktop resources instead of visiting an actual physical data center to collect trace and log files as data sets for real workloads. This paper acts as an experience sharing to naive researchers who are interested in how to go about to start cloud computing setups. A new framework called Cloud Computing Simulation Environment (CCSE) is presented with inspiration from Procure Apply Consider and Transform (PACT) model to ease the learning process. The literature survey in this paper shares the path taken by researchers for understanding the architecture, technology, and tools required to set up a resilient test environment. This path also depicts the introduced framework CCSE. The parameters found out of the experiments were Virtual Machines (VMs), Cloudlets, Host, and Cores. The appropriate combination of the values of the parameters would be horizontal scaling of VMs. Increasing VMs does not influence the average execution time after a specific limit on the number of VMs allocated. Nevertheless, in vertical scaling, appropriate combinations of the cores and hosts yield better execution times. Thereby maintaining the optimal number of hosts is an ultimate saving of resources in case of VM allocations. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021. Creator An entity primarily responsible for making the resource Sankaran L.; Subramanian S.J.; Subramanian E-Mail: S.J. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-187, pp. 107-122. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-33-6173-7_8" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-33-6173-7_8</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121364237&doi=10.1007%2F978-981-33-6173-7_8&partnerID=40&md5=12cd87f2b3f9da5172bca02a57aba25a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121364237&doi=10.1007%2f978-981-33-6173-7_8&partnerID=40&md5=12cd87f2b3f9da5172bca02a57aba25a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981336172-0 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 Sankaran L., CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Subramanian S.J., CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Subramanian E-Mail: S.J. 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 Machine Learning-based Currency Information Retrieval for Aiding the Visually Impaired People Subject The topic of the resource Blurriness detection; Classification; Counterfeit currency detection; Currency recognition; Deep Learning Description An account of the resource Paper currency is one of the most in-demand and long-established payment modes across the globe. People suffering from visual disabilities often face difficulties while handling paper currencies. Over the years, assisting technology has been rekindling itself to serve the aged and disabled person more aptly. Image processing methods and other sophisticated technologies, like Artificial Intelligence, Deep Learning, etc., can be employed to identify banknotes and fetch other valuable pieces of information from them. This paper proposes a framework that focuses on an integrated approach to retrieving data from the paper currency's uploaded image. The current version of the framework focuses on identifying the authenticity of the paper currency and classifying it according to its value. This work is an initiative to help visually impaired people to use paper currencies without assistance from other individuals and support them in living independently. 2021 IEEE. Creator An entity primarily responsible for making the resource Chatterjee K.; Obaidat M.S.; Samanta D.; Hafizul Islam S.K.; Joseph N.P. Source A related resource from which the described resource is derived Proceedings of the International Conference on Computer, Information, and Telecommunication Systems, CITS 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/CITS52676.2021.9618567" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CITS52676.2021.9618567</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123797222&doi=10.1109%2FCITS52676.2021.9618567&partnerID=40&md5=dbf1890cbfde12c3e4f64cb093f75052" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123797222&doi=10.1109%2fCITS52676.2021.9618567&partnerID=40&md5=dbf1890cbfde12c3e4f64cb093f75052</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166544913-7 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 Chatterjee K., CHRIST (Deemed to Be) University, Department of Computer Science, Karnataka, Bangalore, India; Obaidat M.S., University of Sharjah, College of Computing and Informatics, Sharjah, 27272, United Arab Emirates; Samanta D., CHRIST (Deemed to Be) University, Department of Computer Science, Karnataka, Bangalore, India; Hafizul Islam S.K., Indian Institute of Information Technology, Department of CSE, West Bengal, Kalyani, 741235, India; Joseph N.P., CHRIST (Deemed to Be) University, Department of Computer Science, Karnataka, Bangalore, India