487
20
16488
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Dublin Core
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Padarha, Shreyansh; Modi, Sakshi; Lekha, J.
Title
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Interconnected Intelligence: Navigating Through Power Quality Checking and Control Using Smart Intelligence-Based Methods
Date
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01-01-2025
Source
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Power Systems;Volume;Part F914;pp.163-183
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<a href="https://doi.org/10.1007/978-3-031-89459-6_9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-89459-6_9</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105018032325?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018032325?origin=resultslist</a>
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Padarha S., School of Sciences, CHRIST University, Maharashtra, Lavasa, India; Modi S., School of Sciences, CHRIST University, Maharashtra, Lavasa, India; Lekha J., School of Sciences, CHRIST University, Maharashtra, Lavasa, India
Description
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Globally, power quality issues incur substantial costs. In the United States, power quality problems contribute to a $150 billion annual cost, covering lost productivity, equipment damage, and safety hazards. Smart intelligence-based methods can potentially cut these costs by up to 50%. In India, power quality disturbances result in a $10 billion annual cost involving equipment damage, productivity losses, and customer dissatisfaction. The adoption of smart intelligence-based power quality methods in India is projected to grow annually by 25% for the next 5years due to increasing grid demands. In todays intricate power landscape, dependable electrical systems are crucial. Power quality disturbances, including voltage variations, harmonics, and flicker, can disrupt sensitive equipment, resulting in financial losses and safety risks. Addressing these challenges, smart intelligence-based methods emerge as promising solutions. This chapter systematically explores the application of artificial intelligence, machine learning, and data analytics for elevated power quality monitoring, assessment, and regulation. Such intelligent approaches optimise power system performance, reduce downtimes, and ensure a consistent supply of high-quality electrical energy. The assimilation of smart intelligence-based methods emerges as a promising avenue to address these challenges effectively. Harnessing the capabilities of these intelligent paradigms empower power systems to attain optimal performance, curtail downtimes, and ensure a steadfast provision of high-grade electrical energy. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
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Artificial intelligence; Machine learning; Power quality; Smart intelligence
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Springer Science and Business Media Deutschland GmbH
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ISSN: 16121287;
Language
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English
Type
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Book chapter
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Restricted Access; Hardcopy may be available in the library
Format
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online
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Leveraging ensemble learning for enhanced security in credit card transaction fraudulent within smart cities for cybersecurity challenges
Subject
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Cyber security; Ensemble learning algorithms; Fraud; Fraud detection; Machine learning; Smart cities
Description
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In the age of digital transactions, credit cards have emerged as a prevalent form of payment in smart cities. However, the surge in online transactions has heightened the challenge of accurately discerning legitimate from fraudulent activities. This paper addresses this crucial concern by introducing a pioneering system for detecting fraudulent credit card transactions, particularly within highly imbalanced datasets, in the realm of cybersecurity. This paper proposes a hybrid model to effectively manage imbalanced data and enhance the detection of fraudulent transactions. This paper emphasizes the efficacy of the hybrid approach in proficiently identifying and mitigating fraudulent activities within highly imbalanced datasets, thereby contributing to the reduction of financial losses for both merchants and customers in smart cities. As cybersecurity in smart cities evolves, this paper underscores the significance of ensemble learning and cross-validation techniques in optimizing credit card transaction analysis and fortifying the security of digital payment systems. 2024, Taru Publications. All rights reserved.
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Padhi B.K.; Chakravarty S.; Naik B.; Nayak S.R.; Poonia R.C.
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Journal of Discrete Mathematical Sciences and Cryptography, Vol-27, No. 4, pp. 1233-1246.
Publisher
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Taru Publications
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.47974/JDMSC-1978" target="_blank" rel="noreferrer noopener">https://doi.org/10.47974/JDMSC-1978</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197740854&doi=10.47974%2FJDMSC-1978&partnerID=40&md5=29845c968f21895411f72513c9cbd593" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197740854&doi=10.47974%2fJDMSC-1978&partnerID=40&md5=29845c968f21895411f72513c9cbd593</a>
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ISSN: 9720529
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Online
Language
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English
Type
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Article
Coverage
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Padhi B.K., Department of Computer Science & Engineering, Centurion University of Technology & Management, Odisha, Bhubaneswar, 761211, India; Chakravarty S., Department of Computer Science & Engineering, Centurion University of Technology & Management, Odisha, Bhubaneswar, 761211, India; Naik B., Department of Computer Application, Veer Surendra Sai University of Technology, Odisha, Burla, 768018, India; Nayak S.R., School of Computer Engineering, KIIT Deemed to be University, Odisha, Bhubaneswar, 751024, India; Poonia R.C., Department of Computer Science, CHRIST (Deemed to be University) Delhi-NCR, Uttar Pradesh, Ghaziabad, 201003, India
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Legal conundrums of space tourism
Subject
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Commercial space tourism; Law; Legal issues; Space tourism; Sustainable development
Description
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Private commercial space tourism carrying passengers to outer space is no longer a distant or far-fetched fantasy, rather it is at verge of becoming an affordable reality with exponential development in space technology including development of Reusable Launch Vehicle (RLV), increasing involvement of private companies like Virgin Galactic, SpaceX, Blue Origin etc. into research and funding of space tourism explorations and applications. It is also receiving huge attention from the public. These developments reflect the infinite possibilities and inevitability of space tourism in near future. However, space tourism may also pose many critical legal issues which must be addressed to ensure the consistent and sustainable development of space tourism, and to secure the rights of all stakeholders involved including operators, passengers, launching State etc. The research paper would highlight the crucial legal issues associated with the space tourism. The paper would critically analyze the efficiency of the present international space treaties in dealing with these issues. At the end, the paper would also attempt to provide few suggestions and solutions to these legal conundrums relating to space tourism. 2021 IAA
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Padhy A.K.; Padhy A.K.
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Acta Astronautica, Vol-184, pp. 269-273.
Publisher
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Elsevier Ltd
Date
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2021-01-01
Identifier
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<a href="https://doi.org/10.1016/j.actaastro.2021.04.024" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.actaastro.2021.04.024</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105698229&doi=10.1016%2Fj.actaastro.2021.04.024&partnerID=40&md5=b3acafe327e218160db38118500a9d1c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105698229&doi=10.1016%2fj.actaastro.2021.04.024&partnerID=40&md5=b3acafe327e218160db38118500a9d1c</a>
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ISSN: 945765; CODEN: AASTC
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Online
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English
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Article
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Padhy A.K., Gujarat National Law University, Attalika Avenue Knowledge Corridor, PDPU Rd, Koba, Gandhinagar, 382426, Gujarat, India, Vellore Institute of Technology, Kelambakkam - Vandular Rd, Rajan Nagar, Chennai, 600127, India; Padhy A.K., CHRIST University, Hosur Rd, Bengaluru, 560029, India, Maharashtra National Law University, 7 Wardha Rd, Nagpur, 441108, India
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Humour as a Moderator Between Hassles and Well-Being
Subject
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Correlation; Hassles; Humour; Moderation analysis; Stress; Well-being
Description
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Humour is a universal phenomenon that offers several physiological and psychological benefits across cultures. The objectives of this study were to examine the relationships between daily hassles, humour and well-being; and to investigate the moderating effect of humour on the relationship between hassles and well-being. A correlational design was adopted to collect data from 644 participants (men = 300, women = 344), aged between 18 and 58years using purposive and snowballing sampling techniques. The Daily Hassles Scale, Sense of Humour Questionnaire (SHQ-R) and the Personal Well-Being IndexAdult (PWI-A) were administered to the sample. The self-report measures were appropriately scored and the collective data were analyzed. Statistical analyses revealed a positive relationship between sense of humour and well-being. A negative relationship was observed between sense of humour and hassles; and between well-being and hassles. Further, sense of humour was found to be moderating the relationship between daily hassles and well-being. This study highlights the role of humour in softening the impact of hassles on the well-being of the Indian population. This strengthens the construct of humour in the context of positive psychology. The Author(s) under exclusive licence to National Academy of Psychology (NAOP) India 2024.
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Padhy M.; Hariharan M.; Mukherjee O.; Mutnury S.L.
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Psychological Studies, Vol-69, No. 3, pp. 286-295.
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Springer
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.1007/s12646-024-00795-1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12646-024-00795-1</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196069650&doi=10.1007%2Fs12646-024-00795-1&partnerID=40&md5=c634c984f71b430102256dccabfbe943" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196069650&doi=10.1007%2fs12646-024-00795-1&partnerID=40&md5=c634c984f71b430102256dccabfbe943</a>
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ISSN: 332968
Format
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Online
Language
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English
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Article
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Padhy M., Centre for Health Psychology, University of Hyderabad, Prof. C.R. Rao Road, Gachibowli, P.O., Telangana, Hyderabad, 500046, India; Hariharan M., Centre for Health Psychology, University of Hyderabad, Prof. C.R. Rao Road, Gachibowli, P.O., Telangana, Hyderabad, 500046, India; Mukherjee O., CHRIST (Deemed to Be University), Delhi NCR, Uttar Pradesh, Ghaziabad, 201003, India; Mutnury S.L., NatFirst Private Limited, Ground Floor, Telangana, Moosapet, Hyderabad, 500018, India
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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A hybrid crypto-compression model for secure brain mri image transmission
Subject
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Chaotic map; Cryptography; DNA encoding; Generative adversarial networks; Security
Description
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Medical image encryption is a major issue in healthcare applications where memory, energy, and computational resources are constrained. The modern technological architecture of digital healthcare systems is, in fact, insufficient to handle both the current and future requirements for data. Security has been raised to the highest priority. By meeting these conditions, the hybrid crypto-compression technique introduced in this study can be used for securing the transfer of healthcare images. The approach consists of two components. In order to construct a cutting-edge generative lossy compression system, we first combine generative adversarial networks (GANs) with oearned compression. As a result, the second phase might address this problem by using highly effective picture cryptography techniques. A randomly generated public key is subjected to the DNA technique. In this application, pseudo-random bits are produced by using a logistic chaotic map algorithm. During the substitution process, an additional layer of security is provided to boost the techniques fault resilience. Our proposed system and security investigations show that the method provides trustworthy and long-lasting encryption and several multidimensional aspects that have been discovered in various public health and healthcare issues. As a result, the recommended hybrid crypto-compression technique may significantly reduce a photos size and remain safe enough to be used for medical image encryption. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.
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Padhy S.; Dash S.; Shankar T.N.; Rachapudi V.; Kumar S.; Nayyar A.
Source
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Multimedia Tools and Applications, Vol-83, No. 8, pp. 24361-24381.
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Springer
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.1007/s11042-023-16359-w" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11042-023-16359-w</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168142738&doi=10.1007%2Fs11042-023-16359-w&partnerID=40&md5=32c193822a33b66f17bd054a98f3a7f6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168142738&doi=10.1007%2fs11042-023-16359-w&partnerID=40&md5=32c193822a33b66f17bd054a98f3a7f6</a>
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ISSN: 13807501; CODEN: MTAPF
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Online
Language
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English
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Article
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Padhy S., School of Computing Science and Engineering, VIT Bhopal University, Bhopal-Indore Highway, Kothrikalan, Madhya Pradesh, Sehore , 466114, India; Dash S., Department of Computer Science and Engineering, GIET University, Odisha, Gunupur, India; Shankar T.N., Department of Computer Engineering and Technology, Dr. Vishwanath Karad MIT World Peace University, Maharashtra, Pune, India; Rachapudi V., Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Andhra Pradesh, Guntur, Vaddeswaram, India; Kumar S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560074, India; Nayyar A., Graduate School, Duy Tan University, Da Nang, Viet Nam, Faculty of Information Technology, Duy Tan University, Da Nang, Viet Nam
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Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Optical design studies for national large optical-IR telescope
Subject
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10-m class telescope; NLOT; segmented mirror telescope; telescope design
Description
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A 1012 m class national large optical-IR telescope (NLOT) is envisaged to meet the growing scientific requirements in astronomy and astrophysics. Telescopes of such dimensions can only be made by segmenting the primary mirror, as it eases a more prominent primary mirrors fabrication, transportation, operation, and maintenance process. This paper presents the various optical designs analyzed for NLOT that can be fabricated using the India TMT Optics Fabrication Facility (ITOFF) at the Centre for Research and Education in Science and Technology (CREST) campus. We present the primary mirror segmentation details, its ideal optical performance, and study each designs advantages and technical complexities. Based on the above analysis, we have narrowed it down to an optimal design, and its performance analysis is also discussed. Indian Academy of Sciences 2024.
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Padikal V.; Hasan A.; Valsan V.; Sriram S.; Kurian A.; Unni V.C.; Basheer A.; Panchal P.; Gopinathan M.; Remya B.S.; Chand T.
Source
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Journal of Astrophysics and Astronomy, Vol-45, No. 1
Publisher
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Springer
Date
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2024-01-01
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<a href="https://doi.org/10.1007/s12036-024-09995-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12036-024-09995-7</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186256269&doi=10.1007%2Fs12036-024-09995-7&partnerID=40&md5=1c7106b78f663e5f22a0ff9499ede9ab" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186256269&doi=10.1007%2fs12036-024-09995-7&partnerID=40&md5=1c7106b78f663e5f22a0ff9499ede9ab</a>
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ISSN: 2506335
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Online
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English
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Article
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Padikal V., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India, Department of Biosciences, Newcastle University, Newcastle, NE1 7RU, United Kingdom; Hasan A., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India, Optics and Photonics Division, Indian Institute of Astrophysics, Koramangala, Bengaluru, 560034, India; Valsan V., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Sriram S., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India, Optics and Photonics Division, Indian Institute of Astrophysics, Koramangala, Bengaluru, 560034, India; Kurian A., Department of Physics and Electronics, Christ University, Bengaluru, 560029, India; Unni V.C., Optics and Photonics Division, Indian Institute of Astrophysics, Koramangala, Bengaluru, 560034, India; Basheer A., Optics and Photonics Division, Indian Institute of Astrophysics, Koramangala, Bengaluru, 560034, India; Panchal P., Optics and Photonics Division, Indian Institute of Astrophysics, Koramangala, Bengaluru, 560034, India; Gopinathan M., Optics and Photonics Division, Indian Institute of Astrophysics, Koramangala, Bengaluru, 560034, India; Remya B.S., Optics and Photonics Division, Indian Institute of Astrophysics, Koramangala, Bengaluru, 560034, India; Chand T., Optics and Photonics Division, Indian Institute of Astrophysics, Koramangala, Bengaluru, 560034, India
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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The role of religious and financial factors in eudaimonic well-being among Indian adults
Subject
The topic of the resource
Eudaimonic well-being; Financial-material stability; Global flourishing study; Religious attendance during childhood; Religious connectedness
Description
An account of the resource
Purpose: The available literature has explored the various psychosocial determinants of well-being to some extent. The earlier works have focused primarily on hedonic well-being with little focus on eudaimonic aspects. Therefore, this study aims to understand the role of parentchild religious attendance during childhood, religious connectedness, and financial-material stability on eudaimonic well-being among adults in India. Design/methodology/approach: The authors used the India data from Global Flourishing Study Wave 1 that addressed flourishing among adults above 18 years. The authors considered 9,076 Indian adults and used descriptive and correlation statistics. In addition, the authors conducted path analysis and t-test. Findings: The likelihood of eudaimonic well-being increased with parentchild religious attendance during childhood (= ?0.044, p < 0.01) along with religious connectedness (= ?0.112, p < 0.01) and financial-material stability (= 0.145, p < 0.01) as an adult. In addition, a significant difference existed in terms of religious connectedness and eudaimonic well-being with income and perceived feelings about income. Originality/value: This study emphasizes financial stabilitys relevance in well-being and suggests the importance of considering religious factors during childhood and adulthood. Emphasizing factors influencing eudaimonic well-being is relevant due to its influence on mental health and quality of life. 2024, Emerald Publishing Limited.
Creator
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Padma Sri Lekha P.; Abdul Azeez E.P.; Sharma J.; John N.K.
Source
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Mental Health and Social Inclusion
Publisher
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Emerald Publishing
Date
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2024-01-01
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<a href="https://doi.org/10.1108/MHSI-08-2024-0147" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/MHSI-08-2024-0147</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207174678&doi=10.1108%2FMHSI-08-2024-0147&partnerID=40&md5=43a0aaee614d5a41c077ac00a9965a60" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207174678&doi=10.1108%2fMHSI-08-2024-0147&partnerID=40&md5=43a0aaee614d5a41c077ac00a9965a60</a>
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ISSN: 20428308
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Online
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English
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Article
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Padma Sri Lekha P., School of Social Sciences and Languages, Vellore Institute of Technology, Vellore, India; Abdul Azeez E.P., School of Social Sciences and Languages, Vellore Institute of Technology, Vellore, India; Sharma J., Chitkara School of Psychology and Counselling, Chitkara University, Rajpura, India; John N.K., Department of Management Studies, Christ University, Bangalore, India
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Faculty Publications
Article
Faculty Publications -Articles
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Padma Sri Lekha, P.; Abdul Azeez, E.P.; Sharma, Jyoti; John, Nijumon K.
Title
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The role of religious and financial factors in eudaimonic well-being among Indian adults
Date
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01-01-2025
Source
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Mental Health and Social Inclusion;Volume;29;Issue;3;pp.266-277
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<a href="https://doi.org/10.1108/MHSI-08-2024-0147" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/MHSI-08-2024-0147</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85207174678?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85207174678?origin=resultslist</a>
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Padma Sri Lekha P., School of Social Sciences and Languages, Vellore Institute of Technology, Vellore, India; Abdul Azeez E.P., School of Social Sciences and Languages, Vellore Institute of Technology, Vellore, India; Sharma J., Chitkara School of Psychology and Counselling, Chitkara University, Rajpura, India; John N.K., Department of Management Studies, Christ University, Bangalore, India
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Purpose: The available literature has explored the various psychosocial determinants of well-being to some extent. The earlier works have focused primarily on hedonic well-being with little focus on eudaimonic aspects. Therefore, this study aims to understand the role of parentchild religious attendance during childhood, religious connectedness, and financial-material stability on eudaimonic well-being among adults in India. Design/methodology/approach: The authors used the India data from Global Flourishing Study Wave 1 that addressed flourishing among adults above 18 years. The authors considered 9,076 Indian adults and used descriptive and correlation statistics. In addition, the authors conducted path analysis and t-test. Findings: The likelihood of eudaimonic well-being increased with parentchild religious attendance during childhood (= ?0.044, p < 0.01) along with religious connectedness (= ?0.112, p < 0.01) and financial-material stability (= 0.145, p < 0.01) as an adult. In addition, a significant difference existed in terms of religious connectedness and eudaimonic well-being with income and perceived feelings about income. Originality/value: This study emphasizes financial stabilitys relevance in well-being and suggests the importance of considering religious factors during childhood and adulthood. Emphasizing factors influencing eudaimonic well-being is relevant due to its influence on mental health and quality of life. 2024, Emerald Publishing Limited.
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Eudaimonic well-being; Financial-material stability; Global flourishing study; Religious attendance during childhood; Religious connectedness
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Emerald Publishing
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ISSN: 20428308;
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English
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Article
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online
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A Model for Detecting Type 2 Diabetes Using Mixed Single-Cell RNA Sequencing with Optimized Data
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AChOA; Gene; Monte Carlo; ODBN; scRNA-seq; Type 2 diabetes
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Diabetes is a critical disease and is crucial to personage agility. Type 2 Diabetes (T2D) accounts for 92% of epithetical cases. This paper proposes an optimized type 2 diabetes detection model using mixed single-cell RNA sequencing (scRNA-seq) technology. Diabetes is a chronic metabolic disorder affecting millions of people worldwide. Early detection of the disease can greatly improve treatment outcomes, but current diagnostic methods have limitations. Our proposed model integrates scRNA-seq data from both human pancreatic beta cells to identify gene expression patterns associated with diabetes. Our study shows that the proposed model is highly accurate in identifying diabetes, achieving an area under the curve (AUC) of 0.98. We employed an optimized model to improve the detection of diabetes at an early stage, leading to better treatment outcomes and an improved quality of life for patients. We initially incorporated optimal features from the dataset using the Monte Carlo (MC) feature selection method. This method helped us to estimate the relative importance (RI) score of each gene or feature, which is then used to rank the features. Further, we proposed an optimized deep belief network (ODBN) as a classification model to classify T2D and non-diabetes. To improve the performance of ODBN, an adaptive chimp optimization algorithm (AChOA) is introduced to optimize the weight parameters and achieved a performance accuracy of 96.57%. 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
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Padmaja K.; Mukhopadhyay D.
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SN Computer Science, Vol-4, No. 6
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Springer
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2023-01-01
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<a href="https://doi.org/10.1007/s42979-023-02215-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42979-023-02215-z</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173921389&doi=10.1007%2Fs42979-023-02215-z&partnerID=40&md5=8b455e35c33da718ba9a467a19992151" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173921389&doi=10.1007%2fs42979-023-02215-z&partnerID=40&md5=8b455e35c33da718ba9a467a19992151</a>
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ISSN: 2662995X
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English
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Article
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Padmaja K., Department of CSE, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Mukhopadhyay D., Department of CSE, CHRIST (Deemed to be University), Karnataka, Bangalore, India
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An Investigation of Complex Interactions Between Genetically Determined Protein Expression and the Metabolic Phenotype of Human Islet Cells Using Deep Learning
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BiLSTM; BLB; Deep learning; EfficientNet B0; eQTL; PIMA; Type 2 diabetes
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The relationship between gene modules and several genome-scale metrics was examined, including heterozygosity that caused type 2 diabetes due to insulin deuteration, differential expression, genotyping association, methylation, and copy number changes. This work investigates the complex relationships between protein expression, genetic polymorphisms, and metabolic properties of human islet cells using expression quantitative trait loci (eQTL) detection. We looked at the genomic, transcriptomic, and proteomic information from islet cells in persons with type 2 diabetes. From the information from different levels, we noticed novel eQTLs that regulate crucial metabolic and signaling pathways in islet cells. Our study highlights the importance of a systems-level approach in understanding the complicated biological processes by highlighting the complexity of the link between genetic variants, protein expression, and metabolic abnormalities using the PIMA Indian dataset. Our findings provide novel insights into the molecular mechanisms behind islet cell failure in type 2 diabetes, potential targets for emerging treatment strategies, and the genomic implications of variations in gene expression, mutations, and other factors. To accomplish this purpose, we proposed a novel BLB model and obtained 99.89%. 2023, The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd.
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Padmaja K.; Mukhopadhyay D.
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SN Computer Science, Vol-4, No. 6
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Springer
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2023-01-01
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<a href="https://doi.org/10.1007/s42979-023-02222-0" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s42979-023-02222-0</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173924022&doi=10.1007%2Fs42979-023-02222-0&partnerID=40&md5=0a303c30e06e88dac7a2e27819f0872b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85173924022&doi=10.1007%2fs42979-023-02222-0&partnerID=40&md5=0a303c30e06e88dac7a2e27819f0872b</a>
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English
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Article
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Padmaja K., Department of CSE, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Mukhopadhyay D., Department of CSE, CHRIST (Deemed to be University), Karnataka, Bangalore, India
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Conference Papers
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An Human Islet Cell RNA-Seq for Genome-Wide Genotype Deepsec Framework Using Deep Learning Based Diabetes Prediction
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CNN; Deep Learning; Diabetes mellitus (DM); ENCODE; epigenomic; FACS; GWAS
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Evaluating the tissues responsible for complicated human illnesses is important to rank significance of genetic revision connected to features. In order to make predictions about the regulatory functions of geneticsvariations athwart wide range of epigenetic changes, this article introduces a Convolutional neural network (CNN) model upgraded filters and Deepsec framework incorporated with comprehensive ENCODE and Roadmap consortia have compiled a human epigenetic map that indicates specificity to certain tissues or cell types. Deepsec framework integrates transcription factors, histone modification markers, and RNA accessibility maps to comprehensively evaluate the consequences of non-coding alterations on the most important components, even for uncommon variations or novel mutations. By using trait-associated loci and more than 30 different human pancreatic islets and their subsets of cells sorted using fluorescence-activated cell sorting, annotations of epigenetic profiling were obtained (FACS) on a genome-wide scale. The proposed model, used '1492' publicly available GWAS datasets. My team presented that deepsec framework does epigenetic annotations found important GWAS associations and uncover regulatory loci from background signals when exposed to CNN-based analysis, offering fresh intuition underlying nadir causes of type 2diabetes. The suggested approaches are anticipated to be extensively used in downstream GWAS analysis, making it possible to assess non-coding variations and conduct downstream GWAS analysis 2023 IEEE.
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Padmaja K.; Mukhopadhyay D.
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2023 International Conference on Network, Multimedia and Information Technology, NMITCON 2023
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Institute of Electrical and Electronics Engineers Inc.
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2023-01-01
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<a href="https://doi.org/10.1109/NMITCON58196.2023.10276014" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/NMITCON58196.2023.10276014</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175398757&doi=10.1109%2FNMITCON58196.2023.10276014&partnerID=40&md5=216f1165d6765a6531806be3dceebc8c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175398757&doi=10.1109%2fNMITCON58196.2023.10276014&partnerID=40&md5=216f1165d6765a6531806be3dceebc8c</a>
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ISBN: 979-835030082-6
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Online
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English
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Conference paper
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Padmaja K., Christ (Deemed to Be University), Department of Cse, Bangalore, India; Mukhopadhyay D., Christ (Deemed to Be University), Department of Cse, Bangalore, India
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Conference Papers
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An Predictive Deep Learning Model is used to Identify Human Tissue-Specific Regulatory Variations For Diabetes
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Deep Learning; Genomic; Insulin; Regulatory; RESNET; T2D; TCF7L2; Tissue
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A predictive deep learning model is designed to predict a target variable based on a set of input variables to diagnose the tissue base regulatory variants in the human islets. In this article, the identification on human tissue-specific regulatory variations for Diabetes using the Pima dataset converting data into images, and then the input variables may include genetic data, gene expression data, and the proposed model uses Pima Indian dataset with the attributes such as age, sex, and BMI to predict whether a person has Diabetes or not. And this dataset is incorporated a combination two layered ResNet18 + ResNet50 and SVM classifier. The results obtained are compared with KNN, Naive bayes, SVM Random Forest, Gradient descent and the accuracy achieved is 98%. 2023 IEEE.
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Padmaja K.; Mukhopadhyay D.
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2023 IEEE 4th Annual Flagship India Council International Subsections Conference: Computational Intelligence and Learning Systems, INDISCON 2023
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Institute of Electrical and Electronics Engineers Inc.
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2023-01-01
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<a href="https://doi.org/10.1109/INDISCON58499.2023.10270496" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/INDISCON58499.2023.10270496</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174854868&doi=10.1109%2FINDISCON58499.2023.10270496&partnerID=40&md5=314f72981e5706fd90fab7b8a261d268" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174854868&doi=10.1109%2fINDISCON58499.2023.10270496&partnerID=40&md5=314f72981e5706fd90fab7b8a261d268</a>
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ISBN: 979-835033355-8
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Online
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English
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Conference paper
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Padmaja K., Christ (Deemed to Be University), Department of Cse, Bangalore, India; Mukhopadhyay D., Christ (Deemed to Be University), Department of Cse, Bangalore, India
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Prognosis of Diabetes Mellitus Paradigm Predictive Techniques
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CART; Dataset; Diabetes; J48; Machine Learning; Matlab; Prediction; Random Forest; Weka
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Human life is in the era of data, when almost everything is straped on to data wellspring more- over entire esse are digitises telerecorded. That is data is generated every milli second through several means like Agriculture, Bioinformatics, Web, Cybersecurity, Smart city data, classified in- formation, pda data, flexibility evidence, medical facts, Covid related data from official state too central government portals and a number of other sources are available in todays technological con- text. There are various forms of data like structured, semi-structured, and unstructured data, text, graphics are all feasible. Every day, week, month new genre natural-world features to be resolved, machine learning adroitness have emerged as problem resolver. As a result, data management tools and analytical methodologies capable of extricate penetrated realization related specifics felicitous methodical manner ceaselessly whereby world of nature enactment rely urgently needed. The vast majority of research is focused on machine learning prediction algorithms; thus, we focus on these. Our evaluation aims to provide newbies to the field, as well as more seasoned readers, with a thorough understanding of the primary approaches and algorithms developed over the previous two decades, with an emphasis on the most notable and continuing work. We also present a new taxonomy of state of the art Model, which highlights the many conceptual and technical approaches to training with labeled and unlabeled data. Finally, we show how the fundamental assumptions underlying most machine learning methods are linked to the well-known assumptions. Grenze Scientific Society, 2023.
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Padmaja K.; Mukhopadhyay D.
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14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023, Vol-2023-June, pp. 2410-2415.
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Grenze Scientific Society
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2023-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174405971&partnerID=40&md5=ca9f75d17a60de7605cae8b048950f27" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174405971&partnerID=40&md5=ca9f75d17a60de7605cae8b048950f27</a>
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Online
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English
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Conference paper
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Padmaja K., CHRIST (Deemed to be University, Department of CSE, Bangalore, India; Mukhopadhyay D., CHRIST (Deemed to be University, Department of CSE, Bangalore, India
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Conference Papers
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Systematic Contemplate Paradigm on Diabetes Mellitus using different Machine Learning Predictive Techniques
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data set; Diabetes Mellitus; Machine Learning; Supervised; support vector machine; Unsupervised
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As the foodies love fast food, from micro to combined families across the world the ratio of family members 1:4 is affected with silent killer named as diabetes. A very high blood glucose levels, metabolism, improper carbohydrate, damaged hormone insulin alleviating a human body disability leading to the silent killer of the body parts is the diabetes. An estimated 425 million of people around the globe suffering with diabetes up to 108 million to 1.7 trillion will be affected with diabetes. Therefore millennium, the universe ubiquity suffering with diabetes has next to quadrupled, growing from 9 percent and above among the people. As the eating habits of people in this trendy 21st century is dramatically devastating to the risk of overweight or obese. The silent killer diabetes consequences include kidney failure, Diabetic retinopathy, Heart attack, Stiffness of body muscles, Nerves stroke and lower limb amputation leads to type I and type II diabetes. As the researchers across the globe are using the machine learning algorithms as the reliable problem solver, The complications still continue. The purpose of this percu is to help with the apt selection of features garnishing with machine learning paradigm techniques in selecting the accurate attributes for each person to be properly diagnosed. In this archetype survey paper, we have done a systematic review chronologically a decade research which will help the researchers to explore and get the contemplate on various tangible and intangible data sets they can adopt in diagnosing the mellitus diabetes. Grenze Scientific Society, 2023.
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Padmaja K.; Mukhopadhyay D.
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14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023, Vol-2023-June, pp. 1768-1775.
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Grenze Scientific Society
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2023-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174401839&partnerID=40&md5=1d81b6aed8b44e953177760b4ca071bb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174401839&partnerID=40&md5=1d81b6aed8b44e953177760b4ca071bb</a>
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Online
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English
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Conference paper
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Padmaja K., CHRIST (Deemed to be University), Department of CSE, Bangalore, India; Mukhopadhyay D., CHRIST (Deemed to be University), Department of CSE, Bangalore, India
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Faculty Publications
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Padmaja, V.; Bhanumathi, P.; Patangia, Bishal
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Equity and inclusion in GenAI innovation: Exploring the challenges and strategies for ensuring equitable access to and benefits from GenAI-driven innovation
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01-01-2025
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The Generative AI Impact: Reframing Innovation in Society 5.0;pp.181-198
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<a href="https://doi.org/10.1108/978-1-83549-105-820251010" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/978-1-83549-105-820251010</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105014307514?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105014307514?origin=resultslist</a>
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Padmaja V., M.S. Ramaiah Institute of Management, India; Bhanumathi P., M.S. Ramaiah Institute of Management, India; Patangia B., Christ University, India
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This chapter examines the critical need for equity and inclusion in the development and deployment of Generative Artificial Intelligence (GenAI) technologies. As GenAI rapidly transforms various sectors, from health care to education, its benefits are not evenly distributed, risking the exacerbation of existing social inequalities leading to a huge digital divide. The chapter explores theoretical frameworks like critical race theory (CRT) and intersectionality to understand how biases embedded in AI systems can perpetuate discrimination. It also highlights the role of open-source platforms and emerging AI initiatives in the Global South in democratizing access to these technologies. Through case studies of companies like Procter & Gamble and Microsoft, the chapter demonstrates both the potential of GenAI to drive innovation and the challenges of integrating AI ethically into global operations. The discussion underscores the importance of deliberate, inclusive strategies to ensure that AI serves as a force for social good, fostering global equity rather than deepening divides. 2025 V. Padmaja, P. Bhanumathi and Bishal Patangia. All rights reserved.
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AI bias; Digital divide; Discrimination; Equity; Generative AI; Inclusion
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Emerald Group Publishing Ltd.
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ISBN: 978-183549105-8; 978-183549106-5;
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English
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Book chapter
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online
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Reviews
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An ecology intervention in an English studies programme: Contexts, Complexities and Choices
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Anthropocentrism; Bioregionalism; Ecocriticism; Ecofeminism; Ecology; Empiricism; English studies; Instrumental rationality
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Over the past few decades, there has been a critical mass gained regarding the need to engage purposefully with Ecology. Unfortunately, this has not provoked any stimulating work within the Humanities and Social Sciences academia. In fact, alongside growing realisations about the necessity to address Ecology, there is a glaring absence of any significant engagement. In response to such a vexing reality, the Department of English at Christ University chose to initiate an Ecological venture within its Honours programme. This paper captures - the vigorous debates it lit up, the tough choices that had to be made, and the promise it offers - that complex journey. 2014 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (Dharmaram Vidya Kshetram, Bangalore).
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Padmakumar M.M.
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Journal of Dharma, Vol-39, No. 1, pp. 7-20.
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Dharmaram College, Centre for the Study of World Religions
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2014-01-01
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<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84942037520&partnerID=40&md5=f3b3cc96c5b5964dcdade86c06da9e13" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84942037520&partnerID=40&md5=f3b3cc96c5b5964dcdade86c06da9e13</a>
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Restricted Access
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ISSN: 2537222
Format
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Online
Language
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English
Type
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Review
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Padmakumar M.M., Department of English, Christ University, India
-
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Padmakumari, P.; Alexander, Ammu Elizabeth
Title
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Stress, immunity, and personality: Mechanisms and interactions
Date
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01-01-2025
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Research Methodologies and Practical Applications in Psychoneuroimmunology;pp.55-76
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<a href="https://doi.org/10.4018/979-8-3693-7432-0.ch004" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3693-7432-0.ch004</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105003245767?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105003245767?origin=resultslist</a>
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Padmakumari P., Christ University, India; Alexander A.E., Christ University, India
Description
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The interaction between personality and immunity is a fascinating area of study that addresses how psychological characteristics can influence mental health. Among the many psychological characteristics, personality patterns play a significant role in shaping how individuals respond to stress and, subsequently, how their immune systems function. This chapter proposes to provide a detailed exploration of the complex interplay between stress and the immune system and its implications on behavior with an emphasis on stress prone and stress resistant personalities. It will delve into the physiological pathways through which stress affects immune function, how different personality types influence stress responses and immune function and discuss the broader implications for health and disease. 2025 by IGI Global Scientific Publishing. All rights reserved.
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IGI Global
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ISBN: 979-836937434-4; 979-836937432-0;
Language
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English
Type
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Book chapter
Rights
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Restricted Access; Hardcopy may be available in the library
Format
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online
-
Dublin Core
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Title
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Padmakumari, P.; Eapen, Jojo Chacko; Kumar, Aneesh; Joshy, Jesline Rose; Neelakandan, Meera; Rajgopal, Greeshma
Title
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Building Character Through Teaching Values: A Positive Youth Development Model for Student Engagement and Development
Date
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01-01-2025
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Developing Student Engagement Opportunities in Higher Education;pp.423-452
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<a href="https://doi.org/10.4018/979-8-3373-0644-5.ch015" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-0644-5.ch015</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105016030284?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105016030284?origin=resultslist</a>
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Padmakumari P., Christ University, India; Eapen J.C., Christ University, India; Kumar A., Christ University, India; Joshy J.R., Christ University, India; Neelakandan M., Christ University, India; Rajgopal G., Christ University, India
Description
An account of the resource
Character development is a fundamental aspect of whole person education, fostering ethical responsibility, resilience, and social-emotional competence in students. This chapter explores the role of teaching values as a cornerstone of Positive Youth Development (PYD), emphasizing how structured engagement in academic, extracurricular, and community activities shapes students' moral and personal growth. Grounded in PYD theory, this chapter presents a framework for integrating valuesbased education within higher educational institutions, highlighting key strategies such as mentorship, service learning, and student leadership. By cultivating essential virtues like respect, integrity, and empathy, educators can enhance student engagement, promote civic responsibility, and contribute to a thriving society. 2026 by IGI Global Scientific Publishing. All rights reserved.
Publisher
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IGI Global
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ISBN: 979-833730646-9; 979-833730644-5;
Language
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English
Type
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Book chapter
Rights
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Restricted Access; Hardcopy may be available in the library
Format
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online
-
Dublin Core
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Title
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Articles
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Faculty Publications -Articles
Dublin Core
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Title
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Emotional Intelligence and General Well-Being Among Middle Aged People
Subject
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Psychology
Description
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International Journal of Research in Social Sciences, Vol-2 (4), pp. 454-471. ISSN-2249-2496
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Padmakumari, Prativadi Radha
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International Journal of Research in Social Sciences
Date
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2012
Language
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English
-
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
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Creator
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Padmalal, S.; Arumugam, P.; Baby Anusha, M.; Bamane, Kalyan Devappa; Yamsani, Nagendar; Muppavaram, Kireet
Title
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Machine Learning for Early Detection of Chronic Diseases: A Case Study in Diabetes Prediction
Date
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01-01-2026
Source
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Machine Learning in Healthcare: Data-Driven Decisions, Predictive Modelling, Personalized Medicine;pp.1771-192
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<a href="https://doi.org/10.1515/9783111541235-009" target="_blank" rel="noreferrer noopener">https://doi.org/10.1515/9783111541235-009</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105028340536?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028340536?origin=resultslist</a>
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Padmalal S., Department of Computer Science and Engineering, Mangalam College of Engineering, Ettumanoor, India; Arumugam P., Department of statistics, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, Abishekapatti, 627012, India; Baby Anusha M., Department Of CSE, Lakireddy Bali Reddy College of Engineering, Krishna, Andhra Pradesh, Mylavaram, 521230, India; Bamane K.D., Department of Computer Engineering, D.Y. Patil College of Engineering, Pune, Akurdi, India; Yamsani N., School of Computer Science and Artificial Intelligence, SR University, Telangana, Warangal, 506371, India; Muppavaram K., Deemed to be University, Hyderabad, India
Description
An account of the resource
Early detection of chronic diseases like diabetes is very important for early treatment and effective management. This chapter describes a machine learning (ML) solution for predicting diabetes risk from clinical structured data and a case study is constructed on the PIMA Indian Diabetes dataset. The solution caters to the entire ML pipeline: problem formulation, preprocessing of data, feature selection (FS), model training, validation, and deployment issues. Different preprocessing techniques including missing value imputation, detection of outliers, and feature normalization were used for improving data quality. FS techniques like correlation analysis, recursive feature elimination, and selection based on domain knowledge were utilized to decrease the dimensionality of the data as well as model interpretability. Extensive comparison was conducted among widely used classification models like logistic regression (LR), random forest, support vector machine, and XGBoost. It was suggested to adopt a stacked ensemble model of LR, RF, SVM, and XGBoost that achieved better performance in terms of accuracy, precision, recall, and F1-score. The findings confirm the tremendous potential of ML to enable early diabetes diagnosis as an unobtrusive, data-driven, and scalable decision-making supporting system for physicians. This is the groundwork for the further development of clinically applicable artificial intelligence-based prediction models within real-world healthcare settings. 2026 Walter de Gruyter GmbH, Berlin/Boston, Genthiner Stra 13, 10785 Berlin.
Subject
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Diabetic prediction; Logistic regression; Machine learning; Random forest; Stacked ensemble model; Support vector machine; XGBoost
Publisher
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De Gruyter
Relation
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ISBN: 978-311154123-5; 978-311154107-5;
Language
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English
Type
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Book chapter
Rights
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Restricted Access; Hardcopy may be available in the library
Format
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online