303 20 16481 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource 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 Confrontations faced by women in higher education institutions and strategies to overcome the anomalies in the mid-career Description An account of the resource Women do succeed in higher positions in the higher education system but only to a certain point, and many women are really motivated by the traditional academic values such as passion to the discipline, pursuit of knowledge, good working environment, and flexibility. Women in higher education .spend the majority of their life at the mid-career stage. Some of them feel wedged, undervalued, and find no motivation to go forward in their mid-career. Hence, the mid-career stage is very much important with women academicians, and they feel there is little support or mentoring. Hence, the mid-career period is increasingly difficult to navigate. Women encounter enormous obstacles in their academic career, including unequal task distribution and balancing caring responsibilities to name a few. The aim of this chapter is to discuss in detail the challenges and obstacles faced by women in their mid-career in higher education and a few strategies to overcome the encounters. 2022, IGI Global. All rights reserved. Creator An entity primarily responsible for making the resource Kaithathara S.T.; John N.; Jose A.; Joshi H.; Gillariose J. Source A related resource from which the described resource is derived Women in Higher Education and the Journey to Mid-Career: Challenges and Opportunities, pp. 52-72. 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/978-1-6684-4451-1.ch004" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-4451-1.ch004</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161539822&doi=10.4018%2F978-1-6684-4451-1.ch004&partnerID=40&md5=9997a29aa46f4dadfe1ec80c76911383" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161539822&doi=10.4018%2f978-1-6684-4451-1.ch004&partnerID=40&md5=9997a29aa46f4dadfe1ec80c76911383</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166844452-8; 978-166844451-1 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 Kaithathara S.T., CHRIST University, India; John N., CHRIST University, India; Jose A., CHRIST University, India; Joshi H., CHRIST University, India; Gillariose J., 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 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 Critical Estimation of CO2Emission Towards Designing a Framework Using BlockChain Technology Subject The topic of the resource automobile industry; blockchain; Carbon footprint Description An account of the resource The automobile industry is a significant global contributor of carbon footprint this industry has impacted climate change, the research explores the existing methods of carbon footprint tracking and creates a framework by applying blockchain technology by connecting all the countries into one system as blockchain carries the capability to do due to its transparency, security and immutability the proposes of decentralised framework for real time tracking quarterly and implementing the necessary policies to mitigate the raising emission. The methodology encompasses of data analysis of using time series analysis globally and focusing certain parts of the world to show the emissions and creating a design that can help us in tracking the carbon footprint making all over the countries around to participate in suggesting to create a pathway for the future generations a better world as advance technologies come into the world for better ways to save the environment. 2024 IEEE. Creator An entity primarily responsible for making the resource Kaivalya G.S.; Subramanian P.; Acharjee P.B.; Rishab Gupta B. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/TQCEBT59414.2024.10545126" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545126</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204502414&doi=10.1109%2FTQCEBT59414.2024.10545126&partnerID=40&md5=c15a6f2affbdd76b1064e21395abefaf" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204502414&doi=10.1109%2fTQCEBT59414.2024.10545126&partnerID=40&md5=c15a6f2affbdd76b1064e21395abefaf</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kaivalya G.S., Dept. of Business and Management, Christ University, India; Subramanian P., Dept. of Business and Management, Christ University, India; Acharjee P.B., Dept. of Computer Science, Christ University, India; Rishab Gupta B., Dept. of Science, 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 Reshaping the Education Sector of Manipur Through Blockchain Subject The topic of the resource Blockchain; Education; Manipur; Sustainable future; Technology Description An account of the resource The use of technology in education has been over a century, yet blockchain is in its nascent stage in education. Over the years, technology has enhanced the teaching-learning method, and blockchain can improve even in the administrative section of education. The states of North East, India, in general, lag behind the rest of Indian states in almost all sectors, and the lack of transparency in the administrative sector significantly contributed to it. If blockchain is incorporated into the education department at the administrative level, it could pave the way for a faster, more transparent, and smoother administration. Given the harsh reality that transportation is hard and expensive, a standardised blockchain can alleviate the need to be physically present for any academic-related activity. The attempt of this study would be to show how blockchain can be beneficially used even at the institutional level, where unabated printing could be reduced and adopting to e-paper be maximised. Besides the educational institutions, the administrative sector in education could profitably use them in offices, thereby avoiding red tape for the common people. The chapter points out how blockchain can be a trailblazer in reshaping the education sector in Manipur. Educational institutions must take the lead towards a sustainable future, and blockchain can aid in bringing some visible change in the educational sector. This chapter uses an interdisciplinary approach to substantiate the importance and need for blockchain in the context of Manipur to change for a sustainable future. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Kaje B.K.; Gangmei N.; Jacob H.D.; Shimray N.A. Source A related resource from which the described resource is derived Signals and Communication Technology, Vol-Part F2283, pp. 167-179. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-49593-9_9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-49593-9_9</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185879604&doi=10.1007%2F978-3-031-49593-9_9&partnerID=40&md5=26fc7eb384d5b1f1f3cd24b06817be6b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185879604&doi=10.1007%2f978-3-031-49593-9_9&partnerID=40&md5=26fc7eb384d5b1f1f3cd24b06817be6b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 18604862 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 Kaje B.K., Christ University, Bangalore, India; Gangmei N., Christ University, Bangalore, India; Jacob H.D., OPJS University, Rajasthan, Churu, India; Shimray N.A., OPJS University, Rajasthan, Churu, 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 Indigenous Beliefs and Practices for Sustainability Among the Mao Nagas Subject The topic of the resource Feast of merit; Natural resources; SDGs; Shifting cultivation; Spiritual realms Description An account of the resource The present society of Mao Nagas is sandwiched between trends to modernity and tendencies to be rooted in the cultural past. Prior to the arrival of Christianity, the Maos were considered animists; the sway of the one Supreme Being, and human relations with nature permeated the social, cultural, and spiritual realm. When the sky represented the father, and the earth, the mother; exploitation becomes inconsequential. Despite the odds of having limited ancestral land, the Maos have proven themselves self-sustainable within the place of habitation. The fact that there are no beggars among the Maos proves that certain aspects of the SDGs are ingrained in the beliefs. The Feast of Merit prevented extreme riches in society. With education, the Mao Nagas learned the harmful effects of shifting cultivation and abandoned its entirety. This paper tries to conceptually prove that if ancient beliefs and practices are tempered with scientific knowledge, life is sustainable. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Kaje B.K.; Thomas K.A. Source A related resource from which the described resource is derived New Approaches to the Scientific Study of Religion, Vol-15, pp. 121-132. Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. 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/10.1007/978-3-031-67360-3_11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-67360-3_11</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204958283&doi=10.1007%2F978-3-031-67360-3_11&partnerID=40&md5=94b474f49f33ed16ff5d18f6861e548f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204958283&doi=10.1007%2f978-3-031-67360-3_11&partnerID=40&md5=94b474f49f33ed16ff5d18f6861e548f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673494 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 Kaje B.K., School of Education, Christ (Deemed to be University), Bangalore, India; Thomas K.A., Centre for Education Beyond Curriculum, 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 Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kaje, Benjamin Kodai; Gangmei, Ningchuiliu; Krelo Peter Kajeo, K. Title A name given to the resource Community Empowerment through Technology Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Smart Technologies for Sustainable Development Goals: Zero Hunger;pp.179-194 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105002518356?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105002518356?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kaje B.K., School of Education, Christ University, Bangalore, India; Gangmei N., School of Education, Christ University, Bangalore, India; Krelo Peter Kajeo K., Department of Political Science, Hill College Tadubi, Senapati District, Manipur, India Description An account of the resource A UN report estimated that 10% of people on the planet will experience chronic hunger by 2022, with a large share of those people coming from rural origins. In Manipur, a Northeastern state of India characterized by hilly terrain and sparse population, predominantly inhabited by Nagas and Kukis tribes, urban migration threatens to exacerbate poverty. Although hunger is not frequent among Nagas at the moment, one cannot rule it out in future. When smart technologies ably support agriculture, it increases production in a sustainable way, thereby reducing hunger among the tribal populace. For this, the government must assist farmers in discouraging environmentally damaging activities like Jhum cultivation and cultivating poppies. For now, tribals have food to eat; nevertheless, future hunger problems could result from a lack of assistance. This research imagines a future where environmental sustainability is maintained while supplying for the requirements of the people of Manipur by giving technology-assisted farming prime importance. By using a participatory observation approach, the authors highlight how urgent it is to stop more ecological deterioration and protect the biodiversity of the area. Ultimately, a balanced ecological future for Manipurs rural and urban inhabitants depends on the adoption of sustainable smart agriculture. 2025 A. Jose Anand and Saravanan Krishnan. Publisher An entity responsible for making the resource available CRC Press Relation A related resource ISBN: 978-104037071-1; 978-103288267-3; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kalaiselvi, K.; Khundongbam, Alex; Steffyn, Kezya; Mangaiyarkarasi, T. Title A name given to the resource Classic Models, Modern Threats: A Study on Adversarial Attack and Defense for Traditional ML Models Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Studies in Systems, Decision and Control;Volume;645;pp.241-258 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-10016-0_20" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-10016-0_20</a> <a href="https://www.scopus.com/pages/publications/105026786951?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105026786951?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kalaiselvi K., Department of Computer Science, Kristu Jayanti University, Bengaluru, India; Khundongbam A., Department of Computer Science, Christ University, Karnataka, Bengaluru, India; Steffyn K., Department of Computer Science, Christ University, Karnataka, Bengaluru, India; Mangaiyarkarasi T., Department of Management, FOM-MBA SRMIST VDP Campus, Chennai, India Description An account of the resource Adversarial attacks are a serious threat to machine learning models, both for conventional architectures, like neural networks, and for more sophisticated frameworks, like Vision Transformers (ViTs). Although a lot of work has been done to defend state-of-the-art deep learning models against attacks like Fast Gradient Sign Method (FGSM), Projected Gradient Descent (PGD), and Gaussian noise perturbations, classical machine learning models like logistic regression, support vector machines (SVMs), and decision trees are relatively less explored despite their extensive use in situations where low computational complexity and high interpretability are needed. This work presents a rigorous evaluation of the adversarial vulnerability of binary and other classical models on the MNIST dataset and explores the effectiveness of various defense mechanisms, including adversarial training, input pre-processing (Gaussian smoothing), and defensive distillation. Experiments demonstrate that adversarial training is the most effective defense that improves model robustness with classification accuracies of up to 96% in all attack scenarios. In contrast, defensive distillation and input preprocessing make modest gains, with accuracy levels ranging from 61 to 81% based on the nature of the attack. Through adversarial threat analysis of typical machine learning models, this work points out their inherent susceptibility to adversarial perturbations and introduces robust defense techniques. These results identify the necessity for robust security and reaffirm the practical viability of typical models in the scenario of resource-constrained environments, contributing towards a more complete picture of adversarial defenses for the entire spectrum of machine learning architectures. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. Subject The topic of the resource Adversarial attacks; Adversarial defense; Computational efficiency; Model Robustness Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 21984182; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Novel Preprocessing Technique to Aid the Detection of Infected Areas of CT Images in COVID-19 Patients Artificial Intelligence (AI) for Communication Systems Subject The topic of the resource Covid-19; CT Images; Image Preprocessing Description An account of the resource An innovative preprocessing method for discerning infected areas in CT images of COVID-19 is described in this abstract. The methodology being suggested exploits the capabilities of artificial intelligence (AI) to improve disease detection communication systems. By employing sophisticated AI algorithms to preprocess CT images, the method seeks to increase the precision and effectiveness of COVID-19-associated area detection. The incorporation of artificial intelligence (AI) into communication systems facilitates enhanced image analysis, resulting in improved diagnostic capabilities and treatment strategizing. The study's findings demonstrate the potential of preprocessing techniques powered by artificial intelligence in augmenting communication systems with the aim of enhancing healthcare outcomes. 2024 IEEE. Creator An entity primarily responsible for making the resource Kalaivani J.; Arunachalam A.S.; Gobinath R. Source A related resource from which the described resource is derived TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/TQCEBT59414.2024.10545304" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/TQCEBT59414.2024.10545304</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204423800&doi=10.1109%2FTQCEBT59414.2024.10545304&partnerID=40&md5=6d03cc60792f4fd070c1b848336afa27" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204423800&doi=10.1109%2fTQCEBT59414.2024.10545304&partnerID=40&md5=6d03cc60792f4fd070c1b848336afa27</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835038427-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kalaivani J., Vels Institute of Science, Technology and Advanced Studies (VISTAS), School of Computing Sciences, Department of Computer Science, Chennai, India; Arunachalam A.S., Vels Institute of Science, Technology and Advanced Studies (VISTAS), School of Computing Sciences, Department of Computer Science, Chennai, India; Gobinath R., Christ University, Department of Computer Science, 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 Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kalaivani, S. Title A name given to the resource A SIGNIFICANT STUDY ON ROBUST MEASURE OF LOCATION PARAMETERS USING DATA DEPTH APPROACHES Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Reliability: Theory and Applications;Volume;20;Issue;1;pp.573-579 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.24412/1932-2321-2025-182-573-579" target="_blank" rel="noreferrer noopener">https://doi.org/10.24412/1932-2321-2025-182-573-579</a> <a href="https://www.scopus.com/pages/publications/105001163827?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001163827?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kalaivani S., Department of Statistics and Data Science, Christ University, Bangalore, India Description An account of the resource Data depth procedures are statistical methods used to measure the centrality or depth of a point within a multivariate dataset. These procedures provide a way to quantify how deep or outlying a point is relative to the overall distribution of the data. This study explores various data depth procedures to find reliable location estimations in cases like with and without outliers. In this paper, various depth procedures, such as Mahalanobis depth, Halfspace depth, Euclidean depth, Simplicial depth, and Projection depth, are studied and compared. The efficiency of these depth functions is evaluated using real datasets and simulation studies with R software. 2025, Gnedenko Forum. All rights reserved. Subject The topic of the resource data depth; inference; outliers; robust procedures Publisher An entity responsible for making the resource available Gnedenko Forum Relation A related resource ISSN: 19322321; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kalappa, Bharath; Upadhyay, Deepika Title A name given to the resource Behavioral Biases in Financial Markets: Understanding the Impact of Cognitive Heuristic-Driven Biases and Emotional Biases in Shaping Investment Decisions Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Behavioral Finance: Strategies for Informed Decision-Making;pp.41-63 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105035819597?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035819597?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kalappa B., Department of Commerce, School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Upadhyay D., Department of Commerce, School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Bengaluru, Karnataka, India Description An account of the resource Conventional finance theories believe that the stock market is organized and that stock valuations provide all relevant facts. On the other hand, behavioral finance theories argue that stock valuations can be affected by behavioral biases, explicitly cognitive heuristic-driven biases and emotional biases. The stock market displays the current wellness of an economy, and investment decisions represent it. Investors unveil irrational actions in their investment decision strategies. The investment decision strategy itself is a cognitive procedure, as stock investors must form decisions informed by several possibilities that are available to them. This chapter provides theoretical underpinnings and an overview of the effect of behavioral biases on investors investment decision-making. This research provides an in-depth insight into cognitive heuristic-driven biases (Illusion of Control, Hindsight, Conservatism, House Money Effect, Self-Attribution, Gamblers Fallacy, Confirmation, Recency, Familiarity, and Religiosity) and emotional biases (Disposition Effect, Loss Aversion, Regret Aversion, Risk Perception, and Mental Accounting) impact investment decisions. The implications of this study could be helpful for financial markets and institutions as well as practitioners, such as equity investors and traders, portfolio and asset managers, securities analysts, wealth advisors, money managers, securities bankers, and brokers. In addition, it benefits regulators, policymakers, academicians, and researchers. The overall chapter offers a positive impact between behavioral biases and investment decisions, with distinct themes from earlier research, and contributes to generalization. Copyright 2026 by Nova Science Publishers, Inc. Subject The topic of the resource behavioral biases; behavioral finance; cognitive heuristic-driven biases; conventional finance; emotional biases; financial markets; investment decisions Publisher An entity responsible for making the resource available Nova Science Publishers, Inc. Relation A related resource ISBN: 979-890134017-2; 979-889530956-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 A fuzzy approach to project team selection Subject The topic of the resource Fuzzy set; Project team selection; Soft set Description An account of the resource Project team selection is a complex process in software engineering. The study uses a multiple criteria decision making (MCDM) approach for the selection of a project team under fuzzy environment. In this paper a FRI, FSS approaches are developed to the selection of project team. 2019, International Journal of Scientific and Technology Research. All rights reserved. Creator An entity primarily responsible for making the resource Kalayathankal S.J.; Abraham J.T.; Kureethara J.V. Source A related resource from which the described resource is derived International Journal of Scientific and Technology Research, Vol-8, No. 9, pp. 1794-1798. Publisher An entity responsible for making the resource available International Journal of Scientific and Technology Research 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-s2.0-85073466042&partnerID=40&md5=2e6ee2da1906d1d9b5709784f6df959e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073466042&partnerID=40&md5=2e6ee2da1906d1d9b5709784f6df959e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 22778616 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 Kalayathankal S.J., Department of Mathematics, K. E. College, Mannanam, Kottayam, 686561, India; Abraham J.T., Department of Computer Science, Bharatha Matha College, Thrikkakara, Cochin, 682021, Kerala, India; Kureethara J.V., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, 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 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 An ordered ideal intuitionistic fuzzy software quality model Subject The topic of the resource Fuzzy multi-criteria decision making; Intuitionistic fuzzy sets; Similarity measure; Software quality attributes Description An account of the resource Software is one of the major factors in the development of computer - based systems and products. Measurement of the software quality is thus the key factor that has to be taken into account while developing a software system. Many software quality models with numerous quality parameters are under use to measure the performance of a software system, on the basis of which the software is valued. This study intends to make available a fuzzy multiple criteria decision making (FMCDM) approach to measure software quality and to propose new similarity measures between ordered ideal intuitionistic fuzzy sets (OIIFSs). The proposed model is applied to five live software projects so as to quantify the software quality of each project under fuzzy environment. IAEME Publication. Creator An entity primarily responsible for making the resource Kalayathankal S.J.; Abraham J.T.; Kureethara J.V. Source A related resource from which the described resource is derived International Journal of Mechanical Engineering and Technology, Vol-8, No. 10, pp. 535-546. Publisher An entity responsible for making the resource available IAEME Publication Date A point or period of time associated with an event in the lifecycle of the resource 2017-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85036540082&partnerID=40&md5=d0f1544414537f59ade53336af24bbab" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85036540082&partnerID=40&md5=d0f1544414537f59ade53336af24bbab</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9766340 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 Kalayathankal S.J., Research and Development Center, Bharathiar University, Coimbatore, Tamil Nadu, India, Kuriakose Elias College, Mannanam, Kottayam, Kerala, India; Abraham J.T., Department of Computer Science, Bharatha Matha College, Thrikkakkara, Kerala, India; Kureethara J.V., Department of Mathematics and Statistics, 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 A fuzzy computing software quality model Description An account of the resource Expectation of the quality of a software varies from user to user. A fuzzy approach to measure the quality of a software is very appropriate so that it can deal with non-crisp aspects of the various parameters. In the proposed model, ordered intuitionistic fuzzy soft sets (OIFSS) and relative similarity measures of OIFSS are considered in the backdrop of fuzzy multiple criteria decision making (FMCDM) approach. 2019 Author(s). Creator An entity primarily responsible for making the resource Kalayathankal S.J.; Abraham J.T.; Kureethara J.V. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-2080 Publisher An entity responsible for making the resource available American Institute of Physics Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1063/1.5092932" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/1.5092932</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063270474&doi=10.1063%2F1.5092932&partnerID=40&md5=75a02680e49862ffe8c5c480b81a82c1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063270474&doi=10.1063%2f1.5092932&partnerID=40&md5=75a02680e49862ffe8c5c480b81a82c1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0094243X; ISBN: 978-073541810-3 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 Kalayathankal S.J., R and D Centre, Bharathiar University, Coimbatore, Tamil Nadu, 641046, India, Kuriakose Elias College, Mannanam, Kerala, 686561, India; Abraham J.T., Bharatha Matha College, Cochin, Kerala, 682021, India; Kureethara J.V., CHRIST (Deemed to Be Univeristy), Bengaluru, Karnataka, 560029, 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 A modified fuzzy approach to prioritize project activities Subject The topic of the resource Activity prioritizing; Fuzzy ranking; Fuzzy soft sets; Fuzzyfication; Project management Description An account of the resource Project management is an important task in business although project is not just confined to business. Due to the uncertainty of the various variables involved in a project, over several past decades research is going on in the search for an efficient project management model. Although numerous crisp models are easily implementable, the potential of fuzzy models are huge. In the case of software development, the variables involved are highly dynamic. In this paper, we propose a ranking based fuzzy model that can prioritize various activities. We use a popular crisp model to test the effectiveness of the fuzzy model proposed. Simulation is done through Java Server Pages (JSP). There is considerable computational and managerial advantage in implementing the fuzzy model. 2018 Authors. Creator An entity primarily responsible for making the resource Kalayathankal S.J.; Kureethara J.V.; Abraham J.T. Source A related resource from which the described resource is derived International Journal of Engineering and Technology(UAE), Vol-7, No. 2, pp. 158-162. Publisher An entity responsible for making the resource available Science Publishing Corporation Inc 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/10.14419/ijet.v7i2.6.10143" target="_blank" rel="noreferrer noopener">https://doi.org/10.14419/ijet.v7i2.6.10143</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044045740&doi=10.14419%2Fijet.v7i2.6.10143&partnerID=40&md5=674396e6b9b8aae32ee8ae7ca592c8c6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044045740&doi=10.14419%2fijet.v7i2.6.10143&partnerID=40&md5=674396e6b9b8aae32ee8ae7ca592c8c6</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 2227524X 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 Kalayathankal S.J., Research and Development Centre, Bharathiar University, Coimbatore, India; Kureethara J.V., CHRIST (Deemed to be University), Bengaluru, India; Abraham J.T., Bharata Mata College, Kochi, 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 A fuzzy soft coronavirus alarm model Subject The topic of the resource Covid-19 prediction; Fuzzy soft MCDM; PRONE index; Self-organization; Swarm intelligence and Covid Description An account of the resource The entire world experienced a rampant outbreak of Covid-19 beginning in December 2019. The spread of this disease was so rapid and aggressive that many developed countries struggled to control it. However, some countries such as China and Australia have done a commendable job of controlling this virus. Various studies have been done in parallel to analyze strategies to curb the spread of the virus. In many locations, people displayed swarm intelligence. The collective behavior of people was mixed. Some people followed the instructions of the health authorities. In addition to the instructions, people in some localities developed self-organization to resist the spreading of the virus. This research work mainly focuses on the prediction of coronavirus spread in different districts of Kerala by use of a fuzzy approach as the fuzzy approach is considered the best tool that would not show imprecise data in any situation. The PRONE (Predicted Risk of New Event) indexing algorithm was used for finding the intensity of the spread in five districts of Kerala (Trivandrum, Ernakulam, Kozhikode, Kannur, and Kasargod) and was evaluated under the input parameters of immunity of person, food habits, financial factors, and age with the total number of infected people as the output variable. An eight-step algorithm is provided to determine the PRONE index. Kasargod is more vulnerable to the virus. The final results show that this proposed model better predicts virus spread. 2024 Elsevier Inc. All rights are reserved including those for text and data mining AI training and similar technologies. Creator An entity primarily responsible for making the resource Kalayathankal S.J.; Sukumaran A.; Kureethara J.V. Source A related resource from which the described resource is derived Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications, pp. 331-341. 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/B978-0-443-15533-8.00015-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/B978-0-443-15533-8.00015-1</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202878134&doi=10.1016%2FB978-0-443-15533-8.00015-1&partnerID=40&md5=25b095e27d388ec87dae35e821982143" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202878134&doi=10.1016%2fB978-0-443-15533-8.00015-1&partnerID=40&md5=25b095e27d388ec87dae35e821982143</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-044315533-8; 978-044315532-1 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 Kalayathankal S.J., Jyothi Engineering College, Cheruthuruthy, Thrissur, India; Sukumaran A., Jyothi Engineering College, Cheruthuruthy, Thrissur, India; Kureethara J.V., Christ 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 Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kalbalia, Pooja; Koushik, Kailash Title A name given to the resource Health Communication as Capability: Gig Workers Freedoms Through Sens Approach Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Howard Journal of Communications; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/10646175.2025.2570753" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/10646175.2025.2570753</a> <a href="https://www.scopus.com/pages/publications/105018816219?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018816219?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kalbalia P., Department of Media Studies, School of Arts and Humanities, CHRIST (Deemed to be University), Bengaluru, India; Koushik K., Department of Media Studies, School of Arts and Humanities, CHRIST (Deemed to be University), Bengaluru, India Description An account of the resource The rapid growth of the gig economy has increased the number of delivery-platform workers, whose precarious employment conditions expose them to health risks while limiting their ability to utilize existing health resources. This article employs Amartya Sens Capability Approach (CA) to reframe the health challenges faced by delivery workers, arguing that critical barrier is not the absence of medical facilities but the lack of communicative capability to access and use them. Within the CA, resources are only meaningful when individuals can convert them into valued functionings. For delivery workers, constraints such as time poverty, lack of paid leave, and informational asymmetries weaken this conversion process. We argue that health communication must be understood as a capability that directly enlarges workers substantive freedoms by equipping them with the knowledge, confidence, and navigational skills needed to make informed health choices. Health communication thereby turns access into utilization, and utilization into well-being. Health communication operates both as a valued function of being informed and able to engage with health systems and as an instrumental freedom that enhances the conversion of existing resources into achieved health outcomes. Recognizing health communication as a capability reshapes policy debates, highlighting the need to invest in service provision and communicative infrastructures that expand workers agency and real opportunities for well-being. 2025 Taylor & Francis Group, LLC. Subject The topic of the resource Agency; capability approach; delivery-platform workers; gig economy; health communication Publisher An entity responsible for making the resource available Routledge Relation A related resource ISSN: 10646175; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kalbalia, Pooja; Koushik, Kailash Title A name given to the resource Driving better health outcomes for gig workers through strategic health initiatives Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Immersive Technology for the Gig Economy: Transformative Business Practices;pp.323-346 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-1290-3.ch0012" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-1290-3.ch0012</a> <a href="https://www.scopus.com/pages/publications/105012662291?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012662291?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kalbalia P., Christ University, India; Koushik K., Christ University, India Description An account of the resource The gig economy offers flexibility and autonomy to workers but also presents significant challenges related to health and well-being, especially for delivery professionals who face irregular hours, physical strain, and limited access to healthcare. Immersive technologies, such as virtual reality (VR), augmented reality (AR), and artificial intelligence (AI), present innovative solutions to bridge these gaps. However, gig workers' adoption of these technologies remains underexplored. This paper applied the diffusion of innovation (DOI) theory to analyse the adoption patterns of immersive technologies within the gig economy and identified barriers, such as digital literacy and cost, alongside facilitators, like perceived usefulness and ease of integration. The paper provides insights into how these technologies can be effectively implemented in the gig workforce. The study highlights the role of platform policies and the broader regulatory landscape in shaping technology adoption, offering valuable recommendations for policymakers and technology developers. 2025 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833731292-7; 979-833731290-3; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kalbalia, Pooja; Koushik, Kailash Title A name given to the resource Regulating the gig economy: Addressing worker rights in India's quick commerce sector Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Sustainability and Adaptability of Gig Economies in Global Business;pp.85-105 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3693-9385-7.ch004" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-9385-7.ch004</a> <a href="https://www.scopus.com/pages/publications/105004871159?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004871159?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kalbalia P., Christ University, India; Koushik K., Christ University, India Description An account of the resource The study examines the regulatory challenges faced by India's fast- growing quick commerce gig economy, with a focus on the rights and protections of workers. It examines the issue of gig workers and implementation gaps in existing frameworks and highlights the vulnerabilities of migrant workers. The study uses thematic analysis to explore aspects such as working conditions, workers' legal awareness, algorithmic management, and gender inclusion in the workforce. Findings reveal regional disparities in working conditions, discrepancies between legal recognition and practical enforcement, and persistent gender- based inequalities. The research underscores the need for tailored, collaborative efforts among various stakeholders to improve the situation of gig workers. This study aims to enhance the understanding of regulatory issues in the quick commerce sector and offers valuable insights for policymakers, platforms, and researchers to improve working conditions and ensure fair treatment for gig workers in India. 2025, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-836939387-1; 979-836939385-7; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library 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 TenzinNet for handwritten Tibetan numeral recognition Subject The topic of the resource Character recognition; Convolutional neural network (CNN); Handwritten digit recognition; Handwritten Tibetan numeral; Machine learning Description An account of the resource Tibet is known for its enumerable collection of Nalanda based Buddhism manuscripts that need to be digitized for immortalization of the teachings of Buddha and various Buddhist scholars. Handwritten Tibetan numeral recognition is relatively unexplored as compared to Roman and Chinese numerals. Recognition of handwritten documents for digitalization has been under study from past many years. This work proposes a novel model using convolutional neural networks architecture named as TenzinNet to recognize handwritten Tibetan numerals. TenzinNet achieved an accuracy of 90.76% in recognizing Tibetan numerals using the proposed model. 2021, Bharati Vidyapeeth's Institute of Computer Applications and Management. Creator An entity primarily responsible for making the resource Kaldan T.; Vijayalakshmi A. Source A related resource from which the described resource is derived International Journal of Information Technology (Singapore), Vol-13, No. 4, pp. 1679-1682. Publisher An entity responsible for making the resource available Springer Science and Business Media B.V. 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/s41870-021-00711-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s41870-021-00711-0</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106401142&doi=10.1007%2Fs41870-021-00711-0&partnerID=40&md5=8b20d3f50f75f471a5ebc73d90a82c47" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85106401142&doi=10.1007%2fs41870-021-00711-0&partnerID=40&md5=8b20d3f50f75f471a5ebc73d90a82c47</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 25112104 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 Kaldan T., Christ University, Bengaluru, India; Vijayalakshmi A., Christ 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 Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kale, Vaishnaw Gorakhnath; Kshirsagar, Pravin Ramdas; Unhelkar, Bhuvan; Chakrabarti, Prasun; Upreti, Kamal; Jain, Rituraj Title A name given to the resource A Comprehensive Review of Advanced Analytics for Predicting HRQoL in Cancer Survivors Using a Synergistic Approach Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 International Conference on Intelligent Control, Computing and Communications, IC3 2025;pp.1345-1350 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/IC363308.2025.10956265" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/IC363308.2025.10956265</a> <a href="https://www.scopus.com/pages/publications/105003904296?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105003904296?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kale V.G., School of Computer Science Engineering and Applications, D. Y. Patil International University, MS, Pune, India; Kshirsagar P.R., J.D College of Engg & Mgmt., Department of Electronics Engineering, MS, Nagpur, India; Unhelkar B., Muma College of Business, University of South Florida, (Sarasota-Manatee Campus), United States; Chakrabarti P., Sir Padampat Singhania University, Department of Computer Science & Engineering, Rajasthan, Udaipur, India; Upreti K., Christ University, Department of Computer Science, Delhi NCR, Ghaziabad, India; Jain R., Marwadi University, Department of Information Technology, Gujarat, Rajkot, India Description An account of the resource This systematic review explores the role applied and emerging methods including AI, Explainable AI and Quantum machine learning techniques in the prediction of Health-Related Quality of Life (HRQoL) of cancer survivors. It also gives possible benefits and limitation of using the advanced analytics to predict the HRQoL. In all, 141 research papers implemented in the last fifteen years with focus between the years 2008 to 2023 are analyzed. For the convenience, this literature review is divided into four primary categories - (i) Artificial intelligence, (ii) Explainable artificial intelligence, (iii) Quantum machine learning, and (iv) Synergistic integration. The third way the present systematic review paper differs from other papers in the domain is that the paper offers a direction of future research. Furthermore, the hypothetical illustration is provided in order to compare outcomes of the synergistic approach with the existing data. Consequently, this analysis provides beneficial insights for further research and development of the synergistic approach in both research and clinical practice. The assessment shows that there is a continued need for research focusing on improving the quality of life of those that survived cancer. 2025 IEEE. Subject The topic of the resource Artificial Intelligence; Cancer Survivorship; Explainable AI; Quantum Machine Learning Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833152749-5; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Kalebar, Rajiv U; Swetha, N.; Divya, U.; Verma, Amit Title A name given to the resource The Executive Copilot: Investigating the Impact of Generative AI Assistants on Strategic Decision-Making, Leadership Efficiency, and Managerial Creativity Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings - 2025 IEEE DELCON: International Conference on Recent Smart Technologies in Engineering for Sustainable Development; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/DELCON68055.2025.11400027" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/DELCON68055.2025.11400027</a> <a href="https://www.scopus.com/pages/publications/105036387219?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105036387219?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kalebar R.U., Christ University, School Of Business And Management, Department Of SBM- Mba, Bengaluru, India; Swetha N., Alliance University, Alliance Ascent College, Department Of General Management, Bengaluru, India; Divya U., Alliance School Of Business, Alliance University, Alliance Ascent College, Bengaluru, India; Verma A., Kalicharan Pg College, Department Of Commerce, Lucknow, India Description An account of the resource The generative artificial intelligence (AI) revolution has given rise to a class of technology - executive copilots that are designed to unclog the brains of overworked managers in the 21st century. This paper examines the effects of generative AI assistants on three intertwined facets of executive performance - strategic decision making, leadership effectiveness, and managerial creativity. Early literature suggests that AI systems could automate administrative tasks and offer data-driven insights; however, we still lack an understanding of their comprehensive impact on executive tasks and outcomes. To bridge this gap, the study uses a multimethod research design, drawing on survey data from 350 senior executives from various firms, controlled experimental studies of strategic problem solving, and in-depth case analysis of firms in finance, consulting, and technology sectors. Results suggest that AI copilots contribute significantly to faster decision-making and creative output by helping to synthesize information and sparking divergent thinking rapidly. Consistent with this, results reveal that a potential 'caveat' of overreliance on AI-generated recommendations might lead to less scrutiny and thus the fragility of the high-stakes decision-making in practice. Theoretically, the study extends the leadership augmentation theory to the context of generative AI. It extends the conceptualization of the executive copilot in terms of a complementary agent that adjusts the boundary of human-machine collaboration. Pragmatically, it has implications for executive education, corporate governance, and the design of responsible AI uptake strategies. Through methodical analysis of opportunities and risks, this study offers a nuanced view of how executive copilots change leadership practice in the era of intelligent augmentation. 2025 IEEE. Subject The topic of the resource Executive Copilot; Executive Training; Generative AI; Human-AI Collaboration; Leadership Efficiency; Managerial Creativity; Strategic Decision-Making Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833155864-2; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library