464
20
16488
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Faculty Publications
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Namboothiri, V S Manasi; Veeresha, P.; Sherly, K.
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A novel mathematical investigation of carbon emissions, economic growth, carbon taxation and renewable energy dynamics: stability analysis and forecasting
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01-01-2025
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Pramana - Journal of Physics;Volume;99;Issue;4;Article No.;155;
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<a href="https://doi.org/10.1007/s12043-025-03027-x" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12043-025-03027-x</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105022684473?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105022684473?origin=resultslist</a>
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Namboothiri V.S.M., Centre for Mathematical Needs, Department of Mathematics, CHRIST University, Bengaluru, 560 029, India; Veeresha P., Centre for Mathematical Needs, Department of Mathematics, CHRIST University, Bengaluru, 560 029, India; Sherly K., Centre for Mathematical Needs, Department of Mathematics, CHRIST University, Bengaluru, 560 029, India
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The main cause of global warming is carbon dioxide (CO2) emissions, acting as a significant greenhouse gas. These emissions stem from various sources and significantly contribute to climate change. Fortunately, we have countermeasures like carbon taxes to curb CO2 output. Carbon taxes incentivise a reduction in CO2 production and a shift towards cleaner energy sources by placing a cost on emissions. This paper investigates the interplay between carbon tax policy, carbon emissions, economic output (GDP) and renewable energy consumption. A system of differential equations is constructed to model these relationships based on a comprehensive literature review. Parameter estimation based on real-world data yielded successful fits for the variables. However, the fit for the carbon tax equation is less conclusive, suggesting a more complex relationship with carbon emissions. Stability analysis and the boundedness of the system are carried out. Auto-regressive integrated moving average (ARIMA) forecasting is employed to predict future trends. The results suggest a projected increase in GDP and renewable energy consumption over the next ten years, indicating a potential for a cleaner energy transition. Furthermore, the forecasts anticipate a rise in carbon tax implementation. This analysis emphasises how important carbon taxes are for cutting emissions and advancing renewable energy. Results indicate that carbon taxes can promote decarbonisation and economic growth, despite the complicated link between them and CO2 emissions. Both GDP growth and the use of renewable energy are anticipated to increase. However, policies must be improved to combat climate change effectively. Future studies should improve parameters and investigate other relevant elements to promote a low-carbon future. Indian Academy of Sciences 2025.
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02.30.Hq 02.60.Lj; 04.20.Ex; auto-regressive integrated moving average; boundedness; carbon emission; carbon tax; GDP; Mathematical modelling; renewable energy consumption
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Springer
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ISSN: 3044289; CODEN: PRAMC
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English
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Article
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Restricted Access; Hardcopy may be available in the library
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online
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Conference Papers
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Integrating AI and Cybersecurity: Advancing Autonomous Vehicle Security and Response Mechanisms
Subject
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AI integration; Dynamic response mechanisms; Risk mitigation; Vehicle security operation centers
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The rapid evolution of autonomous and connected vehicles has led to their integration with numerous technologies and software, rendering them vulnerable targets for cybersecurity attacks. While efforts have traditionally focused on preventing these attacks, the escalating risk underscores the importance of also vindicating their wallop. Nevertheless, this procedure is often onerous & facade scalability confronted, particularly due to connectivity issues in automobiles. This research advises a vehicle-based vibrant imposition response scheme, enabling swift responses to a variety of incidents and reducing reliance on external security centers. The classification encompasses an inclusive range of probable retorts, a procedure for evaluating retorts, & innumerable assortment approaches. Implemented on an embedded platform, the solution was evaluated using two distinct cyberattack use cases, highlighting its adaptability, responsiveness, volume for dynamic arrangement constraint alterations & nominal memory trail. Concurrently, this paper presents an innovative (AVSF) that synergistically integrates (AI) and cybersecurity techniques to fortify AV resilience against evolving threats. Additionally, the framework incorporates advanced cybersecurity measures such as encryption, authentication, and intrusion detection to mitigate vulnerabilities and safeguard critical AV systems. The fusion of AI and cybersecurity not only enhances AV security posture but also enables intelligent cyber threat monitoring and response capabilities. Extensive simulations and experimental evaluations demonstrate the efficacy of the AVSF in real-time scenarios, contributing to the development of robust security solutions for autonomous vehicle deployment and advancing safer transportation systems in the era of AI-driven mobility. 2024 IEEE.
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Namburi V.L.; Adapa S.R.; Chamala S.S.K.; Yerram M.; Gupta P.; Upreti K.
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2024 International Conference on Emerging Trends in Networks and Computer Communications, ETNCC 2024 - Proceedings, pp. 253-258.
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Institute of Electrical and Electronics Engineers Inc.
Date
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2024-01-01
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<a href="https://doi.org/10.1109/ETNCC63262.2024.10767464" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ETNCC63262.2024.10767464</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214649304&doi=10.1109%2FETNCC63262.2024.10767464&partnerID=40&md5=aad695f88ab578c41a11cb076c0cb861" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214649304&doi=10.1109%2fETNCC63262.2024.10767464&partnerID=40&md5=aad695f88ab578c41a11cb076c0cb861</a>
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ISBN: 979-835035326-6
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Online
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English
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Conference paper
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Namburi V.L., Software Systems Engineer Danlaw Inc, MI, United States; Adapa S.R., Software Engineer OpenLogix LLC, MI, United States; Chamala S.S.K., Software Developer Software Bots Inc, MI, United States; Yerram M., Computer Science with IOT VNRVJIET, Hyderabad, India; Gupta P., Computer Science Engineering ADGIPS, Delhi, India; Upreti K., Dept. of Computer Science, Christ University, Delhi NCR Campus, India
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Title
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Articles
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Faculty Publications -Articles
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Continuity and changes in food consumption pattern among Tibetan refugee community in India
Subject
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Dietary intake; Food Continuity; Food insecurity; Health; Nutrition
Description
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The Food consumption pattern of refugee communities is being carried out by many scholars and few acknowledged the food continuity, its implications on the health of refugees in the host country. The present study highlights food continuity among Tibetan refugees in the Bylakuppe settlement, India. 200 household data were administered to understand food consumption patterns by employing a structured household questionnaire. Simultaneously, 23 individual data were collected consisting of first migrants (15) and second-generation (8) for the qualitative study. Households derive energy mainly from carbohydrates and animal fats, and there is a prevalence of food insecurity among the Tibetan community. It is a proven fact that food insecurity will have serious health consequences in terms of emotional and mental well-being and suggest the need for further study of food insecurity among Tibetan refugees across the world. 2021
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Namgha T.; Ganesh L.; Jyotishi A.
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Future of Food: Journal on Food, Agriculture and Society, Vol-9, No. 3, pp. 1-11.
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University of Kassel
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2021-01-01
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<a href="https://doi.org/10.17170/kobra-202102163264" target="_blank" rel="noreferrer noopener">https://doi.org/10.17170/kobra-202102163264</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120324883&doi=10.17170%2Fkobra-202102163264&partnerID=40&md5=ce97d501cab34a050989541141e7272b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120324883&doi=10.17170%2fkobra-202102163264&partnerID=40&md5=ce97d501cab34a050989541141e7272b</a>
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ISSN: 2197411X
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Online
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English
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Article
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Namgha T., Dalai Lama Institute for Higher Education, Affiliated to Bengaluru University; Ganesh L., School of Business and Management CHRIST, Deemed to be University, Hosur Road, Bangalore, 560029; Jyotishi A., School of Development, Azim Premji University, Bangalore, India
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Title
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Articles
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Faculty Publications -Articles
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Influence of remittances oncapital endowment of Tibetan refugees in India
Subject
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India; Livelihood; Migration; Remittances; Tibetan refugees
Description
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Purpose: An issue concerning Tibetan refugees in India is the poverty and unemployment among Tibetan youth. This often leads to households adopting a strategy of sending one of its members abroad towards North American or European countries in search of better income opportunities. Incomes in the form of remittances from these forward migrants have numerous impacts on living standard of left behind families. This study aims to focus on the influence of forward migrants remittances on livelihood in terms of human, financial and social capital development of Tibetan refugees in India. Design/methodology/approach: The paper includes 400 households from high-economic and low-economic-access regions of Tibetan settlements in India. Ordinary least square method was used to study these impacts. Findings: Findings show that remittances have significantly influenced human and financial capital development. However, it was found to be statistically not significant for social capital development. Originality/value: The present paper is original work. 2019, Emerald Publishing Limited.
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Namgha T.; Ganesh L.; Jyotishi A.
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International Journal of Development Issues, Vol-18, No. 3, pp. 290-309.
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Emerald Group Holdings Ltd.
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2019-01-01
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<a href="https://doi.org/10.1108/IJDI-01-2019-0014" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/IJDI-01-2019-0014</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067068873&doi=10.1108%2FIJDI-01-2019-0014&partnerID=40&md5=a57aca469d68d93df2b5f0f192795a7a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067068873&doi=10.1108%2fIJDI-01-2019-0014&partnerID=40&md5=a57aca469d68d93df2b5f0f192795a7a</a>
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ISSN: 14468956
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Online
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English
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Article
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Namgha T., Dalai Lama Institute for Higher Education, Bengaluru, India; Ganesh L., Institute of Management, Christ (Deemed to be the University), Bengaluru, India; Jyotishi A., School of Business, Amrita Vishwa Vidyapeetham, Coimbatore, India
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https://archives.christuniversity.in/files/original/cccf067fe3045e630fdfbd0d427b59fe.pdf
f49ab494b3572257b035d09332927c1a
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Faculty Publications -Articles
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A study on socio-economics impact of remittances on forward migrants household of the Tibetan refugees in India /
Subject
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Economics
Description
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Migration and Development is an agenda of every country’s economic policy in recent time. Migration has been linked to the flow of remittances influencing socio-economic development particularly of developing countries. Studies on remittances have also reflected its positive side having potential effect at all levels including micro (households), macro (country) and meso (community) levels. The existing literature on remittance manifested the prominent role of remittance in enhancing livelihood of receiving households. Empirical study conducted on developing economies concluded that households receiving remittances are better off than those of non-receiving households.
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Namgha, Tenzin - 1041801
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CHRIST (Deemed to be University)
Language
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English
Type
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PhD
-
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61000030
Title
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A study on socio-economic impact of remittances on forward migrants household of tibetan refugees in india
Subject
The topic of the resource
Economics
Description
An account of the resource
Migration and Development is an agenda of every country s economic policy in recent time. Migration has been linked to the flow of remittances influencing socio-economic development particularly of developing countries. Studies on remittances have also reflected its positive side having potential effect at all levels including micro (households), macro (country) and meso newline(community) levels.The existing literature on remittance manifested the prominent role of remittance in enhancing livelihood of receiving households. Empirical study conducted on developing economies concluded that households receiving remittances are better off than those of non-receiving newlinehouseholds. International remittance has a direct role on household s economy by raising newlinehousehold s standard of living. Remittances were used for household consumption activities including education, health, housing, accumulating assets leading to human capital development. Likewise, literature pointed out the potential role of remittance inducing investment in business and entrepreneurship development by employing households in becoming self-reliant. Further, remittance improves trust and network within households and community which indirectly helps poor in the community. Thus, it is evident from the previous literature that newlineremittances have enhanced human and financial and social capital development. However, the existing literature lacks information on remittance affecting livelihood in Tibetan newlinecontext. Hence, there is a need of in-depth study in this area of research which is latent and unexplored. In this study, it has made an attempt to understand the role of remittance on Tibetan refugee communities in India who rely on remittance as one of the major sources of income. The study focuses on the impact of remittances from forward migrants who migrated from India towards newlinewestern and European countries. They send remittances back home leading to socio-economic development in the country of origin.
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Namgha,Tenzin
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Author's Submission
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Christ(Deemed to be University)
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2016-01-01
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L, Ganesh
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Open Access
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PDF
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English
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PhD
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<a href="http://hdl.handle.net/10603/342898" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/342898</a>
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Privacy-preserving federated learning in healthcare: Fundamentals, state of the art and prospective research directions
Subject
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Architecture; Collaborative learning; Federated Learning; Health care; Privacy Preservation
Description
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Recent collaborations in medical diagnostic systems are based on data private collaborative learning using Federated Learning (FL). In this approach, multiple organizations train a machine-learning model at the same time eventually leading to global model generation. This paper reviews the fundamentals of FL and its evolution path in Healthcare. The objective of this review is to scope a wide variety of healthcare applications in FL. Exactly what research direction is moving in interesting for research communities to guide their future course. This review uniquely focuses on examining numerous FL-based healthcare implementations, detailing their core methodologies and performance metrics, which, to our knowledge, have not been previously available. Privacy-preserving collaborative distributed learning through federated learning in healthcare enhances research collaborations, thereby resulting in better-performing models. This comprehensive review will act as a valuable reference for researchers exploring new FL applications in the healthcare domain. 2024 IEEE.
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Namitha T.N.; Raghavendra S.; Vinith R.
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2024 IEEE 3rd World Conference on Applied Intelligence and Computing, AIC 2024, pp. 1438-1443.
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Date
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2024-01-01
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<a href="https://doi.org/10.1109/AIC61668.2024.10730929" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AIC61668.2024.10730929</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210231969&doi=10.1109%2FAIC61668.2024.10730929&partnerID=40&md5=98e86c7df937a22aea610003596951bb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85210231969&doi=10.1109%2fAIC61668.2024.10730929&partnerID=40&md5=98e86c7df937a22aea610003596951bb</a>
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ISBN: 979-835038459-8
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Online
Language
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English
Type
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Conference paper
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Namitha T.N., Christ (Deemed to Be University), Department of Cse, Bangalore, India; Raghavendra S., Christ (Deemed to Be University), Department of Cse, Bangalore, India; Vinith R., Amrita Vishwa Vidyapeetham, School of Artificial Intelligence, Coimbatore, India
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Faculty Publications
Article
Faculty Publications -Articles
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Namitha, T.N.; Raghavendra, S.; Vinith, R.
Title
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Privacy-Preserving Federated Learning for Prognostic Modeling in Rare Diseases: A Scalable Case Study on Kawasaki Disease
Date
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01-01-2025
Source
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International Journal of Online and Biomedical Engineering;Volume;21;Issue;11;pp.66-80
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<a href="https://doi.org/10.3991/ijoe.v21i11.56385" target="_blank" rel="noreferrer noopener">https://doi.org/10.3991/ijoe.v21i11.56385</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105017085885?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105017085885?origin=resultslist</a>
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Namitha T.N., Department of CSE, Christ (Deemed to be University), Karnataka, Bangalore, India; Raghavendra S., Department of AIML and Data Science, Christ (Deemed to be University), Karnataka, Bangalore, India; Vinith R., Amrita Vishwa Vidyapeetham, Tamil Nadu, Coimbatore, India
Description
An account of the resource
Predictive modeling in rare diseases faces major challenges, including data scarcity, class imbalance, and strict privacy regulations that limit cross-border collaboration. These challenges are particularly critical in Kawasaki disease (KD)a rare vasculitis in childrenwhere 10% to 20% of patients are resistant to intravenous immunoglobulin (IVIG), the standard first-line treatment. This significantly increases the risk of coronary artery abnormalities (CAA), making early and accurate prediction of resistance to IVIG essential for improving patient outcomes. Our work proposes a federated learning (FL) approach to address the constraints imposed by security and privacy concerns. We investigate convolutional neural networks (CNN) as the shared model, collaboratively trained across clients. Coupled with strategies to address class imbalance resulting from the rarity of the condition, the federated approach yielded promising results when evaluated against conventional machine learning (ML) models. The proposed approach demonstrated strong performance, achieving 94% accuracy, 93% precision, 89% recall, and 91% F1 score. To ensure robustness and generalizability, an independent dataset was also used, where the proposed model excelled similarly. These results highlight the potential of FL to overcome data privacy barriers and provide a scalable, secure solution for predictive modeling in rare diseases, supporting its integration into medical prediction workflows. 2025 by the authors of this article.
Subject
The topic of the resource
adaptive synthetic sampling; convolutional neural network (CNN); federated learning (FL); flower framework; intravenous immunoglobulin resistance; Kawasaki disease (KD); rare disease
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International Federation of Engineering Education Societies (IFEES)
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ISSN: 26268493;
Language
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English
Type
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Article
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All Open Access; Gold Open Access
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online
-
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Faculty Publications
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Faculty Publications -Articles
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Namitha, T.N.; Raghavendra, S.; Vinith, R.
Title
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Federated Learning with Adaptive Intermediate Model Selection for Predicting IVIG Resistance in Kawasaki Disease
Date
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01-01-2026
Source
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International Journal of Online and Biomedical Engineering;Volume;22;Issue;2;pp.109-123
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<a href="https://doi.org/10.3991/ijoe.v22i02.58737" target="_blank" rel="noreferrer noopener">https://doi.org/10.3991/ijoe.v22i02.58737</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105030255633?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105030255633?origin=resultslist</a>
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Namitha T.N., Christ (Deemed to be University), Bangalore, India; Raghavendra S., Christ (Deemed to be University), Bangalore, India; Vinith R., Amrita Vishwa Vidyapeetham, Coimbatore, India
Description
An account of the resource
Kawasaki disease (KD), a rare pediatric illness affecting children under five, is treated with intravenous immunoglobulin (IVIG). But 1020% of patients are resistant to IVIG, and these resistant kids face a higher risk of coronary artery abnormalities. Identifying resistance early is vital, yet data scarcity, class imbalance, and the diseases rarity necessitate nationwide collaboration, which is often hindered by country-specific privacy policies. Federated learning (FL) provides a practical way for different parties to collaborate on training a model while keeping their raw data private and secure. To enhance model adaptability across diverse clinical populations, we propose an adaptive intermediate model selection strategy in federated learning. Each client retains the versionglobal or locally fine-tunedthat performs best on its own data, using customizable performance metrics such as F1-score or recall. The system was implemented using the Flower FL framework, with three simulated clients and a shared convolutional neural network (CNN) architecture. Experiments demonstrated that the global model achieved stronger performance than conventional models, and several clients obtained further gains by selecting intermediate models aligned with their data. This approach introduces a novel balance between worldwide collaboration and local personalization in FL, offering a flexible and clinically meaningful solution for IVIG resistance prediction. 2026 by the authors of this article.
Subject
The topic of the resource
adaptive model selection; ADASYN; convolutional neural network (CNN); federated learning (FL); flower framework; intravenous immunoglobulin (IVIG) resistance; Kawasaki disease (KD)
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International Federation of Engineering Education Societies (IFEES)
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ISSN: 26268493;
Language
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English
Type
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Article
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All Open Access; Gold Open Access
Format
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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
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Namitha, T.N.; Raghavendra, S.; Vinith, R.
Title
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Privacy-Preserving Federated Learning: Foundations andAlgorithmic Directions
Date
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01-01-2025
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Lecture Notes in Networks and Systems;Volume;1333 LNNS;pp.309-319
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<a href="https://doi.org/10.1007/978-981-96-4536-7_23" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-4536-7_23</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105018801087?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018801087?origin=resultslist</a>
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Namitha T.N., Department of CSE, CHRIST (Deemed to be University), Bengaluru, India; Raghavendra S., Department of CSE, CHRIST (Deemed to be University), Bengaluru, India; Vinith R., School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore, India
Description
An account of the resource
Federated Learning (FL) stands at the forefront of decentralized machine learning, revolutionizing collaborative model training among distributed devices while maintaining stringent privacy standards. FL requires multiple algorithms to handle issues with model initialization, synchronization, and convergence in remote environments. This paper comprehensively examines FL algorithms, focusing on pivotal techniques such as client-side training, server-side aggregation, and FedAvg. Detailed analysis elucidates these algorithms intricate workings, showcasing how they harmonize the aggregation of local model updates with global parameter refinement, thereby striking a delicate equilibrium between privacy preservation and model accuracy. The foundations of FL and the specifics of its sophisticated algorithms are covered in this study. By providing researchers with a roadmap for delving into FL algorithm development, this paper catalyzes unlocking new avenues of innovation and advancing the frontiers of privacy-preserving machine learning. For experimental learning, the federated learning implementation is carried out using the Flower framework on the well-known iris flower classification problem, with performance metrics thoroughly evaluated. Moreover, this paper represents, to our knowledge, the first work that extends the algorithmic directions presented in a review paper with detailed implementation on a sample problem, further encouraging exploration of various algorithms in FL implementation. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Subject
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Algorithms; Collaborative learning; Federated learning; Flower framework; Iris flower classification; Privacy preservation
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Springer Science and Business Media Deutschland GmbH
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A related resource
ISSN: 23673370; ISBN: 978-981964535-0;
Language
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English
Type
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Conference paper
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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
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Title
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Titania Doped CDs as Effective CT-DNA Binders: A Novel Fluorescent Probe via Green Synthesis
Subject
The topic of the resource
biocompatibility; CDs; DNA affinity; fluorescent; green synthesis
Description
An account of the resource
Carbon dots (CDs), which belong to the class of zero-dimensional carbon-based nanomaterials, have garnered significant interest owing to their wide array of applications spanning from the electronics industry to the healthcare sector. This work employs a facile, inexpensive approach to synthesize green luminescent carbon dots (J-10) from a potential medicinal plant named Justicia Wynaadensis by the one-step hydrothermal method. A nanocomposite (JT-10) of the CDs is prepared by adding TiO2 nanoparticles derived from green synthesis of Lavandula leaves. The J-10 and JT-10 are further characterized by X-ray Diffraction spectroscopy (XRD), Transmission Electron Microscopy (TEM), Raman analysis X-ray Photoelectron Spectroscopy (XPS), and Fourier transform infrared techniques (FTIR), UVvis spectroscopy, Photoluminescence (PL), and Fluorescence or PL lifetime analysis. The average size of synthesized CDs is 1.85 nm and exhibits an excitation-dependent fluorescence nature at 320 nm. PL lifetime analysis of J-10 and JT-10 is calculated to be 5.80 and 2.84 ns respectively. Offering these unique optical properties and biocompatibility, the synthesised material is suitable for investigating their binding affinity and interaction mechanisms with DNA. The use of JT-10 in DNA binding studies contributes to the development of sustainable and efficient nanomaterials for applications in biosensors, drug delivery, and gene therapy. 2024 Wiley-VCH GmbH.
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Namrata W.N.; Joseph N.; Varghese N.; Varghese M.; Sreehari K.S.; Joy F.; Nair Y.; Manoj B.
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Particle and Particle Systems Characterization, Vol-41, No. 10
Publisher
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John Wiley and Sons Inc
Date
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2024-01-01
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<a href="https://doi.org/10.1002/ppsc.202400127" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/ppsc.202400127</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203339209&doi=10.1002%2Fppsc.202400127&partnerID=40&md5=bb394600cdad4522ba00702d2f2337f1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203339209&doi=10.1002%2fppsc.202400127&partnerID=40&md5=bb394600cdad4522ba00702d2f2337f1</a>
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ISSN: 9340866; CODEN: PPCHE
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Online
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English
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Article
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Namrata W.N., Nanocarbon Research Group, Materials Science Research Laboratory, Department of Physics and Electronics, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India; Joseph N., Nanocarbon Research Group, Materials Science Research Laboratory, Department of Physics and Electronics, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India, Department of Electronics, St Joseph's University, 36 Lalbagh Road, Karnataka, Bangalore, 5600027, India; Varghese N., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Varghese M., Nanocarbon Research Group, Materials Science Research Laboratory, Department of Physics and Electronics, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India; Sreehari K.S., Nanocarbon Research Group, Materials Science Research Laboratory, Department of Physics and Electronics, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India; Joy F., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Nair Y., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Manoj B., Nanocarbon Research Group, Materials Science Research Laboratory, Department of Physics and Electronics, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India
-
https://archives.christuniversity.in/files/original/ae43603f1ee02b4c3d87291b591fa7d7.pdf
e494df42cb84b1f4c2cca38a39e435e3
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
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MPHIL
Mphil
Mphil Thesis
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Title
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Situating censorship: A study of the politics of state and self in literary translations in Iran /
Creator
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Nanaje, Shahin Marjan. - 0934104
Source
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English and Media Studies
Subject
The topic of the resource
English
Description
An account of the resource
A nation’s culture flourishes by interacting with other cultures” (Razmjou). Cultural variety not only enriches our knowledge, but also acts as a guide towards the growth of a nation. It gives an insight about the basic human right practices of different cultures. The standard of culture of any particular nation can be gauged through various tools, but importance is given to literature, as it acts as a barometer to measure the cultural growth of the nation. To interpret any culture it is important to understand the beginnings of that particular culture and make an in-depth study of the progress of its civilization. The cultural evolution of any place is continuous and is a combination of many factors like geographic location, weather conditions prevalent, suitable food crops grown, its political policies, religious influences, its history and its present circumstances. The above factors directly or indirectly become responsible to blend and give shape to a culture.
Publisher
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CHRIST (Deemed to be University)
Date
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2010-05-19
Language
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English
Format
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PDF
Type
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MPhil
-
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
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Faculty Publications
Article
Faculty Publications -Articles
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Nancy Lima Christy, S.; Rajasekaran, N.; Kamalaveni, A.; Shavkatov, Navruzbek; Rabiyathul Fathima, M.; Md. Zubair Rahman, A.M.J.
Title
A name given to the resource
Deep Learning-Based Signal Detection Techniques for Real-Time Communication in Fading Channels
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
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National Journal of Antennas and Propagation;Volume;7;Issue;1;pp.297-306
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<a href="https://doi.org/10.31838/NJAP/07.01.33" target="_blank" rel="noreferrer noopener">https://doi.org/10.31838/NJAP/07.01.33</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105013146603?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013146603?origin=resultslist</a>
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Nancy Lima Christy S., Department Of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram Campus, Tamil Nadu, Chennai, India; Rajasekaran N., Department of Computer Science Christ (Deemed to be University), Karnataka, Bengaluru, India; Kamalaveni A., J.K.K Nataraja College of Arts and Science, Kumarapalayam (TK), Namakkal (DT), Tamil Nadu, India; Shavkatov N., Department of Corporate Finance and Securities, Tashkent State University of Economics, Tashkent, Uzbekistan; Rabiyathul Fathima M., Department of Information Technology, Al-Ameen Engineering College, Tamil Nadu, Erode, India; Md. Zubair Rahman A.M.J., Department of Electronics and Communication Engineering, Al-Ameen Engineering College, Tamil Nadu, Erode, India
Description
An account of the resource
Dependable signal detection has also been a major concern in real-time wireless communication especially in the case of fading channels that cause non-adaptive distortion and deteriorate the overall performance drastically. The conventional detection meth-ods, like the maximum likelihood detection, are not always adaptive in the circumstances of dynamic and therefore unpredictable channel conditions, and particularly in the cases when the statistical profiles are unknown or vary too quickly. In order to address these shortcomings, the papers introduce a new paradigm of deep learning signal detection trained to learn hierarchies and temporal patterns of raw received signals, which by their pas integrate convolutional neural networks (CNN) and recurrent neural networks (RNN). The trained architecture is end-to-end that is able to map the noisy distorted inputs to their symbols which are inherently transmitted in the context of channel state informa-tion. Heavy simulation over Rayleigh and Rician fading channels with different Doppler spreads and SNR values shows that the suggested approach shows substantial improve-ment over the traditional maximum likelihood and classical machine learning-based detec-tors regarding bit error rate (BER), inference latency and computational overhead. Such results emphasize the performance as well as the flexibility of deep learning model in very dynamic propagation conditions. On the whole, this paper draws the conclusion that deep learning is a perspective direction to solve the problem of real-time detection of a signal in next-generation wireless networks, such as a 6G or IoT edge setup. 2025, Society for Communication and Computer Technologies. All rights reserved.
Subject
The topic of the resource
Deep learning; Fading channels; Neural networks; Real-time communication; Signal detection; Wireless propagation
Publisher
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Society for Communication and Computer Technologies
Relation
A related resource
ISSN: 25822659;
Language
A language of the resource
English
Type
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Article
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All Open Access; Gold Open Access
Format
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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
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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
Residual-Based Statistical Process Control Charts in the Presence of Multicollinearity: an EWMA Framework with (RK) Estimator
Subject
The topic of the resource
(rk) class estimator; EWMA; Multicollinearity; Process control; Regression control chart; Residual control chart
Description
An account of the resource
Reliability monitoring of financial health requires strong control mechanisms, and the residual chart is an invaluable instrument to perform it. One of the key problems statisticians face while modeling is the problem of multicollinearity which arises when there is a strong correlation between independent variables leading to imprecise coefficient estimates and poor outcomes. To solve this problem and to make sure that the control chart works even with correlated data, we integrated a Weighted Moving Average Exponential smoothing chart within the modeling technique. The theoretical approach assures long-term variability and consistency of the residual control chart. These control charts are used to understand the process and the performances in various sectors. The charts can be used as analytical instruments to help recognize patterns, variations, or anomalies in economic indicators specifically in budget deficit data and facilitate rapid identification of any changes or inconsistencies in the fiscal deficit by policymakers. Further advances in statistical process control are rendered feasible by this study, which deepens the understanding and awareness of the potential uses and implications of the Weighted Moving Average Exponential smoothing chart for fiscal deficit data in the Economic realm. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Creator
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Nancy M.; Joshi H.
Source
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Lecture Notes in Networks and Systems, Vol-1085 LNNS, pp. 327-340.
Publisher
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Springer Science and Business Media Deutschland GmbH
Date
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2024-01-01
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<a href="https://doi.org/10.1007/978-981-97-6726-7_26" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-6726-7_26</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209217434&doi=10.1007%2F978-981-97-6726-7_26&partnerID=40&md5=1abdbab832920095febe12f3482accde" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85209217434&doi=10.1007%2f978-981-97-6726-7_26&partnerID=40&md5=1abdbab832920095febe12f3482accde</a>
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Restricted Access
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ISSN: 23673370; ISBN: 978-981976725-0
Format
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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
Nancy M., Department of Statistics and Data Science, Christ University, Bangalore, India; Joshi H., Department of Statistics and Data Science, Christ University, Bangalore, India
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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
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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
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Tracking Sigmoid Regression with Multicollinearity in Phase I: An Approach Incorporating Control Charts
Subject
The topic of the resource
Control Limits; Multicollinearity; Principal Component; Regression Control Chart; Sigmoid Regression
Description
An account of the resource
Regression and quality control are two crucial techniques that data analysis employs in improving the decision-making process. We use the sigmoid function to model the connection between independent factors and the dependent variable in sigmoid regression. When there is a significant correlation among the independent variables in a regression model, multicollinearity a statistical phenomenon exists. Multicollinearity presents problems with higher uncertainty when estimating individual coefficients possibly making it harder to identify each variable's distinct contribution to the model. By suggesting a control chart specifically designed for the sigmoid regression model, this research presents a strategy to address the impact of influential observations using regression control charts, by making use of principal component regression class estimators. Principal component regression merges from the principal component analysis and linear regression methodologies, aiming to alleviate multicollinearity issues and enhances the stability of regression models. The performance of the model is evaluated using Pearson's residuals, Deviance residuals, and residuals. This strategy is proven to be useful in real world situations demonstrated through an application in the field of sleep wellness disorder. In conclusion, this study introduces a unique control chart to manage multicollinearity in sigmoid regression, providing a new perspective on the topic to spot differences in the underlying process by highlighting trends in the residuals. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
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Nancy M.; Joshi H.
Source
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Lecture Notes in Networks and Systems, Vol-1051 LNNS, pp. 244-255.
Publisher
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Springer Science and Business Media Deutschland GmbH
Date
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2024-01-01
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<a href="https://doi.org/10.1007/978-3-031-64850-2_23" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-64850-2_23</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201075511&doi=10.1007%2F978-3-031-64850-2_23&partnerID=40&md5=89e6cb240f6da7ad700dc868f5229ee4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201075511&doi=10.1007%2f978-3-031-64850-2_23&partnerID=40&md5=89e6cb240f6da7ad700dc868f5229ee4</a>
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ISSN: 23673370; ISBN: 978-303164849-6
Format
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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
Nancy M., Department of Statistics and Data Science, CHRIST (Deemed to be University), Bangalore, India; Joshi H., Department of Statistics and Data Science, CHRIST (Deemed to be University), Bangalore, India
-
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Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
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Nancy, M.; Joshi, Hemlata
Title
A name given to the resource
Residual-based MEWMA control charts in the presence of multicollinearity
Date
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01-01-2025
Source
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Songklanakarin Journal of Science and Technology;Volume;47;Issue;6;pp.438-444
Identifier
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<a href="https://www.scopus.com/pages/publications/105029467826?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105029467826?origin=resultslist</a>
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Nancy M., Department of Statistics and Data Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India, Department of Statistics, School of Computational and Physical Sciences, Kristu Jayanti (Deemed to be University), Karnataka, Bengaluru, 560077, India; Joshi H., Department of Statistics and Data Science, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India
Description
An account of the resource
Statistical Process Control has been performing a critical role in attaining quality assurance from historic times to the modern era. Examining and governing the process variables involves rigorous stages and several control charts. The multivariate process is considered for a more comprehensive understanding of handling multiple correlated variables of the process. The study here focuses on the unique creation and deployment of residual-based Multivariate Exponentially Weighted Moving Average control charts in the presence of multicollinearity, specially constructed and evaluated for Phase I and Phase II. The chart offers a reliable framework for understanding shifts in multivariate processes across time from minor to moderate changes in process parameters. Agro-Economy data of Indian States for the years 2019 and 2020 are utilized in an application example. The proposed residual-based MEWMA control charts detect out-of-control circumstances with few false alarms and this is critical for rapid interventions, resulting in optimal crop management and production. 2025, Prince of Songkla University. All rights reserved.
Subject
The topic of the resource
control charts; multivariate exponentially weighted moving average; phase I; phase II; quality control
Publisher
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Prince of Songkla University
Relation
A related resource
ISSN: 1253395;
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Rights
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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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Faculty Publications
Article
Faculty Publications -Articles
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Nanda, Binita; Lakshmi, Chaitanya; Pandey, Chandra Mouli; Kumar, Ashwini; Thangavelu, Indumathi; Tadepalli, Srinivas; Bhran, Ahmed A.
Title
A name given to the resource
Biocompatible Sodium Alginate Modified BaO2H2O2 Nanoparticles With Improved Therapeutic Efficacy Against Multidrug-Resistant Pathogens and Cancer Cells
Date
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01-01-2025
Source
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Polymers for Advanced Technologies;Volume;36;Issue;10;Article No.;e70363;
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<a href="https://doi.org/10.1002/pat.70363" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/pat.70363</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105017842303?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105017842303?origin=resultslist</a>
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Nanda B., Department of Chemistry, Siksha O Anusandhan (Deemed to be University), Bhubaneswar, India; Lakshmi C., Department of Chemistry, Presidency University, Bengaluru, India; Pandey C.M., Department of Chemistry, Faculty of Applied and Basic Sciences, SGT University, Gurgaon, India; Kumar A., Department of Mechanical, ARKA JAIN University, Jamshedpur, India; Thangavelu I., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, India; Tadepalli S., Department of Chemical Engineering, College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia; Bhran A.A., Department of Chemical Engineering, College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
Description
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The increasing problem of multidrug-resistant pathogens and the limitations of conventional therapies for cancer treatments require designing new therapeutic agents. BaO2H2O2 and BaSA nanoparticles were prepared and characterized to determine their antimicrobial, antifungal, and anticancer activities. The XRD confirmed the crystallite sizes to be 34 nm for BaO2H2O2 and 25 nm for BaSA. The UVvisible analysis confirmed the band gap energies as 4.13 and 4.11 eV for BaO2H2O2 and BaSA, respectively. A shift in the blue-green PL emission from 488510 nm in BaO2H2O2 to 535 nm in BaSA indicated increased oxygen vacancies. EDAX analysis demonstrated elemental variations due to SA modification, whereas DLS measurements showed a decrease in the mean size of the nanoparticles from 116.70 nm (BaO2H2O2) to 111.90 nm (BaSA). Antimicrobial activity was shown against Klebsiella pneumoniae, Shigella dysenteriae, Escherichia coli, Pseudomonas aeruginosa, and Proteus vulgaris, while a considerable enhancement of antifungal activity against Candida albicans was observed in BaSA. Against MG-63 osteosarcoma cells, BaSA exhibited lower IC50 values (21.5, 20.2, 18.7 ?g mL?1 at 24, 48, and 72 h) when compared with BaO2H2O2 (23.4, 22.5, 21.3 ?g mL?1). Zebrafish embryos tolerated BaSA at 0.5 mg mL?1, with developmental abnormalities observed only at 1.0 mg mL?1. 2025 John Wiley & Sons Ltd.
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antibacterial; anticancer; antifungal; barium peroxide; SA; surface modification
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John Wiley and Sons Ltd
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ISSN: 10427147;
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English
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Article
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Restricted Access; Hardcopy may be available in the library
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online
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Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Nanda, Sudhansu Sekhar; Biswal, Sthitipragyan; Indoria, Devadutta; Palav, Manesh R.; Babu, S. B. G. Tilak; Patil, Anand
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Economic Insights: The Computational Intelligence Perspective on Finance
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01-01-2025
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Computational Intelligence Solutions for Real-Life Problems;pp.113-130
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<a href="https://doi.org/10.1201/9781998511013-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781998511013-7</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105024027044?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024027044?origin=resultslist</a>
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Nanda S.S., Faculty of Management Studies, Sri Sri University, Odisha, Cuttack, India; Biswal S., Symbiosis School of Banking and Finance, Symbiosis International, Pune, India; Indoria D., Department of Commerce, Vikram Dev University, Odisha, Jeypore, India; Palav M.R., Department of MBA, Global Business School and Research Center, Dr. D. Y. Patil Vidyapeeth, Maharashtra, Pune, India; Babu S.B.G.T., Department of Electronics and Communication Engineering, Aditya Engineering College, Andhra Pradesh, Surampalem, India; Patil A., School of Business and Management, Christ University, Karnataka, Bangalore, India
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Using technological advancements and shifting risk landscapes as a driving force, this abstract investigates the revolutionary approaches that have reshaped risk mitigation in contemporary contexts. Introducing a new era of proactive risk management has been made possible by the combination of artificial intelligence (AI), machine learning (ML), and predictive analytics. Organizations are able to recognize patterns and anticipate potential risks with an accuracy that has never been seen before, thanks to these technologies, which analyze vast datasets. By extracting valuable insights from unstructured data sources, natural language processing (NLP) and sentiment analysis broaden the scope of risk assessment with their respective capabilities. Blockchain technology improves both transparency and security, particularly in the realm of financial transactions, thereby lowering the likelihood of fraudulent activity. Cloud computing makes dynamic risk modeling easier to accomplish, which in turn makes it possible to simulate real-time scenarios. The cumulative effect of these innovations not only improves the efficiency of risk reduction, but it also helps organizations develop risk management frameworks that are more agile and resilient. When navigating the complexities of a risk landscape that is constantly shifting, it is essential to strike a balance between technological advancements, ethical considerations, and transparency. 2026 by Apple Academic Press, Inc.
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artificial intelligence; blockchain technology; cloud computing; machine learning; natural language processing; predictive analytics; risk mitigation; sentiment analysis
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Apple Academic Press
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ISBN: 978-104080568-8; 978-199851100-6;
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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
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online
-
https://archives.christuniversity.in/files/original/3a7aa3a3788403815266d272a5288152.pdf
a6807ead23d659afc32ff9804c1b0018
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Title
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MPHIL
Mphil
Mphil Thesis
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Reading Duality of Existence in Kerala of the
1980s through P. Padmarajan???s select films
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Nandakumar Kalyani
Date
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2017
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English
-
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Title
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Articles
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Faculty Publications -Articles
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Thermorheological effect on RayleighBard magnetoconvection in a biviscous Bingham fluid with rough boundary condition on velocity and Robin boundary condition on temperature
Subject
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biviscous Bingham fluid; energy method; general boundary condition; nonlinear analysis; variable viscosity
Description
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The thermorheological effect on the onset of RayleighBard convection in a biviscous Bingham fluid in the presence of a horizontal magnetic field is investigated considering rough boundary conditions on velocity and Robin boundary conditions on temperature. The viscosity of the electrically conducting fluid is assumed to be sensitive to temperature variation. Linear and global nonlinear stability analyses are performed using the Chebyshev pseudospectral method to determine the existence of instability or otherwise. A general interpretation is made from the results to show the effects of the magnetic field and the variable viscosity on the system's stability. The biviscous Bingham parameter and the Chandrasekhar number are shown to have a delay in the onset of convection, while the effect of temperature sensitivity is to advance the onset. It is found that the results of linear and global nonlinear stability are not in agreement, so the region of subcritical instability exists. Also, the results obtained for RayleighBard convection agree pretty well with those of Platten and Legros and Siddheshwar et al. for the limiting cases. 2023 Wiley Periodicals LLC.
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Nandal R.; Siddheshwar P.G.
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Heat Transfer, Vol-52, No. 4, pp. 2943-2974.
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John Wiley and Sons Inc
Date
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2023-01-01
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<a href="https://doi.org/10.1002/htj.22812" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/htj.22812</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145451671&doi=10.1002%2Fhtj.22812&partnerID=40&md5=833fd410a386a8266533d7bd222c84a6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145451671&doi=10.1002%2fhtj.22812&partnerID=40&md5=833fd410a386a8266533d7bd222c84a6</a>
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Restricted Access
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ISSN: 26884534
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Online
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English
Type
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Article
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Nandal R., Department of Mathematics, Centre for Mathematical Needs, Christ (Deemed to be University), Bengaluru, India; Siddheshwar P.G., Department of Mathematics, Centre for Mathematical Needs, Christ (Deemed to be University), Bengaluru, India