299 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 Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource How Green Consumption Value Affects Green Consumer Behaviour: The Mediating Role of Consumer Attitudes Towards Sustainable Food Logistics Practices Subject The topic of the resource Green Attitude; Green Consumer Attitude; Green Consumer Behaviour; Green Consumption Value; Sustainable Food Logistics Description An account of the resource The aim of the study is to identify the green consumption values and production patterns and understand how they impact consumer behaviour and purchase intention of green consumers, in particular, the environment-conscious youth in the city of Bangalore. The focus of the study is on the pre-purchase sustainable logistics of food products and how they impact behaviour and attitudes of green consumers. The theory of planned behaviour and social cognitive theory form the theoretical base for the current research. An online survey was conducted among 284 participants in and around the scope area. Confirmatory factor analysis and structural equation modelling were used to test the hypotheses. The results showed that green consumption values and consumer attitudes towards sustainable food logistics either directly or indirectly influence green purchase intention and environmentally conscious behaviour towards food products. The main contribution of this study is the identification of new multidimensional constructs which can be used to measure green consumer attitude in terms of sustainable food logistics practices in the Indian context. These findings will empower managers and future researchers to understand how sustainable food logistics practices can create green consumer attitudes. They will also assist food production companies to identify possible opportunities, developments and other benefits they can derive from following sustainable food logistics practices. 2021 Management Development Institute. Creator An entity primarily responsible for making the resource Alagarsamy S.; Mehrolia S.; Mathew S. Source A related resource from which the described resource is derived Vision, Vol-25, No. 1, pp. 65-76. Publisher An entity responsible for making the resource available Sage Publications India Pvt. 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/10.1177/0972262920977986" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/0972262920977986</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100032536&doi=10.1177%2F0972262920977986&partnerID=40&md5=5b4dd76386ebb65f91de18941e6bcb52" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85100032536&doi=10.1177%2f0972262920977986&partnerID=40&md5=5b4dd76386ebb65f91de18941e6bcb52</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9722629 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Alagarsamy S., Christ Institute of Management, Christ University, Bengaluru, Karnataka, India; Mehrolia S., Christ Institute of Management, Christ University, Bengaluru, Karnataka, India; Mathew S., Christ Institute of Management, Christ University, Bengaluru, Karnataka, 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 How much can we trust high-resolution spectroscopic stellar chemical abundances? Description An account of the resource To study stellar populations, it is common to combine chemical abundances from different spectroscopic surveys/studies where different setups were used. These inhomogeneities can lead us to inaccurate scientific conclusions. In this work, we studied one aspect of the problem: When deriving chemical abundances from high-resolution stellar spectra, what differences originate from the use of different radiative transfer codes? 2016 Proceedings of the 12th Scientific Meeting of the Spanish Astronomical Society - Highlights of Spanish Astrophysics IX, SEA 2016. All rights reserved. Creator An entity primarily responsible for making the resource Blanco-Cuaresma S.; Nordlander T.; Heiter U.; JofrP.; Masseron T.; Casamiquela L.; Tabernero H.M.; Bhat S.S.; Casey A.R.; Meldez J.; Ramez I. Source A related resource from which the described resource is derived Proceedings of the 12th Scientific Meeting of the Spanish Astronomical Society - Highlights of Spanish Astrophysics IX, SEA 2016, pp. 334-337. Publisher An entity responsible for making the resource available SEA Date A point or period of time associated with an event in the lifecycle of the resource 2016-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088159431&partnerID=40&md5=e0d0007dcdbf1999a5f8054f469ab84a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088159431&partnerID=40&md5=e0d0007dcdbf1999a5f8054f469ab84a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-846178931-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Blanco-Cuaresma S., Observatoire de Gene, Universitde Gene, Versoix, CH-1290, Switzerland; Nordlander T., Dept. of Physics and Astronomy, Uppsala University, Box 516, Uppsala, 75120, Sweden; Heiter U., Dept. of Physics and Astronomy, Uppsala University, Box 516, Uppsala, 75120, Sweden; JofrP., Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge, United Kingdom; Masseron T., Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge, United Kingdom; Casamiquela L., Dep. Fica Qutica i Astrofica, Universitat de Barcelona, ICCUB-IEEC, Spain; Tabernero H.M., Dpto. Astrofica, Facultad de CC. Ficas, Universidad Complutense de Madrid, Spain; Bhat S.S., Christ University, Hosur Road, Bangalore, 560029, India; Casey A.R., Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge, United Kingdom; Meldez J., Dept. de Astronomia do IAG/USP, Universidade de Sao Paulo, Brazil; Ramez I., McDonald Observatory, Dept. of Astronomy, University of Texas, Austin, United States Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource How Offensive is offensive? A Closer Look at Controversial Advertisements Subject The topic of the resource Advertising Standards; Focus Group Discussion; Gender Discrimination; Offense Description An account of the resource We live in a world inundated with messages that seek to promote products varied and eclectic in their feel and purpose. Capitalism has rooted itself in many societies; corporate enterprises enthusiastically advertise their products around the world. Over the years we have had countless advertisements bombard us through our TV sets, newspapers, billboards and now through our smartphones. While attention-grabbing, these advertisements are unfortunately often considered questionable. Rising competition among advertisers for consumer attention has led to the production of advertisements that are increasingly risquand frequently downright offensive. There have been growing concerns about the increasingly low standards of advertisements. Be it excessive sexual content, discrimination on grounds of gender, or propagating regressive philosophies, advertisements seek attention for the wrong reasons. While some advertisements were once downright discriminative towards the female population, things seem to have gradually gotten better over the past few years. However, that is not to say that stereotyping and sexism have been wholly eradicated from advertising; these issues are still prevalent today. Though some consumers watch advertisements through a critical lense and critique unethical advertisements, many offensive and discriminative advertisements have still become widely known and popular among viewers. The present paper seeks to explore the idea of offensiveness in advertisements through an analysis of advertising content on the basis of gender discrimination and stereotypical portrayals of gender. Further, a focused group discussion adds audience perspective to the issue as well. Straddled by Uses and Gratification Theory, Social Responsibility Theory, and Self-Construal Theory, this study attempts to explore the concept of the offensiveness of controversial advertisements and to determine the reasons why an advertisement is deemed offensive. It is never too late to question How Offensive is offensive? 2021 Journal of International Womens Studies. Creator An entity primarily responsible for making the resource DeSouza I.; Naresh S. Source A related resource from which the described resource is derived Journal of International Women's Studies, Vol-22, No. 3, pp. 96-109. Publisher An entity responsible for making the resource available Bridgewater State College 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104718183&partnerID=40&md5=41d6572f12a378587830225f7646b66e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104718183&partnerID=40&md5=41d6572f12a378587830225f7646b66e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15398706 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant DeSouza I., Christ deemed to be University, Bangalore, India; Naresh S., Christ Deemed to be University Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource How safe is the information in this digital era? –A critical review of the status quo / Subject The topic of the resource Cyber Security Description An account of the resource Journal of Management Research And Analysis, Vol.5, Issue 1, pp.5-9, ISSN No: 2394-2770. Creator An entity primarily responsible for making the resource Arcot Purna Prasad Source A related resource from which the described resource is derived <a href="https://www.jmra.in/article-details/6097" target="_blank" title="How safe is the information in this digital era? - A critical review of the status quo" rel="noreferrer noopener">https://www.jmra.in/article-details/6097</a> Publisher An entity responsible for making the resource available Intellect Discover Date A point or period of time associated with an event in the lifecycle of the resource 2018-12-29 Language A language of the resource English Type The nature or genre of the resource Journal Article 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 Newspaper Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource How to create peaceable classrooms Subject The topic of the resource Education, Classrooms Description An account of the resource Peace education doesnt merely involve learning about conflicts and resolving them peacefully; it entails active individual and collective participation in eliminating violence and seeking long-term solutions. Creator An entity primarily responsible for making the resource John J Kennedy Source A related resource from which the described resource is derived Deccan Herald, 26-September-2023 Publisher An entity responsible for making the resource available Deccan Herald Date A point or period of time associated with an event in the lifecycle of the resource 2023-September-26 Identifier An unambiguous reference to the resource within a given context <a href="https://www.deccanherald.com/education/how-to-create-peaceable-classrooms-2700465" target="_blank" rel="noreferrer noopener">https://www.deccanherald.com/education/how-to-create-peaceable-classrooms-2700465</a> Rights Information about rights held in and over the resource Open Access Relation A related resource NA 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 Newspaper Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource How to win back the disgruntled consumer? The omni-channel way Subject The topic of the resource Brand advocacy; Brand disloyalty; Brand loyalty; Omni- channel marketing Description An account of the resource In a conventional wisdom, it was believed that in traditional consumer journey, consumer will engage in an extended consideration and evaluation before entering into the loyalty loop. But with the emergence of online and offline advocacy the modern consumers may skip various traditional phases and may directly enter into loyalty loop. Being well informed and empowered modern-day consumer would wait hardly few seconds before he shifts loyalty to the rival brands. Hence, the retailers and marketers need to deal with well informed and empowered consumers who are disloyal to the core. Therefore, this paper proposes the adoption of Omni-channel marketing as a strategy to deal with disloyal customers. This study is both analytical and theoretical in nature and is based on the secondary data as well as extensive review of literature on the subject. The findings of the study recommend that the adoption of Omni-channel marketing will reduce the loyalty depressing factors and increases the loyalty supporting factors amongst the consumers by creating seamless experience throughout their consumer journey. Therefore, this paper proposes the adoption of Omni channel marketing to retailers, brands and marketers to deal with well informed, empowered and disloyal consumers and to convert them into loyal consumers. 2018, Academy of Business and Retail Management Research. Creator An entity primarily responsible for making the resource Shetty A.S.; Jeevananda S.; Kalghatgi J.R. Source A related resource from which the described resource is derived Journal of Business and Retail Management Research, Vol-12, No. 4, pp. 200-207. Publisher An entity responsible for making the resource available Academy of Business and Retail Management Research Date A point or period of time associated with an event in the lifecycle of the resource 2018-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.24052/jbrmr/v12is04/art-20" target="_blank" rel="noreferrer noopener">https://doi.org/10.24052/jbrmr/v12is04/art-20</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049413717&doi=10.24052%2Fjbrmr%2Fv12is04%2Fart-20&partnerID=40&md5=8ceefb288e559110691e5a50ec73bc8e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85049413717&doi=10.24052%2fjbrmr%2fv12is04%2fart-20&partnerID=40&md5=8ceefb288e559110691e5a50ec73bc8e</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 17518202 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shetty A.S., Institute of Management, Christ University, Bangalore, India; Jeevananda S., Institute of Management, Christ University, Bangalore, India; Kalghatgi J.R., Institute of Management, Christ University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource How to win back the disgruntled consumer? The omni-channel way / Subject The topic of the resource Management Description An account of the resource Journal of Business And Retail Management Research, Vol.12, Issue 4, pp.200-207, ISSN No. 2056-6271. Creator An entity primarily responsible for making the resource A Shivakanth Shetty, Jeevananda S and Jayanth R. Kalghatgi Source A related resource from which the described resource is derived <a href="https://jbrmr.com/details&cid=398" target="_blank" title="How to win back the disgruntled consumer? The omni-channel way" rel="noreferrer noopener">https://jbrmr.com/details&cid=398</a> Publisher An entity responsible for making the resource available Journal of Business And Retail Management Research Date A point or period of time associated with an event in the lifecycle of the resource 2018-12-29 Language A language of the resource English Type The nature or genre of the resource Journal Article Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource How well the log periodic power law works in an emerging stock market? Subject The topic of the resource crashes; Financial bubbles; fit method; log-periodic power law Description An account of the resource A growing body of research work on Log Periodic Power Law (LPPL) tries to predict market bubbles and crashes. Mostly, the fitment parameters remain con?ned within certain specific ranges. This paper examines these claims and the robustness of the reformulated LPPL model of Filimonov & Sornette (2013) for capturing large falls in the S&P BSE Sensex, an Indian heavyweight index over the period 20002019. Thirty-five mid to large-sized crashes are identified during this period, forming a clear LPPL signature. This confirms the possibility to predict the embedded risk of future uncertain events in the Indian stock market with the LPPL approach. 2020 Informa UK Limited, trading as Taylor & Francis Group. Creator An entity primarily responsible for making the resource Ghosh B.; Kenourgios D.; Francis A.; Bhattacharyya S. Source A related resource from which the described resource is derived Applied Economics Letters, Vol-28, No. 14, pp. 1174-1180. Publisher An entity responsible for making the resource available Routledge 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/10.1080/13504851.2020.1803484" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/13504851.2020.1803484</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089174174&doi=10.1080%2F13504851.2020.1803484&partnerID=40&md5=879cdce07e6f4a2ebec57b0670da5da7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089174174&doi=10.1080%2f13504851.2020.1803484&partnerID=40&md5=879cdce07e6f4a2ebec57b0670da5da7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 13504851 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ghosh B., School of Business and Management, Christ University, Bangalore, India; Kenourgios D., Department of Economics UoA Center for Financial Studies, National and Kapodistrian University of Athens, Athens, Greece; Francis A., School of Business and Management, Christ University, Bangalore, India; Bhattacharyya S., Department of Physics, Christ University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource HQA Bot: Hybrid AI Recommender Based Question Answering Chatbot Subject The topic of the resource Artificial Intelligence; Chatbot; Deep Learning; Question Answering System; Recommender System; Reinforcement Learning Description An account of the resource The COVID pandemic has presented a number of challenges for education, particularly when it comes to reaching and engaging students. As a result, online education has become increasingly important, and artificial intelligence (AI) has played a crucial role in supporting this shift. The proposed tutor assistance question-answering system uses AI to automatically generate responses to student questions. This system includes a feedback mechanism, known as a satisfaction index that measures the efficiency of the generated responses and suggest relevant follow-up questions. The proposed Hybrid Recommender-based Dijkstras algorithm (HRD) improves the system's accuracy. This algorithm uses a combination of techniques to group relevant questions based on context, which improves the accuracy of identifying the next relevant question. In our customized dataset, this approach achieved an accuracy of 96% and an average accuracy of 82% across benchmarked datasets. With this system, we aim to bridge the gap between students and education by providing a more engaging and personalized learning experience. 2023, Ismail Saritas. All rights reserved. Creator An entity primarily responsible for making the resource Felicia Lilian J.; Vetriveeran D.; Malini A.; Kayalvizhi S. Source A related resource from which the described resource is derived International Journal of Intelligent Systems and Applications in Engineering, Vol-11, No. 4, pp. 227-233. Publisher An entity responsible for making the resource available Ismail Saritas 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174829348&partnerID=40&md5=83773afb65cbbf88caeeab4e91f9eed0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174829348&partnerID=40&md5=83773afb65cbbf88caeeab4e91f9eed0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21476799 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Felicia Lilian J., Thiagarajar college of Engineering, Madurai, 625015, India; Vetriveeran D., CHRIST University, Bangalore, 560074, India; Malini A., Thiagarajar college of Engineering, Madurai, 625015, India; Kayalvizhi S., SRM Institute of Science and Technology, Chengalpattu, 603203, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Book Faculty Publications- Book 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 HR Analytics in an Era of Rapid Automation Description An account of the resource Human Resources (HR) departments often have significant data sets related to employees and positions within their organizations, but optimizing use of this data can present challenges. As the business world rapidly transforms due to technological advancements, experts within the HR domain must learn to effectively use data to improve workforce performance and assist with strategic decisions. A comprehensive understanding of HR analytics and its multiple levels, ranging from descriptive to perspective, can emphasize how the data can support, track, and monitor employee performance, culture, turnover rate, and absenteeism. HR Analytics in an Era of Rapid Automation is a valuable guide for academics, researchers, and practitioners interested in the latest developments in HR analytics. It covers relevant theories and conceptual models based on quantitative and qualitative findings and emphasizes the importance of utilizing HR analytics for sustainable decision making. With a focus on recruitment analytics, talent acquisition, employee performance analytics, and more, this book provides practical solutions to the challenges facing HR professionals in the rapidly changing business world. By highlighting the value of people and HR analytics for business success, this book offers several solutions for the analysis of challenges facing HR professionals today. 2023 by IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Yadav R.; Sinha M.; Kureethara J.V. Source A related resource from which the described resource is derived HR Analytics in an Era of Rapid Automation, pp. 1-359. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/9781668489420" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/9781668489420</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169520259&doi=10.4018%2F9781668489420&partnerID=40&md5=30573e652e1aee349dfb2a69c32f2ccb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169520259&doi=10.4018%2f9781668489420&partnerID=40&md5=30573e652e1aee349dfb2a69c32f2ccb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166848944-4; 978-166848942-0 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 Book Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Yadav R., CHRIST University, India; Sinha M., CHRIST University, India; Kureethara J.V., CHRIST University, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource HR analytics in employee engagement and turnover Description An account of the resource HR Analytics has expanded increasingly in the last two decades. Nowadays, several Companies use the supremacy of analytics, in gaining a competitive edge over others by recognizing all essentials of the employees. Organizations aim to optimize employee-performance, and hence are making use of HR analytics to drive strategic HR decisions. This study examines the advent of HR analytics by in measuring and improving employee engagement and turnover. Employee engagement analytics stands for exercising the use of data in decision-making process by integrating employee engagement with other HR and non-HR data. Employee engagement analytics is a subsection of workforce-analytics. It has become the standard contemporary system in advanced employee administration and retention. Employee engagement analytics benefits all stakeholders within the organization. 2023, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Jaiwant S.V.; Vazirani K. Source A related resource from which the described resource is derived HR Analytics in an Era of Rapid Automation, pp. 93-111. Publisher An entity responsible for making the resource available IGI Global Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-6684-8942-0.ch007" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-8942-0.ch007</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169526940&doi=10.4018%2F978-1-6684-8942-0.ch007&partnerID=40&md5=5055653af6da9b7de9d2308773522349" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169526940&doi=10.4018%2f978-1-6684-8942-0.ch007&partnerID=40&md5=5055653af6da9b7de9d2308773522349</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166848944-4; 978-166848942-0 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jaiwant S.V., CHRIST University, India; Vazirani K., CHRIST University, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource HR Analytics: An Indispensable Tool for Effective Talent Management Subject The topic of the resource Attrition; HR Analytics; HR metrics; Machine learning; Supervised learning; Talent management Description An account of the resource Business organizations have changed tremendously in the way they visualize the human capital of the organization and make all efforts to create a workforce that is productively engaged and is ready to embrace the challenges posed by uncertainty and turbulence in the business environment. This calls for a decision-making approach that is based on observed people behaviours rather than relying on intuition and gut feel. These observed behaviours are reactions or consequences to stimuli and therefore the science of Human Resource Management can be better understood as predicting these dependent variables based on a set of independent variables. This chapter attempts to present a complete framework of HR analytics in terms of concept, need and how it can add immense value to effective talent management in the organizations. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. Creator An entity primarily responsible for making the resource Arora S.; Upadhyay S. Source A related resource from which the described resource is derived Data-Driven Decision Making, pp. 231-254. Publisher An entity responsible for making the resource available Springer Nature Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-97-2902-9_11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-2902-9_11</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215924903&doi=10.1007%2F978-981-97-2902-9_11&partnerID=40&md5=9f8beb11a768b91b1c54acf4083d2bf7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215924903&doi=10.1007%2f978-981-97-2902-9_11&partnerID=40&md5=9f8beb11a768b91b1c54acf4083d2bf7</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-981972902-9; 978-981972901-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Arora S., Christ University, Ghaziabad, India, I.T.S School of Management, Ghaziabad, India; Upadhyay S., Christ University, 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 Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource HTLML: Hybrid AI Based Model for Detection of Alzheimers Disease Subject The topic of the resource Alzheimers disease; convolutional neural network; deep learning; DenseNet121; DenseNet201; gaussian NB; SVM; XGBoost Description An account of the resource Alzheimers disease (AD) is a degenerative condition of the brain that affects the memory and reasoning abilities of patients. Memory is steadily wiped out by this condition, which gradually affects the brains ability to think, recall, and form intentions. In order to properly identify this disease, a variety of manual imaging modalities including CT, MRI, PET, etc. are being used. These methods, however, are time-consuming and troublesome in the context of early diagnostics. This is why deep learning models have been devised that are less time-intensive, require less high-tech hardware or human interaction, continue to improve in performance, and are useful for the prediction of AD, which can also be verified by experimental results obtained by doctors in medical institutions or health care facilities. In this paper, we propose a hybrid-based AI-based model that includes the combination of both transfer learning (TL) and permutation-based machine learning (ML) voting classifier in terms of two basic phases. In the first phase of implementation, it comprises two TL-based models: namely, DenseNet-121 and Densenet-201 for features extraction, whereas in the second phase of implementation, it carries out three different ML classifiers like SVM, Nae base and XGBoost for classification purposes. The final classifier outcomes are evaluated by means of permutations of the voting mechanism. The proposed model achieved accuracy of 91.75%, specificity of 96.5%, and an F1-score of 90.25. The dataset used for training was obtained from Kaggle and contains 6200 photos, including 896 images classified as mildly demented, 64 images classified as moderately demented, 3200 images classified as non-demented, and 1966 images classified as extremely mildly demented. The results show that the suggested model outperforms current state-of-the-art models. These models could be used to generate therapeutically viable methods for detecting AD in MRI images based on these results for clinical prospective. 2022 by the authors. Creator An entity primarily responsible for making the resource Sharma S.; Gupta S.; Gupta D.; Altameem A.; Saudagar A.K.J.; Poonia R.C.; Nayak S.R. Source A related resource from which the described resource is derived Diagnostics, Vol-12, No. 8 Publisher An entity responsible for making the resource available Multidisciplinary Digital Publishing Institute (MDPI) Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3390/diagnostics12081833" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/diagnostics12081833</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137409992&doi=10.3390%2Fdiagnostics12081833&partnerID=40&md5=680d23a1518edb0ddfde64f60f0bff6d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137409992&doi=10.3390%2fdiagnostics12081833&partnerID=40&md5=680d23a1518edb0ddfde64f60f0bff6d</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: 20754418 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sharma S., Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, 140401, India; Gupta S., Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, 140401, India; Gupta D., Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, 140401, India; Altameem A., Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, 11533, Saudi Arabia; Saudagar A.K.J., Information Systems Department, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India; Nayak S.R., Amity School of Engineering and Technology, Amity University, Uttar Pradesh, Noida, 201301, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Hubble Space Telescope Captures UGC 12591: Bulge/disc properties, star formation and 'missing baryons' census in a very massive and fast-spinning hybrid galaxy Subject The topic of the resource galaxies: individual: UGC12591; galaxies: ISM; galaxies: spiral; Galaxy: formation; Galaxy: fundamental parameters Description An account of the resource We present Hubble Space Telescope ( HST ) observations of the nearby, massive, highly rotating hybrid galaxy UGC 12591, along with observations in the UV to FIR bands. HST data in V , I , and H bands is used to disentangle the structural components. Surface photometry shows a dominance of the bulge o v er the disc with an H-band B / D ratio of 69 per cent . The spectral energy distribution (SED) fitting reveals an extremely low global star formation rate (SFR) of 0 . 1-0 . 2 M yr-1 , exceptionally low for the galaxy's huge stellar mass of 1 . 6 0 11 M, implying a strong quenching of its SFR with a star formation efficiency of 3-5 per cent. For at least the past 10 8 yr, the galaxy has remained in a quiescent state as a sterile, 'red and dead' galaxy. UGC 12591 hosts a supermassive black hole (SMBH) of 6 . 18 0 8 M, which is possibly quiescent at present, i.e. we neither see large (1kpc) radio jets nor the SMBH contributing significantly to the mid-IR SED, ruling out strong radiative feedback of AGN. We obtained a detailed census of all observable baryons with a total mass of 6 . 46 0 11 M within the virial radius, amounting to a baryonic deficiency of 85 per cent relative to the cosmological mean. Only a small fraction of these baryons reside in a warm/hot circumgalactic X-ray halo, while the majority are still unobservable. We discussed various astrophysical scenarios to explain its unusual properties. Our work is a major step forward in understanding the assembly history of such e xtremely massiv e, isolated galaxies. 2022 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society. Creator An entity primarily responsible for making the resource Ray S.; Bagchi J.; Dhiwar S.; Pandge M.B.; Mirakhor M.; Walker S.A.; Mukherjee D. Source A related resource from which the described resource is derived Monthly Notices of the Royal Astronomical Society, Vol-517, No. 1, pp. 99-117. Publisher An entity responsible for making the resource available Oxford University Press Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1093/mnras/stac2683" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/mnras/stac2683</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159212679&doi=10.1093%2Fmnras%2Fstac2683&partnerID=40&md5=19f76244758b79ddfb8a522b8f2ae0ca" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159212679&doi=10.1093%2fmnras%2fstac2683&partnerID=40&md5=19f76244758b79ddfb8a522b8f2ae0ca</a> Rights Information about rights held in and over the resource All Open Access; Green Open Access Relation A related resource ISSN: 358711; CODEN: MNRAA Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ray S., Dayanand Science College, Latur, 413531, India, Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Road, Bengaluru, 560029, India; Bagchi J., Department of Physics and Electronics, CHRIST (Deemed to Be University), Hosur Road, Bengaluru, 560029, India; Dhiwar S., Dayanand Science College, Latur, 413531, India, Inter-University Centre for Astronomy and Astrophysics, Pune, 411007, India, Savitribai Phule Pune University, Pune, 411007, India; Pandge M.B., Dayanand Science College, Latur, 413531, India; Mirakhor M., The University of Alabama in Huntsville, OPB430, Huntsville, 35899, AL, United States; Walker S.A., The University of Alabama in Huntsville, OPB430, Huntsville, 35899, AL, United States; Mukherjee D., Inter-University Centre for Astronomy and Astrophysics, Pune, 411007, 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 HULA: Dynamic and Scalable Load Balancing Mechanism for Data Plane of SDN Subject The topic of the resource Dynamic load bal-ancing; HULA mechanism; P4; Programmable Data-Plane; Scalability Description An account of the resource Multi-rooted topologies are used in large-scale networks to provide greater bisectional bandwidth. These topologies efficiently use a higher degree of multipathing, probing, and link utilization. An end-to-end load balancing strategy is required to use the bisection bandwidth effectively. HULA (Hop-by-hop Utilization-aware Load balancing Architecture) monitors congestion to determine the best path to the destination but, needs to be evaluated in terms of scalability. The authors of this paper through artifact research methodologies, stretch the scalability up to 1000 nodes and further evaluate the performance of HULA on software defined network platform over ONOS controller. A detailed investigation on HULA algorithm is analysed and compared with four proficient large-scale load balancing mechanisms including: connection hash, weighted round-robin, Data Plane Devlopment Kit (DPDK) technique, and a Stateless Application-Aware Load-Balancer (SHELL). 2023 IEEE. Creator An entity primarily responsible for making the resource Kulkarni M.; Goswami B.; Paulose J. Source A related resource from which the described resource is derived 2023 5th International Conference on Electrical, Computer and Communication Technologies, ICECCT 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/ICECCT56650.2023.10179849" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICECCT56650.2023.10179849</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166675272&doi=10.1109%2FICECCT56650.2023.10179849&partnerID=40&md5=89f6b9bc2fc88b9637a78aa984b41b83" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166675272&doi=10.1109%2fICECCT56650.2023.10179849&partnerID=40&md5=89f6b9bc2fc88b9637a78aa984b41b83</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166549360-4 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 Kulkarni M., CHRIST (Deemed to Be University), Bangalore, India; Goswami B., Queensland University of Technology, Brisbane, Australia; Paulose J., 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 Human activity recognition using wearable sensors Subject The topic of the resource Activity recognition; Classification; Machine leaning; Sensors; Wearable computing Description An account of the resource The advancement of the internet coined a new era for inventions. Internet of Things (IoT) is one such example. IoT is being applied in all sectors such as healthcare, automobile, retail industry etc. Out of these, Human Activity Recognition (HAR) has taken much attention in IoT applications. The prediction of human activity efficiently adds multiple advantages in many fields. This research paper proposes a HAR system using the wearable sensor. The performance of this system is analyzed using four publicly available datasets that are collected in a real-time environment. Five machine learning algorithms namely Decision tree (DT), Random Forest (RF), Logistics Regression (LR), K-Nearest Neighbor (kNN), and Support Vector Machine (SVM) are compared in terms of recognition of human activities. Out of this SVM responded well on all four datasets with the accuracy of 77%, 99%, 98%, and 99% respectively. With the support of four datasets, the obtained results proved that the performance of the proposed method is better for human activity recognition. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. Creator An entity primarily responsible for making the resource Joy Rakesh Y.; Kavitha R.; Julian J. Source A related resource from which the described resource is derived Advances in Intelligent Systems and Computing, Vol-1177, pp. 527-538. 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/10.1007/978-981-15-5679-1_51" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-5679-1_51</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091061514&doi=10.1007%2F978-981-15-5679-1_51&partnerID=40&md5=86b5ac4728a2787d3f83db8f32c1e6e6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091061514&doi=10.1007%2f978-981-15-5679-1_51&partnerID=40&md5=86b5ac4728a2787d3f83db8f32c1e6e6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21945357; ISBN: 978-981155678-4 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 Joy Rakesh Y., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, Karnataka, India; Kavitha R., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, Karnataka, India; Julian J., Department of Computer Science, CHRIST (Deemed to Be University), Bangalore, Karnataka, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Human AI: Explainable and responsible models in computer vision Subject The topic of the resource Computer vision and image processing; Explainable AI; Ontology; Responsible AI; Unobtrusive student engagement analysis Description An account of the resource Artificial intelligence (AI) is being used in all areas of information, research, and technology. Allied parts of AI have to be investigated for understanding the association among them. Human and explainable AI (XAI) are a few examples that can help in the development of understandable systems. Posthoc actions and operations are geared toward explainable AI, which investigates what went wrong in a black box setting. Responsible AI, on the other hand, seeks to avoid such blunders in the first ring. Ontology is defined as the study of existence and has several applications in computer science, specifically in platforms such as Resource Description Framework and Web Ontology Language. In this chapter, we examine both parts of the aforementioned AI and attempt to establish a link between ontology and explainable AI as they complement each other in terms of creating trustworthy systems. As part of the chapter, an applicable literature is also brought in, emphasizing the necessity of current understanding in explainable and responsible AI. For illustrating the lineage of input and output operations in relation to ontology characteristics and AI, a scenario of AI implementation using image processing dataset is studied. Classroom learning is an integral element of every student's daily life. Assessing the interest levels of individual pupils would help in enhancing the process of teaching and learning. This work contributes to the process of explainable AI by eliciting algorithms that can extract faces from frames, recognize emotions, conduct studies on engagement levels, and provide a session-wide analysis. Detailed descriptions of these operations, as well as specific parameters, are provided to relate the theme of work. We feel that this collaboration between ontology and explainable AI is unique in that it acts as a springboard for future study in these domains. 2024 Elsevier Inc. All rights reserved. Creator An entity primarily responsible for making the resource Kumar K.P.; Thiruthuvanathan M.M.; K.K. S.; Chandra D.R. Source A related resource from which the described resource is derived Emotional AI and Human-AI Interactions in Social Networking, pp. 237-254. Publisher An entity responsible for making the resource available Elsevier 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/B978-0-443-19096-4.00006-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-443-19096-4.00006-7</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175394272&doi=10.1016%2FB978-0-443-19096-4.00006-7&partnerID=40&md5=7f8db5d299cf6250da2266d8cf7d1c0a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175394272&doi=10.1016%2fB978-0-443-19096-4.00006-7&partnerID=40&md5=7f8db5d299cf6250da2266d8cf7d1c0a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-044319096-4; 978-044319097-1 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumar K.P., Department of Computer Science Engineering, School of Engineering and Technology, CHRIST University, Kengeri Campus, Karnataka, Bangalore, India; Thiruthuvanathan M.M., Department of Computer Science Engineering, School of Engineering and Technology, CHRIST University, Kengeri Campus, Karnataka, Bangalore, India; K.K. S., Department of Computer Science Engineering, School of Engineering and Technology, CHRIST University, Kengeri Campus, Karnataka, Bangalore, India; Chandra D.R., Department of Computer Science Engineering, School of Engineering and Technology, CHRIST University, Kengeri Campus, Karnataka, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Human behavior analysis of BBC-news comments posted on facebook using lexicon-rule based approach Subject The topic of the resource Facebook; Human behavior analysis; Lexicon-rule based analysis; Polarity; Socialfy; VADER Description An account of the resource Today people spend a considerable part of their time on online platforms say, social media than with the real world. Social media, particularly Facebook is the platform for the users to post, share, like, tag and comment any photos and videos. This paper deals with the Facebook platform to study the human behavior based on the comments of five posts from BBC-news Facebook page. For every post in Facebook we can get different opinion or emotional behavior by different users. The behavior of people to the same event need not be similar, they can be different. A response through comments and smileys for a post portrays behaviors of people. Here the behavior analysis is performed on comments of the BBC news Facebook posts. The comments of the post are fetched by the online extractor named Socialfy [12]. This paper considered five news from unique from BBC-news Facebook page. The human behavior analysis performed using Python VADER (Valence Aware Dictionary and Sentiment Reasoner) package. This work uses the Lexicon approach to assign scores for the words and rule-based approach used to find the polarity type of words. The polarity of a post is the sentimental behavior of the people towards the post. The total polarity of this work tends towards neutral so, we could conclude that for each situation behavior of man can take positive or negative poles. 2019, Institute of Advanced Scientific Research, Inc. All rights reserved. Creator An entity primarily responsible for making the resource Mathew C.; Sivakumar R. Source A related resource from which the described resource is derived Journal of Advanced Research in Dynamical and Control Systems, Vol-11, No. 6 Special Issue, pp. 1648-1655. Publisher An entity responsible for making the resource available Institute of Advanced Scientific Research, Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074214570&partnerID=40&md5=8ec5dc61cd5e7125020fea3676a11f0c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85074214570&partnerID=40&md5=8ec5dc61cd5e7125020fea3676a11f0c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1943023X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mathew C., Department of Computer Science, CHRIST (Deemed to be University, Bengaluru, India; Sivakumar R., Department of Computer Science, CHRIST (Deemed to be University, 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 Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Human behavior analysis on political retweets using machine learning algorithms Subject The topic of the resource Computing methodologies; Machine learning algorithms; Opinion mining; Political retweet; Text classification; Twitter Description An account of the resource The exponential rise in the use of social media has resulted in a massive increase in the volume of unstructured text created. This content is presented through messages, conversations, postings, and blogs. Microblogging has become a popular way for people to share what they are thinking. Many people express their thoughts on various issues relating to their hobbies. As a result, microblogging websites have become a valuable resource for opinion mining and sentiment research. Twitter is a well-known microblogging network, with over 500 million new tweets posted daily. The goal of this study was to mine tweets for political sentiments. The extraction of tweets relating to India's well-known political leaders of different states & parties in India and applying the polarity detection analysis of human behavior on the retweeted messages As a result, the sentiment classification algorithm is designed to determine whether tweets are more likely to predict the popularity of certain politicians among the general public. The subjectivity and polarity present in the tweets of political leaders are compared. The engagements of these leaders are then taken into account to determine their popularity. All these comparisons are then portrayed using data visualizations. 2023 The Authors Creator An entity primarily responsible for making the resource Patel H.; Kansara A.; Prathap B.R.; Pradeep Kumar K. Source A related resource from which the described resource is derived Measurement: Sensors, Vol-27 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.measen.2023.100768" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.measen.2023.100768</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159549912&doi=10.1016%2Fj.measen.2023.100768&partnerID=40&md5=0516f247ac6bde0122cef2a57c2c0a1f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85159549912&doi=10.1016%2fj.measen.2023.100768&partnerID=40&md5=0516f247ac6bde0122cef2a57c2c0a1f</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 26659174 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Patel H., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Kansara A., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Prathap B.R., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India; Pradeep Kumar K., Computer Science and Engineering (Specialization in Data Science), Christ University, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Human Body Pose Estimation and Applications Subject The topic of the resource 2D pose estimation; 3D pose estimation; Body modelling; Holistic Pipeline estimation; MediaPipe; Sign language recognition Description An account of the resource Human Pose Estimation is one of the challenging yet broadly researched areas. Pose estimation is required in applications that include human activity detection, fall detection, motion capture in AR/VR, etc. Nevertheless, images and videos are required for every application that captures images using a standard RGB camera, without any external devices. This paper presents a real-time approach for sign language detection and recognition in videos using the Holistic pose estimation method of MediaPipe. This Holistic framework detects the movements of multiple modalities-facial expression, hand gesture and body pose, which is the best for the sign language recognition model. The experiment conducted includes five different signers, signing ten distinct words in a natural background. Two signs, 'blank' and 'sad, ' were best recognized by the model. 2021 IEEE. Creator An entity primarily responsible for making the resource Amrutha K.; 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-PACT52855.2021.9696513" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/i-PACT52855.2021.9696513</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126453325&doi=10.1109%2Fi-PACT52855.2021.9696513&partnerID=40&md5=d7ea29ab5d02bdae574b893dd4d1c6fe" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126453325&doi=10.1109%2fi-PACT52855.2021.9696513&partnerID=40&md5=d7ea29ab5d02bdae574b893dd4d1c6fe</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 Amrutha K., CHRIST (Deemed to Be University), Dept. of Computer Science, Bengaluru, India; Prabu P., CHRIST (Deemed to Be University), Dept. of Computer Science, Bengaluru, India; Paulose J., CHRIST (Deemed to Be University), Dept. of Computer Science, Bengaluru, India