173 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 Decolonising the Gateway of India Subject The topic of the resource Bombay/Mumbai; decolonisation; Gateway of India; history; monuments Description An account of the resource This article interrogates how a colonial monument, the Gateway of India in Mumbai, former Bombay, continues to carry and be endowed with a title that is a misplaced embodiment of Indian social histories. Built in the 1920s, this monument, definitely a work of architectural grandeur, continues to carry its erroneous rendition and confines Indias vast social histories to the colonial moment, with an anglo-centric focus. As the monument symbolises the memory of the colonial regime, it also signifies its oppression as well as its exit from the subcontinent, rather than witnessing anyone coming to India, except King George in 1911, as the monuments title seems to suggest. A mnemonic device of colonialism, this misleading label needs to be seriously revisited, for it not only romanticises the colonial past but also fails to lead our memories back to certain crucial episodes in earlier social histories, from which the monument and its specific place, Mumbai, are more or less fully absent. 2023 The Author(s). Creator An entity primarily responsible for making the resource Kumaramkandath R. Source A related resource from which the described resource is derived South Asia Research, Vol-43, No. 1, pp. 7-17. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1177/02627280221141045" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/02627280221141045</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146069499&doi=10.1177%2F02627280221141045&partnerID=40&md5=cf607ed572e151f11a07450c4783b2de" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146069499&doi=10.1177%2f02627280221141045&partnerID=40&md5=cf607ed572e151f11a07450c4783b2de</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2627280 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 Kumaramkandath R., 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 Decolonizing Open Science: Southern Interventions Subject The topic of the resource Culture-Centered Approach; Data Colonialism; Data Resistance; Data Sovereignty; Data Sovereignty; Decolonization; Global South; Open Science Description An account of the resource Hegemonic Open Science, emergent from the circuits of knowledge production in the Global North and serving the economic interests of platform capitalism, systematically erase the voices of the subaltern margins from the Global South and the Southern margins inhabiting the North. Framed within an overarching emancipatory narrative of creating access for and empowering the margins through data exchanged on the global free market, hegemonic Open Science processes co-opt and erase Southern epistemologies, working to create and reproduce new enclosures of extraction that serve data colonialism-capitalism. In this essay, drawing on our ongoing negotiations of community-led culture-centered advocacy and activist strategies that resist the racist, gendered, and classed structures of neocolonial knowledge production in the metropole in the North, we attend to Southern practices of Openness that radically disrupt the whiteness of hegemonic Open Science. These decolonizing practices foreground data sovereignty, community ownership, and public ownership of knowledge resources as the bases of resistance to the colonial-capitalist interests of hegemonic Open Science. The Author(s) 2021. Creator An entity primarily responsible for making the resource Dutta M.; Ramasubramanian S.; Barrett M.; Elers C.; Sarwatay D.; Raghunath P.; Kaur S.; Dutta D.; Jayan P.; Rahman M.; Tallam E.; Roy S.; Falnikar A.; Johnson G.M.; Mandal I.; Dutta U.; Basnyat I.; Soriano C.; Pavarala V.; Sreekumar T.T.; Ganesh S.; Pandi A.R.; Zapata D. Source A related resource from which the described resource is derived Journal of Communication, Vol-71, No. 5, pp. 803-826. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1093/joc/jqab027" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/joc/jqab027</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125146052&doi=10.1093%2Fjoc%2Fjqab027&partnerID=40&md5=2faeefb3275e809c49d865ed8549dad1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125146052&doi=10.1093%2fjoc%2fjqab027&partnerID=40&md5=2faeefb3275e809c49d865ed8549dad1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 219916 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 Dutta M., Center for Culture-Centered Approach to Research and Evaluation (CARE), School of Communication, Journalism, and Marketing, Massey University, Palmerston North, 4410, Aotearoa, 4442, New Zealand; Ramasubramanian S., Department of Communication, Texas A&M University, College Station, 77843, TX, United States; Barrett M., School of Accountancy, Massey University, Aotearoa, New Zealand; Elers C., Center for Culture-Centered Approach to Research and Evaluation (CARE), School of Communication, Journalism, and Marketing, Massey University, Palmerston North, 4410, Aotearoa, 4442, New Zealand; Sarwatay D., Sarojini Naidu School of Arts and Communication, University of Hyderabad, Hyderabad, 500046, India; Raghunath P., Sarojini Naidu School of Arts and Communication, University of Hyderabad, Hyderabad, 500046, India; Kaur S., Center for Culture-Centered Approach to Research and Evaluation (CARE), School of Communication, Journalism, and Marketing, Massey University, Singapore; Dutta D., School of Communication, Journalism, and Marketing, Massey University, Palmerston North, 4410, Aotearoa, 4442, New Zealand; Jayan P., Center for Culture-Centered Approach to Research and Evaluation (CARE), School of Communication, Journalism, and Marketing, Massey University, Palmerston North, 4410, Aotearoa, 4442, New Zealand; Rahman M., Center for Culture-Centered Approach to Research and Evaluation (CARE), School of Communication, Journalism, and Marketing, Massey University, Palmerston North, 4410, Aotearoa, 4442, New Zealand; Tallam E., Department of Media Studies, University of the Witwatersrand, Johannesburg, South Africa; Roy S., Department of Languages, Cultures and Communication (LCC), Stephen F. Austin State University (SFASU), 75962, TX, United States; Falnikar A., Media Studies, Christ University, Bangalore, India; Johnson G.M.; Mandal I., Center for Culture-Centered Approach to Research and Evaluation (CARE), School of Communication, Journalism, and Marketing, Massey University, Palmerston North, 4410, Aotearoa, 4442, New Zealand, Center for Culture-Centered Approach to Research and Evaluation (CARE), School of Communication, Journalism, and Marketing, Massey University, Kharagpur, India; Dutta U., Hugh Downs School of Communication, Arizona State University, Arizona, United States; Basnyat I., Global Affairs Program, Department of Communication, George Mason University, Fairfax, 22030, VA, United States; Soriano C., Department of Communication, De Lasalle University, Philippines; Pavarala V., Sarojini Naidu School of Arts and Communication, University of Hyderabad, Hyderabad, 500046, India; Sreekumar T.T., Department of Communication, The English and Foreign Languages University, Hyderabad, India; Ganesh S., Communication Studies, Moody College of Communication, The University of Texas at Austin, Austin, TX, United States; Pandi A.R., Center for Culture-Centered Approach to Research and Evaluation (CARE), School of Communication, Journalism, and Marketing, Massey University, Johor Bahru, Malaysia; Zapata D., Center for Culture-Centered Approach to Research and Evaluation (CARE), School of Communication, Journalism, and Marketing, Massey University, Manila, Philippines 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 Decolonizing social psychology in India: Exploring its role as emancipatory social science / Subject The topic of the resource Social Psychology Description An account of the resource Psychology & Society, Vol.8, Issue 1, pp.57-74, ISSN: 2041-5893. Creator An entity primarily responsible for making the resource Sinha, Chetan. Source A related resource from which the described resource is derived <a href="https://psycnet.apa.org/record/2016-45119-004" target="_blank" title="Decolonizing social psychology in India: Exploring its role as emancipatory social science" rel="noreferrer noopener">https://psycnet.apa.org/record/2016-45119-004</a> Publisher An entity responsible for making the resource available University of Cambridge Date A point or period of time associated with an event in the lifecycle of the resource 2016-02-14 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 Decolonizing the Home at Home in the Pandemic: Articulating Women's Experience Description An account of the resource Feminism bears the promise of liberation of and equality for women. Reading and teaching feminist texts, within the academia and in activist spaces, has provided the opportunity to explore what it means to become and be a woman. This article explores the experience of teaching a course on women's writing at the undergraduate level during the COVID-19 pandemic. Normally, a course on feminist writings is an occasion for self-reflection, thereby providing an opportunity to establish a dialogue between the domestic and the public. Such dialogues took place in secure institutional spaces such as classrooms or conference halls, without the intrusion of the domestic. However, as the teacher-student interaction shifted to an online mode during the pandemic, all the participants in this dialogue, including the instructor and the students, found themselves in domestic spaces, with family members listening. The article chronicles the anxieties of a woman instructor, as she teaches feminist texts from home to learners who are sitting behind computer screen in their homes and the possible impact of feminist ideas on the domestic spaces of all participants. 2022 The Author(s). Published by Oxford University Press on behalf of the English Association. All rights reserved. Creator An entity primarily responsible for making the resource Abhaya N.B. Source A related resource from which the described resource is derived English, Vol-70, No. 271, pp. 350-358. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1093/english/efac001" target="_blank" rel="noreferrer noopener">https://doi.org/10.1093/english/efac001</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128129287&doi=10.1093%2Fenglish%2Fefac001&partnerID=40&md5=aa606d6651bf5fa260aecad0ec8bee40" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128129287&doi=10.1093%2fenglish%2fefac001&partnerID=40&md5=aa606d6651bf5fa260aecad0ec8bee40</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 138215 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 Abhaya N.B., 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 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 Decolonizing the Mind: Invoking the Vernacular Experience in a Postcolonial Language Classroom Description An account of the resource This chapter attempts to understand the teaching-learning practices, programmes, courses, and pedagogies of an English department that recently co-opted cultural studies as a means of decolonisation in a private university in India to understand how cultural diversity, learner diversity, teacher experiences, and learner interests became considered factors in language learning pedagogies and selection of learning content. The research will employ mixed methods of qualitative and quantitative techniques of course content analysis, student interviews to gauge the impact of the learning on the decolonisation process, teacher interviews to understand approaches to task design, and the intended outcome and the strategies and perception changes in material production and task development when the learning shifted to the online mode as a result of the pandemic disruption. 2023 by IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Anupama Nayar C.V.; Mathews S.P.; Raghavan S.; Gnanaraj D. Source A related resource from which the described resource is derived Promoting Diversity, Equity, and Inclusion in Language Learning Environments, pp. 240-254. 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/10.4018/978-1-6684-3632-5.ch015" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-3632-5.ch015</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167735130&doi=10.4018%2F978-1-6684-3632-5.ch015&partnerID=40&md5=b0cd2b6583179fa10d9b20aeb2824beb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167735130&doi=10.4018%2f978-1-6684-3632-5.ch015&partnerID=40&md5=b0cd2b6583179fa10d9b20aeb2824beb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166843634-9; 978-166843632-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Anupama Nayar C.V., CHRIST University (Deemed), India; Mathews S.P., Department of English and Cultural Studies, CHRIST University, India; Raghavan S., Christ University, India; Gnanaraj D., CHRIST University (Deemed), 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 Decomposition of graphs into induced paths and cycles Subject The topic of the resource Induced path decomposition; Induced path decomposition number; Path decomposition Description An account of the resource A decomposition of a graph G is a collection ? of subgraphs H1,H2,..., Hr of G such that every edge of G belongs to exactly one Hi. If each Hi is either an induced path or an induced cycle in G, then ? is called an induced path decomposition of G. The minimum cardinality of an induced path decomposition of G is called the induced path decomposition number of G and is denoted by ?i(G). In this paper we initiate a study of this parameter. Creator An entity primarily responsible for making the resource Sahul Hamid I.; Abraham V.M. Source A related resource from which the described resource is derived International Journal of Computational and Mathematical Sciences, Vol-3, No. 7, pp. 311-315. Date A point or period of time associated with an event in the lifecycle of the resource 2009-01-01 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-s2.0-84870011794&partnerID=40&md5=b9094a1cea7b04b5930e2bdf0c047cda" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84870011794&partnerID=40&md5=b9094a1cea7b04b5930e2bdf0c047cda</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 20103913 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 Sahul Hamid I., Department of Mathematics, The Madura College, Madurai-11, India; Abraham V.M., Department of Mathematics, 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 Decomposition of graphs into induced paths and cycles Subject The topic of the resource Induced path decomposition; Induced path decomposition number; Path decomposition Description An account of the resource A decomposition of a graph G is a collection ? of subgraphs H1,H2,...,Hr of G such that every edge of G belongs to exactly one Hi. If each Hi is either an induced path or an induced cycle in G, then ? is called an induced path decomposition of G. The minimum cardinality of an induced path decomposition of G is called the induced path decomposition number of G and is denoted by ?i(G). In this paper we initiate a study of this parameter. Creator An entity primarily responsible for making the resource Sahul Hamid I.; Abraham V.M. Source A related resource from which the described resource is derived World Academy of Science, Engineering and Technology, Vol-35, pp. 545-549. Date A point or period of time associated with an event in the lifecycle of the resource 2009-01-01 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-s2.0-84871147043&partnerID=40&md5=89d8feb43ab25927b682c3f554e40ef0" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84871147043&partnerID=40&md5=89d8feb43ab25927b682c3f554e40ef0</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 20103778 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 Sahul Hamid I., Department of Mathematics, The Madura College, Madurai-11, India; Abraham V.M., Department of Mathematics, Christ University, Bangalore, India https://archives.christuniversity.in/files/original/5e199e77e408b65c5095923dd062f6c8.jpg e07ebeefbf88b5b506b0ce8b0e1e62a4 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 Decomposition of Graphs into Paths and Cycles Subject The topic of the resource Mathematics Description An account of the resource Journal of Discrete Mathematics Vol.2013 Article ID 721051 ISSN No. 2090-9845 Creator An entity primarily responsible for making the resource Abraham V M, I Sahul Hamid, S Arumugam Publisher An entity responsible for making the resource available Journal of Discrete Mathematics Language A language of the resource English https://archives.christuniversity.in/files/original/336087d3c4bb64ce7d45e31e8c9fe453.pdf 8ff3af893eff87e4519b686f43e189f0 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource MPHIL Mphil Mphil Thesis Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Decomposition of Hypercubes Creator An entity primarily responsible for making the resource Roy Annet Date A point or period of time associated with an event in the lifecycle of the resource 2017 Source A related resource from which the described resource is derived Mathematics https://archives.christuniversity.in/files/original/a59580d75be6457ab4ad5a78b404cc67.pdf 88f1ba532c222fe11f1564efb4ec15f5 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 MASTERS Masters' Dissertation Masters Dissertation 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 Deconstruction of representation of working women in Indian femvertisements / Subject The topic of the resource Media Studies Description An account of the resource Femvertisements are advertisements wherein brands use the concepts of feminism, women empowerment etc. These advertisements talk about breaking the stereotypes that women are confined to in our society. The irony comes when these empowering advertisements themselves have hidden stereotypes that invariably end up doing more harm than good. Creator An entity primarily responsible for making the resource Sudhan, Srilaxmi Madhu. - 1537155 Source A related resource from which the described resource is derived Master of Arts in Media and Communication Studies Publisher An entity responsible for making the resource available CHRIST (Deemed To Be University) Date A point or period of time associated with an event in the lifecycle of the resource 2017-02-03 Contributor An entity responsible for making contributions to the resource Department of Media Studies Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Masters Dissertation 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 Decoupling Identification Method of Continuous Working Conditions of Diesel Engines Based on a Graph Self-Attention Network Subject The topic of the resource Decoupling; Diseal Engine; Graph Self-Attention Network (GSAN); Normal and Typical Scenario; Signal Preprocessing; Working Condition Description An account of the resource For diesel engine malfunction detection, machine learning-based intelligent detection approaches have made great strides, but some performance deterioration is also observed due to the significant ambient noise and the change in operating circumstances in the actual application situations. Diesel engine fault diagnostic models can be negatively impacted by complex and erratic working circumstances. Identifying the working condition can provide as a baseline for the current unit operating state, which is crucial information when trying to pinpoint the source of an issue. Many existing techniques for identifying operational states use power as an identifier, segmenting it into discrete intervals from which the current state's power may be derived using a classification model. However, the working condition characteristics should be constant, and defining it exclusively in terms of power would lead to the connection of speed and load elements. In this study, we offer a regular working situation model that is independent of speed and load characteristics, and we use a graph self-attention network to construct a model for identifying the working condition. On a diesel engine research bench, a vast amount of experimental data is acquired for training and testing models, including 32 different operating situations under normal and typical fault scenarios. The R2 adj values of 99.70% and 99.27% for normal and typical defect experimental data, correspondingly, demonstrate the efficacy of the suggested technique under the circumstance of uninformed nnerating situations. 2023 IEEE. Creator An entity primarily responsible for making the resource Vijayasharathi N.; Selukar N.B.; Ganesh Kumar G.; Chauhan A.; Ramachandran L.; Ravindra Sonawane P. Source A related resource from which the described resource is derived 7th International Conference on Electronics, Communication and Aerospace Technology, ICECA 2023 - Proceedings, pp. 49-54. 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/ICECA58529.2023.10394998" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICECA58529.2023.10394998</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186114491&doi=10.1109%2FICECA58529.2023.10394998&partnerID=40&md5=aca8e08490cab75b3074fef0024e217b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186114491&doi=10.1109%2fICECA58529.2023.10394998&partnerID=40&md5=aca8e08490cab75b3074fef0024e217b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034060-0 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 Vijayasharathi N., Panimalar Engineering College, Tamilnadu, Chennai, India; Selukar N.B., SGB Amravati University, Chemical Technology Department, Maharashtra, Amravati, India; Ganesh Kumar G., Kakatiya Institute of Technology and Science, Department of Mechanical Engineering, Telangana, Warangal, India; Chauhan A., Department of life sciences, Christ University Bangalore, Karnataka, India; Ramachandran L., R.M.K.Engineering College, Kavaraipettai, Tamilnadu, Tiruvallur, India; Ravindra Sonawane P., JSPM'S Rajarshi Shahu College of Engineering Tathawade, Mechanical Engineering, Maharashtra, 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 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 Decrypting Free Expression: AMMA-WCC Conflict and Comment Culture Rattling the Malayalam Film Industry Description An account of the resource The chapter examines the gender-power dynamics in the Malayalam film industry through an analysis of a skit, a YouTube video and trolls related to a recent controversy involving the Association of Malayalam Movies Artistes (AMMA) and the Women in Cinema Collective (WCC). This analysis is supported by an exploration of the historical roots of sexism in the industry and a discussion about how it continues to perpetuate sexism in the industry. The study also investigates the emergence of WCC as a response to the actresss molestation case and the subsequent division within the industry. The research focuses on the Sthree Shaktheekaranam skit performed at AMMAs cultural show, a YouTube video, Oru Feminichi Kadha and a sample of trolls which targeted the WCC and women who refuse to comply with AMMAs patriarchal bias. The chapter analyses the content of these representations, highlighting the power play structuring them. The study sheds light on the contradictions and hypocrisy within the industry and its portrayal of progressive values while perpetuating regressive gender norms. 2024 selection and editorial matter, Francis Philip Barclay and Kaifia Ancer Laskar; individual chapters, the contributors. Creator An entity primarily responsible for making the resource Aiyappan A. Source A related resource from which the described resource is derived Gender and Popular Visual Culture in India: Benevolent Sexism and Disguised Discrimination, pp. 179-188. Publisher An entity responsible for making the resource available Taylor and Francis 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/10.4324/9781003434092-20" target="_blank" rel="noreferrer noopener">https://doi.org/10.4324/9781003434092-20</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174771323&doi=10.4324%2F9781003434092-20&partnerID=40&md5=1f7180a7d63752a65f5f90bba836dce5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174771323&doi=10.4324%2f9781003434092-20&partnerID=40&md5=1f7180a7d63752a65f5f90bba836dce5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100099698-2; 978-103256144-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource 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 Aiyappan A., Department of English and Cultural Studies, 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 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 Deducing Water Quality Index (WQI) by Comparative Supervised Machine Learning Regression Techniques for India Region Subject The topic of the resource Biological oxygen demand; Dissolved oxygen; Machine learning; Regression; Supervised; Water Quality Index Description An account of the resource Water quality is of paramount importance for the wellbeing of the society at large. It plays avery important role in maintaining the health of the living being. Several attributes like biological oxygen demand (BOD), power of hydrogen (pH), dissolved oxygen (DO) content, nitrate content (NC) and so on help to identify the appropriateness of the water to be used for different purposes. In this research study, the focus is to deduce the Water Quality Index (WQI) by means of artificial intelligence (AI)-based machine learning (ML) models. Six parameters, namely BOD, DO, pH, NC, total coliform (CO) and electrical conductivity (EC) are used to measure, analyze and predict WQI using nine supervised regression machine learning techniques. Bayesian Ridge regression (BRR) and automatic relevance determination regression (ARD regression) yielded a low mean squared error (MSE) value when compared to other regression techniques. ARD regression model parameters as independent a priori so that non-zero coefficients do not exploit vectors that are not just sparse, but they are dependent. In the estimation process, BRR contains regularization parameters; regularization parameters are not set hard but are adjusted to the relevant data. Due to these reasons, ARD regression and BRR models performed better. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Reddy V.; Balachandran K. Source A related resource from which the described resource is derived Lecture Notes on Data Engineering and Communications Technologies, Vol-114, pp. 727-742. 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-9416-5_54" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9416-5_54</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133700510&doi=10.1007%2F978-981-16-9416-5_54&partnerID=40&md5=9a51942feb217485997895b60710f011" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133700510&doi=10.1007%2f978-981-16-9416-5_54&partnerID=40&md5=9a51942feb217485997895b60710f011</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23674512 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 Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Reddy V., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Balachandran K., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, India Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Deep Belief Network-Based User and Entity Behavior Analytics (UEBA) for Web Applications Subject The topic of the resource Anomaly detection; deep belief network (dbn); federated identity management; user and entity behavior analytics Description An account of the resource Machine learning (ML) is currently a crucial tool in the field of cyber security. Through the identification of patterns, the mapping of cybercrime in real time, and the execution of in-depth penetration tests, ML is able to counter cyber threats and strengthen security infrastructure. Security in any organization depends on monitoring and analyzing user actions and behaviors. Due to the fact that it frequently avoids security precautions and does not trigger any alerts or flags, it is much more challenging to detect than traditional malicious network activity. ML is an important and rapidly developing anomaly detection field in order to protect user security and privacy, a wide range of applications, including various social media platforms, have incorporated cutting-edge techniques to detect anomalies. A social network is a platform where various social groups can interact, express themselves, and share pertinent content. By spreading propaganda, unwelcome messages, false information, fake news, and rumours, as well as by posting harmful links, this social network also encourages deviant behavior. In this research, we introduce Deep Belief Network (DBN) with Triple DES, a hybrid approach to anomaly detection in unbalanced classification. The results show that the DBN-TDES model can typically detect anomalous user behaviors that other models in anomaly detection cannot. 2024 World Scientific Publishing Company. Creator An entity primarily responsible for making the resource Deepa S.; Umamageswari A.; Neelakandan S.; Bhukya H.; Sai Lakshmi Haritha I.V.; Shanbhog M. Source A related resource from which the described resource is derived International Journal of Cooperative Information Systems, Vol-33, No. 2 Publisher An entity responsible for making the resource available World Scientific 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/10.1142/S0218843023500168" target="_blank" rel="noreferrer noopener">https://doi.org/10.1142/S0218843023500168</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187297463&doi=10.1142%2FS0218843023500168&partnerID=40&md5=d95481829b249e3544ecbf7dfc84104e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187297463&doi=10.1142%2fS0218843023500168&partnerID=40&md5=d95481829b249e3544ecbf7dfc84104e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2188430 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 Deepa S., Department of Computer Science and Engineering, Srm Institute of Science and Technology, Ramapuram Campus, Tamil Nadu, Chennai, India; Umamageswari A., Department of Computer Science and Engineering, Srm Institute of Science and Technology, Ramapuram Campus, Tamil Nadu, Chennai, India; Neelakandan S., Department of Computer Science and Engineering, R.M.K Engineering College, Kavaraipettai, Tamil Nadu, Chennai, India; Bhukya H., Department of Computer Science and Engineering (Networks), Kakatiya Institute of Technology and Science, Telangana, Warangal, India; Sai Lakshmi Haritha I.V., Department of Information Technology, Mlr Institute of Technology, Telangana, Hyderabad, India; Shanbhog M., Department of Sciences, Christ (Deemed to Be University), Delhi NCR, Uttar Pradesh, Ghaziabad, 201003, 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 Deep Belief Neural Network for 5G Diabetes Monitoring in Big Data on Edge IoT Subject The topic of the resource 5G; Deep belief neural network; Deep learning; Deep learning; Diabetes diagnosis; PSO; Swarm intelligence Description An account of the resource The diabetes is a critical disease from the small children to old age people. Due to improper diet and physical activities of the living population, obesity becomes prevalent in young generation. If we analyze self care of individual life, no man or women ready to spend their time for health care. It leads to problem like diabetes, blood pressure etc. Today is a busy world were robots and artificial machines ready to take care of human personal needs. Automatic systems help humans to manage their busy schedule. It motivates us to develop a diabetes motoring system for patients using IoT device in their body which monitors their blood sugar level, blood pressure, sport activities, diet plan, oxygen level, ECG data. The data are processed using feature selection algorithm called as particle swarm optimization and transmitted to nearest edge node for processing in 5G networks. Secondly, data are processed using DBN Layer. Thirdly, we share the diagnosed data output through the wireless communication such as LTE/5G to the patients connected through the edge nodes for further medical assistance. The patient wearable devices are connected to the social network. The Result of our proposed system is evaluated with some existing system. Time and Performance outperform than other techniques. 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. Creator An entity primarily responsible for making the resource Venkatachalam K.; Prabu P.; Alluhaidan A.S.; HubovskS.; TrojovskP. Source A related resource from which the described resource is derived Mobile Networks and Applications, Vol-27, No. 3, pp. 1060-1069. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11036-021-01861-y" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11036-021-01861-y</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123301039&doi=10.1007%2Fs11036-021-01861-y&partnerID=40&md5=e091ad025c1795989b532b4cd28f70b6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123301039&doi=10.1007%2fs11036-021-01861-y&partnerID=40&md5=e091ad025c1795989b532b4cd28f70b6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1383469X 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 Venkatachalam K., Department of Applied Cybernetics, Faculty of Science, University of Hradec Krov Hradec Krov 50003, Czech Republic; Prabu P., Department of Computer Sceince, CHRIST (Deemed to be University), Bangalore, 560074, India; Alluhaidan A.S., Department of Information Systems, College of Computer and Information Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia; HubovskS., Department of Applied Cybernetics, Faculty of Science, University of Hradec Krov Hradec Krov 50003, Czech Republic; TrojovskP., Department of Mathematics, Faculty of Science, University of Hradec Krov Hradec Krov 50003, Czech Republic 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 Deep CNN Based Interpolation Filter for High Efficiency Video Coding Subject The topic of the resource Deep CNN; HEVC; MV; SRCNN Description An account of the resource Video coding is a current focus in research area as the world focus more on multimedia transfer. High Efficiency Video Coding (HECV) is prominent among existing one. The interpolation in HEVC with fixed half-pel interpolation filter uses fixed interpolation filter derived from traditional signal processing methods. Some research came up with CNN based interpolation filter too, here we are proposing a deep learning-based interpolation filter to perform interpolation in inter prediction in HEVC. The network extracts the low-resolution image and extract the patch and feature in that to predict a high-resolution image. The network is trained to predict the HR image for the given patch, it can be repeated to generate the full frame in the HEVC. The system uses cleave approach to reduce the computational complexity. The trained network is validated and tested for different inputs. The results show an improvement of 2.38% in BD-bitrate saving for low delay configuration. 2024 IEEE. Creator An entity primarily responsible for making the resource Joy H.K.; Kounte M.R. Source A related resource from which the described resource is derived 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024, pp. 519-524. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IDCIoT59759.2024.10467280" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IDCIoT59759.2024.10467280</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190119176&doi=10.1109%2FIDCIoT59759.2024.10467280&partnerID=40&md5=9be0cee7f27834e4cadffae41d5f503f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190119176&doi=10.1109%2fIDCIoT59759.2024.10467280&partnerID=40&md5=9be0cee7f27834e4cadffae41d5f503f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835032753-3 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 Joy H.K., CHRIST University, Department of Computer Science, Bangaluru, India; Kounte M.R., School of ECE, REVA University, Bangaluru, 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 Deep Convolution Neural Network for RBC Images Description An account of the resource The suggested study's objectives are to develop an unique criterion-based method for classifying RBC pictures and to increase classification accuracy by utilizing Deep Convolutional Neural Networks instead of Conventional CNN Algorithm. Materials and Procedures A dataset-master image dataset of 790 pictures is used to apply Deep Convolutional Neural Network. Convolutional Neural Network and Deep Convolutional Neural Network comparison using deep learning has been suggested and developed to improve classification accuracy of RBC pictures. Using Gpower, the sample size was calculated to be 27 for each group. Results: When compared to Convolutional Neural Network, Deep Convolutional Neural Network had the highest accuracy in classifying blood cell pictures (95.2%) and the lowest mean error (85.8 percent). Between the classifiers, there is a statistically significant difference of p=0.005. The study demonstrates that Deep Convolutional Neural Networks perform more accurately than Conventional Neural Networks while classifying photos of blood cells[1]. 2022 IEEE. Creator An entity primarily responsible for making the resource Jatothu R.; Sireesha A.; Ganesh Kumar R.; Joshi K. Source A related resource from which the described resource is derived Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSES55317.2022.9914363" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSES55317.2022.9914363</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141509644&doi=10.1109%2FICSES55317.2022.9914363&partnerID=40&md5=d65965765f824ef5bb506cb67c2c119f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141509644&doi=10.1109%2fICSES55317.2022.9914363&partnerID=40&md5=d65965765f824ef5bb506cb67c2c119f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547413-9 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 Jatothu R., Teegala Krishna Reddy Engineering College, Department of CSE, Hyderabad, India; Sireesha A., Teegala Krishna Reddy Engineering College, Computer Science and Engineering; Ganesh Kumar R., CHRIST (Deemed to Be University), School of Engineering and Technology, Department of Computer Science and Engineering, Kanminike, Bangalore, 560 074, India; Joshi K., Uttaranchal 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 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 Deep Convolutional Neural Network Driven Interpolation Filter for High Efficiency Video Coding Subject The topic of the resource deep Convolutional Neural Network; High Efficiency Video Coding; motion vectors; Super-Resolution Convolutional Neural Network Description An account of the resource Research in video coding has gained significant importance in recent years, driven by the increasing demand for multimedia transmission. High Efficiency Video Coding (HEVC) has emerged as a prominent standard in this field. Interpolation is a crucial aspect of HEVC, particularly when using fixed half-pel interpolation filters derived from traditional signal processing techniques. In recent times, there has been an exploration of interpolation filters that are based on Convolutional Neural Networks (CNNs). Conventional signal processing techniques are used in traditional HEVC methods to employ fixed half-pel interpolation filters. Recent advancements have delved into the application of Convolutional Neural Networks (CNNs) to enhance interpolation performance. Our proposed method utilises a sophisticated CNN architecture specifically crafted to extract valuable features from low-resolution image patches and accurately predict high-resolution images. The network consists of multiple layers of CNN blocks, which utilise 1 and 3 convolutional kernels to enable efficient and thorough feature extraction through parallel processing. This architecture improves computational efficiency and greatly enhances prediction accuracy The suggested interpolation filter shows a 2.38% enhancement in bitrate savings, as evaluated by the BD-rate metric, specifically in the low delay P configuration. This highlights the potential of deep learning techniques in improving video coding efficiency. 2024 The authors. This article is published by IIETA and is licensed under the CC BY 4.0 license (http://creativecommons.org/licenses/by/4.0/). Creator An entity primarily responsible for making the resource Joy H.K.; Kounte M.R. Source A related resource from which the described resource is derived Mathematical Modelling of Engineering Problems, Vol-11, No. 7, pp. 1989-1995. Publisher An entity responsible for making the resource available International Information and Engineering Technology Association 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/10.18280/mmep.110730" target="_blank" rel="noreferrer noopener">https://doi.org/10.18280/mmep.110730</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200400661&doi=10.18280%2Fmmep.110730&partnerID=40&md5=ff41a91628692ab38273224b549d6c21" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200400661&doi=10.18280%2fmmep.110730&partnerID=40&md5=ff41a91628692ab38273224b549d6c21</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 23690739 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 Joy H.K., Department of Computer Science, CHRIST Deemed to be University, Bengaluru, 560029, India; Kounte M.R., School of ECE, REVA University, Bangaluru, 560064, 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 Deep Convolutional Neural Networks Network with Transfer Learning for Image-Based Malware Analysis Subject The topic of the resource Deep learning; Inception-V3; Malware; ResNet-50; Transfer learning; VGG-16 Description An account of the resource The complexity of classifying malware is high since it may take many forms and is constantly changing. With the help of transfer learning and easy access to massive data, neural networks may be able to easily manage this problem. This exploratory work aspires to swiftly and precisely classify malware shown as grayscale images into their various families. The VGG-16 model, which had already been trained, was used together with a learning algorithm, and the resulting accuracy was 88.40%. Additionally, the Inception-V3 algorithm for classifying malicious images into family members did significantly improve their unique approach when compared with the ResNet-50. The proposed model developed using a convolution neural network outperformed the others and correctly identified malware classification 94.7% of the time. Obtaining an F1-score of 0.93, our model outperformed the industry-standard VGG-16, ResNet-50, and Inception-V3. When VGG-16 was tuned incorrectly, however, it lost many of its parameters and performed poorly. Overall, the malware classification problem is eased by the approach of converting it to images and then classifying the generated images. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Jeyalakshmi V.S.; Krishnan N.; Jayapriya J. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-537 LNNS, pp. 39-51. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-99-3010-4_4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-99-3010-4_4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174717733&doi=10.1007%2F978-981-99-3010-4_4&partnerID=40&md5=2f35f09925da2d2cad67c96b558b2012" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174717733&doi=10.1007%2f978-981-99-3010-4_4&partnerID=40&md5=2f35f09925da2d2cad67c96b558b2012</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981993009-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Jeyalakshmi V.S., Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli, India; Krishnan N., Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli, India; Jayapriya J., Department of Computer Science (YPR Campus), 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 Deep Dive Into Diabetic Retinopathy Identification: A Deep Learning Approach with Blood Vessel Segmentation and Lesion Detection Subject The topic of the resource Deep learning; diabetic retinopathy; hemorrhages; lesions; microaneurysms; soft exudates Description An account of the resource In the landscape of diabetes-related ocular complications, diabetic retinopathy stands as a formidable challenge, reigning as the leading cause of vision impairment worldwide. Despite extensive research, the quest for effective treatments remains an ongoing pursuit. This study explores the burgeoning domain of AI-driven approaches in ocular research, particularly focusing on diabetic retinopathy detection. It delves into various diagnostic methodologies, encompassing the detection of microaneurysms, identification of hemorrhages, and segmentation of blood vessels, primarily utilizing retinal fundus photographs. Our findings juxtapose conventional machine learning techniques against deep neural networks, showcasing the remarkable efficacy of Convolutional neural network (CNN) and Random Forest (RF) in segmenting blood vessels and the robustness of deep learning in lesion identification. As we navigate the quest for clearer vision, artificial intelligence takes center stage, promising a transformative leap forward in the realm of vision care. 2024 River Publishers. Creator An entity primarily responsible for making the resource Upreti K.; Kapoor A.; Hundekari S.; Upreti S.; Kaul K.; Kapoor S.; Tiwari A. Source A related resource from which the described resource is derived Journal of Mobile Multimedia, Vol-20, No. 2, pp. 495-524. Publisher An entity responsible for making the resource available River Publishers 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/10.13052/jmm1550-4646.20210" target="_blank" rel="noreferrer noopener">https://doi.org/10.13052/jmm1550-4646.20210</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195080854&doi=10.13052%2Fjmm1550-4646.20210&partnerID=40&md5=3209980c2ad4abab645518b8af3a7de3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195080854&doi=10.13052%2fjmm1550-4646.20210&partnerID=40&md5=3209980c2ad4abab645518b8af3a7de3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15504646 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 Upreti K., CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India; Kapoor A., Maharaja Surajmal Institute of Technology, Delhi, India; Hundekari S., MIT ADT University, Pune, India; Upreti S., Maharishi Markandeshwar (Deemed to be University), Haryana, Ambala, Mullana, India; Kaul K., Bharati Vidyapeeth College of Engineering, Rohini, India; Kapoor S., Dr. Akhilesh Das Gupta Institute of Technology and Management, New Delhi, India; Tiwari A., CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, India