130
20
16481
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https://archives.christuniversity.in/files/original/a1977934c16194328ff5ddddbd1b9871.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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Title
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Patents
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Patent
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Patent
Patent
Patents
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Title
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Analyze the many business-to-consumer (B2C) marketing strategies that can be implemented on social media platforms /
Subject
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Computer Science
Description
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Patent Number: 202241036460, Applicant: Dr.K Abirami Devi.
How do business-to-consumer and business-to-business social media platforms differ How do you go about the process of developing relevant social material for a community that includes end-users as well as other businesses Learn the ins and outs of an effective social media marketing strategy for both business to consumer and business to business. Transform your social media platforms into marketing tools that increase both brand exposure and sales. Even if your company does not have a social media plan, you probably still make use of social media in some capacity because it is cost-free, has the potential to be quite effective, and can be simplified.
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Chaurasia, Amrita.
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<a href="https://drive.google.com/file/d/1nuqEBwSdXan9jNFFjXD2TjLvpM_DqDJ8/view" target="_blank" title="Analyze the many business-to-consumer (B2C) marketing strategies that can be implemented on social media platforms /" rel="noreferrer noopener">https://drive.google.com/file/d/1nuqEBwSdXan9jNFFjXD2TjLvpM_DqDJ8/view</a>
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Intellectual Property India
Date
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2022-05-22
Language
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English
Type
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Patent
-
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Title
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Chaurasiya, Hirendra Kumar; Kumari, Muskan; Sharma, Vandana; Singh, Ajay Vikram; Jain, Sarika
Title
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Design of a Multi Camera Enabled Scrutinizing Framework for Smart Cities
Date
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01-01-2025
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2025 International Conference on Artificial Intelligence and Machine Vision, AIMV 2025;
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<a href="https://doi.org/10.1109/AIMV66517.2025.11203693" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AIMV66517.2025.11203693</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105021802275?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105021802275?origin=resultslist</a>
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Chaurasiya H.K., Kalinga Institute of Industrial Technology, School of Computer Engineereing, Bhubaneshwar, India; Kumari M., Kalinga Institute of Industrial Technology, School of Computer Engineereing, Bhubaneshwar, India; Sharma V., CHRIST University, Computer Science Department, Bengaluru, India; Singh A.V., Amity University, AIIT, UP, India; Jain S., Amity University Uttar Pradesh, AIIT, Noida, India
Description
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This research paper presents a multi-camera surveillance system tailored for the demands of smart cities. By integrating edge computing, the system decentralizes processing, reducing latency and alleviating network bandwidth strain. The architecture includes layers for data collection, edge processing, centralized storage, AI-driven analysis, synchronization, and user visualization. Cameras capture and preprocess data locally to identify anomalies and minimize unnecessary transmission. AI algorithms handle tasks like object tracking, behavior analysis, and event detection with precision. Synchronization ensures seamless temporal alignment across video streams for accurate event reconstruction. User-friendly dashboards provide actionable insights for urban planning and public safety. By leveraging edge computing, AI, and robust synchronization, this system addresses scalability, latency, and privacy concerns, offering enhanced safety, optimized traffic flow, and better urban planning. 2025 IEEE.
Subject
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AI-Driven Analysis; Edge Computing; Multi-Camera Systems; Real-Time Data Processing; Smart City Surveillance
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Institute of Electrical and Electronics Engineers Inc.
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ISBN: 979-833152697-9;
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
-
https://archives.christuniversity.in/files/original/1610ff585a9ffd0487ec6d2dc0c54ec8.pdf
21e2e2d64da87ad5f92ddf32db5bd518
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Title
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Volatility spillover effects in cryptocurrencies /
Subject
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Commerce
Creator
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Chavan Rajkumar Dhaku - 2070102
Publisher
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CHRIST (Deemed to be University)
Date
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2023-07-06
Language
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English
Type
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PhD
-
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Title
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Conference Papers
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Faculty Publications- Conference Papers
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Strategic Integration of HR, Organizational Management, Big Data, IoT, and AI: A Comprehensive Framework for Future-Ready Enterprises
Subject
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AI integration; Big data analytics; Future-ready enterprises; HR management; IoT implementation; Organizational efficiency; Strategic integration
Description
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This exploration paper proposes a comprehensive frame aimed at fostering unborn-ready enterprises through the strategic integration of Human coffers(HR), Organizational Management, Big Data, the Internet of Things (IoT), and Artificial Intelligence(AI). By synthesizing these critical factors, the frame seeks to optimize organizational effectiveness, enhance decision-making processes, and acclimatize proactively to evolving request dynamics. Through a methodical review of being literature and empirical substantiation, the paper delineates the interconnectedness of these rudiments and elucidates their collaborative impact on organizational performance and dexterity. likewise, it explores perpetration strategies and implicit challenges associated with espousing such an intertwined approach. This paper not only contributes to the theoretical understanding of strategic operation but also provides practical perceptivity for directors and directors seeking to navigate the complications of the contemporary business geography and place their associations for sustained success in a decreasingly digitized and competitive terrain. 2024 IEEE.
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Chavan V.; Nagendra; Mohammad Roshif U.; Abhijith R.; Joshi A.; Jha D.
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Proceedings of 9th International Conference on Science, Technology, Engineering and Mathematics: The Role of Emerging Technologies in Digital Transformation, ICONSTEM 2024
Publisher
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Institute of Electrical and Electronics Engineers Inc.
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2024-01-01
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<a href="https://doi.org/10.1109/ICONSTEM60960.2024.10568704" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICONSTEM60960.2024.10568704</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198825703&doi=10.1109%2FICONSTEM60960.2024.10568704&partnerID=40&md5=655b2e4bea7c266e3cf6e9de514286c8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198825703&doi=10.1109%2fICONSTEM60960.2024.10568704&partnerID=40&md5=655b2e4bea7c266e3cf6e9de514286c8</a>
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ISBN: 979-835036509-2
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Online
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English
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Conference paper
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Chavan V., Ravensbourne University London, Project Management, United Kingdom; Nagendra, Manipal Law School, Manipal Academy of Higher Education, Karnataka, Bengaluru, India; Mohammad Roshif U., Malabar College of Advanced Studies Vengara, University of Calicut, Department of Management Studies, Kerala, India; Abhijith R., Cet School of Management, College of Engineering Trivandrum, Apj Abdul Kalam Technological University, Kerala, India; Joshi A., Ba School of Business And Finance, Riga, Latvia; Jha D., Christ (Deemed To Be University, Delhi-NCR), Uttar Pradesh, India
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PHD
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61000305
Title
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Volatility Spillover Effects in Cryptocurrencies
Subject
The topic of the resource
Commerce
Description
An account of the resource
Cryptocurrencies' growing use has increased investors and decision- makers interest. Cryptocurrencies' volatility and how it impacts others is
most intriguing. Arguments include speculative pressures, valuation uncertainty, and lack of regulation. These traits cannot fully explain
cryptocurrency volatility and volatility spillovers, suggesting other relevant factors. In this study, currency volatility and spillovers, as well as
their relationship with the sentiment of global investors, were investigated. The study analysed 22 cryptocurrencies from 01/01/2018 to 31/12/2022.
The study used FIGARCH and FIEGARCH, a GARCH family model to analyse the long-memory and leverage effects on cryptocurrency volatility,
the ADCC-GARCH framework, and the Diebold-Yilmaz spillover index to analyse cryptocurrency volatility spillovers. The long-memory and
leverage impacts on bitcoin volatility were analysed using the FIGARCH and FIEGARCH models from the GARCH family. Both the Chow-test and
the Pai-Berron Test found structural breaks in the cryptocurrencies. Cryptocurrencies such as Adacordono, Aertinity, ARK, BAT, BCH, BNT,
BTC, Dogecoin, Ethereum, Funtoken, ICON, KMD, KNC, NEO, PIVX, QTUM, SNT, TRX, ZCASH, have positive (difference) FIGARCH
coefficient values. It indicates a long memory in currencies, and volatility shocks affect future volatility. On the other hand, the FIGARCH
coefficient of BTG cryptocurrency (difference) is negative (-0.035), which suggests that the individual has a short memory. In this scenario, the effects
of volatility shocks are only temporary. When extreme volatility is promptly followed by low volatility or vice versa, this indicates anti-
persistence. The study also found that both positive and negative news has a significant impact on the volatility of specific cryptocurrencies such as
BCH (0.015), BNT (0.0016), BTG (0.01972), DOGE (0.2296), EOS (0.0112), KNC (0.0366), PIVX (0.0021), TRX (0.0013), Adacordono (-
0.027), Aertinity (-0.0393), ARK (-0.0377), BAT (-0.028058), and BTC (-0.0665). Ethereum has the largest spillover (4.09), followed by QTUM
(4.06), EOS (4.05), Adacordono (4.05), and Dogecoin (2.4). All cryptocurrencies show fundamental instabilities (P-values less than 0.05).
Hence the alternative hypothesis is accepted, and the null hypothesis is rejected. The hill estimator tail index value is ? > 0, fat tail or heavy tail;
high chance of catastrophic event which is observed in all the 22 cryptocurrencies. Both investors and speculators can use sentiment
analysis to forecast market volatility and generate gains. Policymakers can also utilize this information to establish laws that reduce market volatility.
As a result, the study contributes to the ongoing discussion on the factors that cause bitcoin's volatility.3
Creator
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Chavan, Rajkumar Dhaku
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Author's Submission
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Christ(Deemed to be University)
Date
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2023-01-01
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A, Senthil Kumar
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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/10603/547682" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/547682</a>
-
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Title
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Articles
Article
Faculty Publications -Articles
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Title
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ASSESSMENT OF WATER QUALITY IMPACTS ON CROP PRODUCTIVITY IN SALINE SOILS: INTEGRATING HYDRO CHEMICAL ANALYSIS AND CROP PERFORMANCE
Subject
The topic of the resource
atomic absorption spectroscopy; crop productivity; hydro chemical analysis; ion chromatography; irrigation management; saline soils; soil salinity mapping; water quality analysis
Description
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This study aims to address the effect of water quality on crop productivity on saline soils. Water quality parameters to be studied include salinity level, pH, oxygen concentration, nutrient, and heavy metal level. The study will particularly focus on irrigation water sources that are situated in regions characterised by saline soils. Moreover, there are intended growth experiments for the evaluation of various specific crops such as rice, wheat or maize with different levels of water quality. The study will incorporate sophisticated analytical tools including ion chromatography, atomic absorption spectroscopy (AAS), and electric field mapping (EMI) to shed light on the current water quality and soil conditions of the selected area. The experiments that we plan to conduct will involve studying the growth parameters, yield, water use efficiency and the percentage of uptake of nutrients under several water quality scenarios. The data collected in this work will ascertain the link between the values of water quality parameters, soil salinity extent and productivity of crops and will provide the basis for the creation of innovative saline soil agriculture irrigation management practices. 2024, Scibulcom Ltd.. All rights reserved.
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Chavhan G.K.; Maind V.B.; Sonawane K.B.; Pujar R.P.; Acharjee P.B.; Kalra G.; Philip J.M.
Source
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Journal of Environmental Protection and Ecology, Vol-25, No. 6, pp. 1785-1794.
Publisher
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Scibulcom Ltd.
Date
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2024-01-01
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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-s2.0-85207453275&partnerID=40&md5=c0872d90a9aadbbdd8b0c89f25b56393" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207453275&partnerID=40&md5=c0872d90a9aadbbdd8b0c89f25b56393</a>
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ISSN: 13115065
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Online
Language
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English
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Article
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Chavhan G.K., Department of Geography, K. J. Somaiya College of Arts, Commerce and Science, Maharashtra, Kopargaon, India; Maind V.B., Department of Geography, K. J. Somaiya College of Arts, Commerce and Science, Maharashtra, Kopargaon, India; Sonawane K.B., Department of Geography, K. J. Somaiya College of Arts, Commerce and Science, Maharashtra, Kopargaon, India; Pujar R.P., Department of Marketing, Indira School of Business Studies PGDM, Pune, India; Acharjee P.B., Department of Computer Science, CHRIST University, Bangalore, India; Kalra G., Department of Mechanical Engineering, Maharishi Markandeshwar (Deemed to be University), Ambala, Mullana, India; Philip J.M., Department of Computer Science and Engineering Sri Ramakrishna Institute of Technology, Tamil Nadu, Coimbatore, India
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
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Title
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Atman's awakening: Bhagavad Gita's Path to Moksha through Karma Yoga and Atmabodha
Description
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Indian psychology is characterized by its diverse and rich traditions that have evolved over several centuries. This chapter tries to fulfill four objectives: 1) To provide a brief overview of the concept of self in Bhagavad Gita; 2) to give a brief overview of the two frameworks for moksha given in the Bhagavad Gita with the help of empirical evidence of current research; 3) to propose a conceptual model using Triguna Framework and Trimarg Framework; and 4) to provide the implications of the proposed model. The chapter begins with an explanation of the Indian philosophical understanding of self from the lens of Bhagavad Gita. In the second section, an effort has been made to compare and contrast the two frameworks given in Bhagavad Gita for Moksha. The last section introduces a conceptual model to enhance sattva guna and reduce the rajas and tamas gunas to attain atmabodha that can have positive psychological implications in modern times. 2024, IGI Global. All rights reserved.
Creator
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Chawla S.; Giri M.
Source
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Global Applications of Indian Psychology: Therapeutic and Strategic Models, pp. 31-61.
Publisher
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IGI Global
Date
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2023-01-01
Identifier
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<a href="https://doi.org/10.4018/978-1-6684-9778-4.ch003" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/978-1-6684-9778-4.ch003</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181054681&doi=10.4018%2F978-1-6684-9778-4.ch003&partnerID=40&md5=fc0d6cc56d566b1217a5b1e7df8047f7" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181054681&doi=10.4018%2f978-1-6684-9778-4.ch003&partnerID=40&md5=fc0d6cc56d566b1217a5b1e7df8047f7</a>
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ISBN: 978-166849779-1; 978-166849778-4
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Online
Language
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English
Type
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Book chapter
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Chawla S., Christ University, India; Giri M., Christ University, India
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Articles
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Faculty Publications -Articles
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Exploring perceptions of psychology students in Delhi-NCR Region towards using mental health apps to promote resilience: a qualitative study
Subject
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Engaging features; FGDs; Mental health apps; MHapps; Progress tracking; Reflexive thematic analysis; Resilience; University students
Description
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Background: Mental health apps (MHapps) have the potential to become an essential constituent for addressing mental health disparities and influencing the psychological outcomes of students in India. Though lauded as a practical approach to preventing various mental health issues, there are concerns that developing and utilizing MHapps standardized on Western populations produce ineffective results for the natives of Asian countries such as India due to a wide range of cultural differences. This research was conducted on psychology students living in the Delhi-NCR region of the Indian subcontinent. The study explored psychology students perceptions, needs, and preferences regarding mental health apps that promote resilience, identified barriers and facilitators for developing effective mental health apps, and explored the cultural relevance of the development of MHapps in India. Methods: This was an exploratory study utilizing focus group discussions among psychology students. Psychology students were sampled using snowball sampling from Delhi-NCR region colleges to participate in FGDs. We conducted six focus groups, which included a representation of 30 psychology students from full-time UG/PG courses. The study used a reflexive thematic analysis framework using the six-step Braun and Clarke process to develop themes. Results: Psychology students valued MHapps for their easy accessibility, 24*7 functionality, affordable costs, highly engaging features, and the option of being anonymous. However, students preferred the apps based on established psychological frameworks with strong empirical evidence and the availability of remote mental health professionals with relevant qualifications and training. The main barriers to using MHapps identified by students included difficulties in differentiating between real and fake MHapps, lack of progress tracking of the users due to minimal human interactions, and ethical and data privacy concerns. Students also emphasized the cultural relevance of MHapps. The interpretation of our findings indicates that students demanded transparency regarding the authenticity of MHapps. Conclusion: The findings of this exploratory investigation offer a better understanding of how college students perceive the usage of MHapps to improve resilience. This study highlights that further research should explore the specific needs and preferences of university students for developing and implementing effective MHapps for different contexts. The Author(s) 2024.
Creator
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Chawla S.; Saha S.
Source
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BMC Public Health, Vol-24, No. 1
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BioMed Central Ltd
Date
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2024-01-01
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<a href="https://doi.org/10.1186/s12889-024-19565-9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1186/s12889-024-19565-9</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199796409&doi=10.1186%2Fs12889-024-19565-9&partnerID=40&md5=66c5d3fbcf6a6da1d2f824f323e92492" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199796409&doi=10.1186%2fs12889-024-19565-9&partnerID=40&md5=66c5d3fbcf6a6da1d2f824f323e92492</a>
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All Open Access; Gold Open Access; Green Open Access
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ISSN: 14712458; PubMed ID: 39061041
Format
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Online
Language
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English
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Article
Coverage
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Chawla S., Department of Psychology, Christ University, NCR, Delhi, India; Saha S., Department of Psychology, Christ University, NCR, Delhi, India
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
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Navigating the dynamic interplay of fear of failure and social cognition in the digital era
Description
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This chapter delves into the intricate relationship between fear of failure and our ability to perceive, interpret, and respond to social cues (i.e., social cognition). This chapter will examine the theoretical foundations of fear of failure and how it manifests across cognitive, emotional, behavioral, and social dimensions. Drawing from empirical research, it will provide real-world insights into how this fear can profoundly affect social interactions. The chapter highlights interventions, such as CBT and mindfulness practices, designed to address the fear of failure and enhance social cognition. It will further explore the dynamic interplay between fear of failure, social cognition, and the evolving landscape of online interventions. As the digital realm shapes our social interactions, understanding how fear of failure influences social cognition in the online context and how online interventions can mitigate its impact is of paramount importance. This chapter seeks to present a thorough summary of these interconnected variables. 2024, IGI Global.
Creator
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Chawla S.; Saha S.
Source
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Principles and Clinical Interventions in Social Cognition, pp. 125-138.
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IGI Global
Date
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2024-01-01
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<a href="https://doi.org/10.4018/9798369312650.ch008" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/9798369312650.ch008</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190913147&doi=10.4018%2F9798369312650.ch008&partnerID=40&md5=e80e1da8e74f817fc53f1b67cf230bbd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190913147&doi=10.4018%2f9798369312650.ch008&partnerID=40&md5=e80e1da8e74f817fc53f1b67cf230bbd</a>
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Restricted Access
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ISBN: 979-836931266-7; 979-836931265-0
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Online
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English
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Book chapter
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Chawla S., Christ University, India; Saha S., Christ University, India
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Faculty Publications
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Chebbi, Nandan Shrinivas; Mahashabde, Roshan Balaji; Shrinivas, Bharath Masthi; Makam, Prashasth Kishore; Kumar, Sandeep; Kiran, V.
Title
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Analyzing Technology Ecosystem Business Models: A Predictive Modelling Approach
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01-01-2025
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Proceedings of 2025 IEEE International Conference on Contemporary Computing and Communications, InC4 2025;
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<a href="https://doi.org/10.1109/InC465408.2025.11256413" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/InC465408.2025.11256413</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105030320346?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105030320346?origin=resultslist</a>
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Chebbi N.S., RV College of Engineering, Department of ECE, Bengaluru, India; Mahashabde R.B., RV College of Engineering, Department of ECE, Bengaluru, India; Shrinivas B.M., RV College of Engineering, Department of ECE, Bengaluru, India; Makam P.K., RV College of Engineering, Department of ECE, Bengaluru, India; Kumar S., Christ University, Department of AI, ML and DS, Bengaluru, India; Kiran V., RV College of Engineering, Department of ECE, Bengaluru, India
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In the rapidly changing landscape of technology, companies are devoting an increasing amount of their resources to developing product ecosystems that collaborate to deliver enhanced consumer experiences and strengthen their business models. As opposed to traditional standalone solutions, these ecosystems are intended to facilitate everyday tasks, increase user engagement, and provide seamless integration, all of which ensure a steady stream of revenue and dedicated customer base. This analysis provides an overview of the many ecosystem models that are now transforming the technology industry. An examination of ecosystems that help businesses maintain long-term revenue sustainability and high customer retention rates is provided by the model analysis, along with insights into how ecosystems may enhance user experience by being more connected, straightforward, and user-friendly. Technology ecosystems' quantitative effects are lacking, which makes it difficult to comprehend how they affect long-term revenue sustainability and customer retention. It is challenging to understand how technological ecosystems impact long-term revenue sustainability and customer retention due to the lack of measurable consequences. Through the use of multiple linear regression, this study illustrates the ecosystem business models' long-term revenue and customer retention. The study visualized the relationships of the technology ecosystem with an accuracy of 90-99%. This shows how to measure ecosystem impact and gives firms data-driven insights to improve their ecosystem initiatives. 2025 IEEE.
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Customer Retention; Ecosystem Business Models; Machine Learning; Predictive Modeling
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Institute of Electrical and Electronics Engineers Inc.
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ISBN: 979-833152118-9;
Language
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English
Type
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Conference paper
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Faculty Publications
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Chebbi, Nandan; Mahashabe, Roshan Balaji; Nandi, Somesh; Kumar, Sandeep; Jayanthi, P.N.; Sahana, B.
Title
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K-Nearest Neighbor Optimization of Silver-Graphene Fiber Optic Sensor for Lung Cancer Detection
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01-01-2025
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Smart Innovation, Systems and Technologies;Volume;121 SIST;pp.461-473
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<a href="https://doi.org/10.1007/978-981-96-6254-8_35" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-6254-8_35</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105018909230?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018909230?origin=resultslist</a>
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Chebbi N., Department of ECE, RV College of Engineering, Bengaluru, India; Mahashabe R.B., Department of ECE, RV College of Engineering, Bengaluru, India; Nandi S., Department of AIML, RV College of Engineering, Bengaluru, India; Kumar S., Department of CSE, Christ University, Bengaluru, India; Jayanthi P.N., Department of ECE, RV College of Engineering, Bengaluru, India; Sahana B., Department of ECE, RV College of Engineering, Bengaluru, India
Description
An account of the resource
At nearly 1.8 million deaths annually, lung cancer is among the world's top causes of mortality. Cancer is curable up to a point, after which recovery is extremely challenging. Preventing cancer requires early cancer detection, which localized surface plasmon resonance (LSPR)-based sensors high sensitivity. The phenomenon known as localized surface plasmon resonance (LSPR) occurs when nanoparticles resonate with light at certain wavelengths, leading to the development of characteristics including quick reaction times, adjustable resonance, high sensitivity, and localized light-matter interaction. Since silver-graphene has qualities that make it perfect for cancer detection, it is selected as the material composition. The silver-graphene sensor is utilized for detecting CL1-5 and A549 cell lines, for which the peak of the extinction coefficients was found to be 2.7169 and 1.8592, with a sensitivity of 107 RIU. The Silver-Graphene LSPR sensor interaction with cell lines generated a novel dataset, for which K-Nearest Neighbor Regression has been chosen due to its adaptability and robustness to outliers and has been used to improve the functionality of the sensor by optimizing sensor design, improving sensor sensitivity, and reducing experimental time. With a prediction rate of 99%, KNN and the Silver-Graphene LSPR sensor are an excellent combination for early lung cancer diagnosis. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Subject
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Biosensing; Graphene dioxide; K-nearest neighbor; Localized surface plasmons; Machine learning; Refractive index sensor; Silver nanoparticles
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Springer Science and Business Media Deutschland GmbH
Relation
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ISSN: 21903018; ISBN: 978-981966253-1;
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
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Title
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
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Cheekolu, Karunakar; Babu Kumar, S.; Raju, G.
Title
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Lung Cancer Classification from CT-Scan Images Using an Enhanced VGG16 Model
Date
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01-01-2026
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Lecture Notes in Networks and Systems;Volume;1614 LNNS;pp.467-480
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<a href="https://doi.org/10.1007/978-981-95-2878-3_33" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-95-2878-3_33</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105029561054?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105029561054?origin=resultslist</a>
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Cheekolu K., Department of Computer Science and Engineering, CHRIST University, Bengaluru, India; Babu Kumar S., Department of Computer Science and Engineering, CHRIST University, Bengaluru, India; Raju G., Department of Computer Science and Engineering, CHRIST University, Bengaluru, India
Description
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Lung cancer has been one of the most common and deadly types of cancer around the globe, for which early detection is quite crucial for patient survival. In this research work, a deep learning-based method for four-class classification of chest CT-scan images, such as Squamous Cell Carcinoma, Large Cell Carcinoma, Adenocarcinoma, and Normal, is presented. With a modified VGG16 architecture, adding Squeeze-and-Excitation (SE) blocks and residual connections, the enhanced SERES_VGG16 model enhances feature representation and classification accuracy. The dataset we used here contains preprocessed chest CT-scan images divided into a training set, validation set, and test set. It is trained with augmentation techniques in the data to improve generalization. Its performance is evaluated using measures of standard performances, such as F1-score, recall, precision, accuracy and confusion matrices. The model achieved over 95% accuracy, class-wise precision ranging from 94 to 99%, recall ranging from 88 to 99%, F1-score from 93 to 96%. The presented approach reached over 95% accuracy on the test set and can be a trusted second opinion for radiologists to assist with early and accurate lung cancer subtype classification. However, this study is constrained by the small size of the dataset and the lack of other clinical parameters like genetic information. Future studies will concentrate on expanding the dataset and integrating multi-modal clinical information for enhanced robustness. This work in this study justifies the importance of deep learning in the classification of the medical images and points out further ways toward improving automated diagnostic systems. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
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CT scans; Lung cancer; Residual blocks; Squeeze-and-Excitation; VGG
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Springer Science and Business Media Deutschland GmbH
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ISSN: 23673370; ISBN: 978-981952877-6;
Language
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English
Type
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Conference paper
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Articles
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Title
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Design of Triple Tuned Passive Harmonic Power Filter - A Novel Approach
Subject
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Dynamic loading; passive harmonic filter; single tuned filter (STF); static loading; triple tuned filter
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Nowadays, there is a race between active and passive harmonic filters and still ambiguity persists. It is a proven fact that active harmonic filters (AHFs) are costly solutions though have proved better than passive harmonic filters. Except sizing and resonance problems, tuned passive harmonic filters (TPHFs) are proved to give economical solutions with little compromise on their performance. The accurate design of TPHFs gives a greater impact on its performance. The triple-TPHF (TTPHF) is essential to alleviate first three dominant ac side current harmonics simultaneously at the high voltage direct current (HVdc) converters and it is proved better than the single and double TPHFs. Existing equivalent methods of TTPHF design failed to give satisfactory performance under dynamic conditions. Hence, this article introduces a novel parametric method-based design of TTPHF, which will give better performance under static and dynamic loading conditions. The results also reveal that the proposed TTPHF design method will perform better than the existing methods. 2021 IEEE.
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Cheepati K.R.; Parimalasundar E.; Suresh K.; Rami Reddy C.; Alqahtani M.M.; Khalid M.
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IEEE Canadian Journal of Electrical and Computer Engineering, Vol-46, No. 4, pp. 270-277.
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IEEE Canada
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2023-01-01
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<a href="https://doi.org/10.1109/ICJECE.2023.3296826" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICJECE.2023.3296826</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174843692&doi=10.1109%2FICJECE.2023.3296826&partnerID=40&md5=2b4029bf64d55afadea54701fd690f4e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174843692&doi=10.1109%2fICJECE.2023.3296826&partnerID=40&md5=2b4029bf64d55afadea54701fd690f4e</a>
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ISSN: 26941783
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Online
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English
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Article
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Cheepati K.R., Ksrm College of Engineering (Autonomous), Electrical and Electronics Engineering, Kadapa, 516005, India; Parimalasundar E., Mohan Babu University, Erst while Sree Vidyanikethan Engineering College, Department of Electrical and Electronics Engineering, Tirupati, 517102, India; Suresh K., Christ University, Electrical and Electronics Engineering, Bangalore, 560029, India; Rami Reddy C., Joginpally B.R. Engineering College, Electrical and Electronics Engineering, Hyderabad, 500075, India; Alqahtani M.M., King Khalid University, Department of Industrial Engineering, Abha, 62529, Saudi Arabia; Khalid M., King Fahd University of Petroleum and Minerals, Electrical Engineering Department and Irc for Renewable Energy and Power Systems (IRC-REPS), Dhahran, 31261, Saudi Arabia, SDAIA-KFUPM Joint Research Center for Artificial Intelligence, Dhahran, 31261, Saudi Arabia
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Faculty Publications
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Cheepati, Kumar Reddy; Chandrika, V.S.; Muthukaruppasamy, S.; Kannan, V Kamatchi; Arunraja, A.; Venkatapathi, K.
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Energy Efficiency Enhancement in Wind-Powered Pumping with TBRC MPPT Integration
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01-01-2025
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Proceedings of the 6th International Conference on Smart Electronics and Communication, ICOSEC 2025;pp.793-798
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<a href="https://doi.org/10.1109/ICOSEC67334.2025.11459571" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICOSEC67334.2025.11459571</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037141430?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037141430?origin=resultslist</a>
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Cheepati K.R., Ksrm College Of Engineering, Electrical And Electronics Engineering, Kadapa, India; Chandrika V.S., Kpr Institute Of Engineering And Technology, Electrical And Electronics Engineering, Coimbatore, India; Muthukaruppasamy S., Velammal Institute Of Technology, Electrical And Electronics Engineering, Chennai, India; Kannan V.K., Knowledge Institute Of Technology, Electrical And Electronics Engineering, Salem, India; Arunraja A., Christ Deemed To Be University, Bangalore, India; Venkatapathi K., Sri Venkatesa Perumal College Of Engineering And Technology, Electrical And Electronics Engineering, Puttur, India
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This paper introduces a novel strategy to enhance energy efficiency in a Battery and Wind Energy-based Pumping Scheme (BWEPS) by implementing a Test Bench Rapid Control (TBRC) based Maximum Power Point Tracking (MPPT) system within a LabVIEW SPEEDGOAT environment. Wind Energy Conversion Systems (WECS) are inherently challenged by the stochastic nature of wind, which causes frequent fluctuations in output power and reduces overall efficiency if not properly managed. To address these issues, this study applies TBRC as a real-time control framework, enabling faster response, improved adaptability, and more accurate tracking of the maximum power point under dynamic conditions. The integration of battery storage further contributes to stabilizing system performance by mitigating intermittency and ensuring reliable energy availability for pumping operations. The proposed approach not only develops and validates the TBRC-based MPPT algorithm but also optimizes BWEPS operation and benchmarks it against traditional energy storage and control techniques. Experimental validation through real-time simulation demonstrates significant improvements in energy efficiency, reliability, and operational stability. The outcomes highlight the potential of TBRC-based MPPT control as a promising solution for advancing hybrid renewable energy systems, offering an effective pathway for sustainable and resilient water pumping applications. 2025 IEEE.
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Energy efficiency; Energy storage system; TBRC based MPPT; Wind energy based pumping schemes; Wind power
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Institute of Electrical and Electronics Engineers Inc.
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ISBN: 979-833159859-4;
Language
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English
Type
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Conference paper
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Faculty Publications
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Cheepati, Kumar Reddy; Parimalasundar, E.; Suresh, K.; Rivera, Marco; Rao, M. Nageswara; Pitchai, Aravind
Title
A name given to the resource
Design of a novel shunt active harmonic compensator with AUV-PQ-SRF reference current extraction, OSV-MPC and SMC techniques
Date
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01-01-2025
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Scientific Reports;Volume;15;Issue;1;Article No.;28773;
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<a href="https://doi.org/10.1038/s41598-025-14259-7" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41598-025-14259-7</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105013090699?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013090699?origin=resultslist</a>
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Cheepati K.R., Department of Electrical and Electronics Engineering, KSRM College of Engineering, Kadapa, India; Parimalasundar E., Department of Electrical and Electronics Engineering, Mohan Babu University, Tirupati, India; Suresh K., Department of Electrical and Electronics Engineering, Christ Deemed to be University, Bangalore, India; Rivera M., 4Department of Electrical and Electronics Engineering, University of Nottingham, Nottingham, United Kingdom; Rao M.N., Department of Electrical and Electronics Engineering, UCEK(A), JNTUK, Kakinada, India; Pitchai A., Department of Electrical Engineering, Mattu University, Mattu, Ethiopia
Description
An account of the resource
Harmonic distortion makes it difficult to maintain good Electrical Power Quality (EPQ) in distribution networks with many nonlinear loads. Three significant advances are combined in this papers innovative Shunt Active Harmonic Compensator (SAHC) design: (i) a new technique for extracting reference currents, called AUV-PQ-SRF, which combines the Unit Vector, PQ, and SRF techniques in a unique way to improve harmonic detection; (ii) an OSV-MPC strategy that improves reference current tracking accuracy by doing away with traditional pulse width modulation; and (iii) a Sliding Mode Controller (SMC) for dynamic and reliable DC link voltage regulation under a range of load conditions. The accuracy, robustness, and response time issues with traditional methods are addressed by the suggested approach. Results from simulations conducted in accordance with IEEE-519-2022 standards show a considerable decrease in total harmonic distortion (THD), along with increased power factor and real and reactive power compensation. This study provides a thorough and useful solution for dynamic power quality issues, setting a new standard in active filtering. The Author(s) 2025.
Subject
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AUV-PQ-SRF; Harmonic compensation; Model predictive control; Power quality; Shunt active filter; Sliding mode control
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Nature Research
Relation
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ISSN: 20452322;
Language
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English
Type
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Article
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All Open Access; Gold Open Access; Green Open Access
Format
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online
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Articles
Article
Faculty Publications -Articles
Dublin Core
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Title
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Exploring How Gender and Culture Shape the Lived Experiences of Indian Clients with Emotional Abuse: A Social Justice Approach to Counselling
Subject
The topic of the resource
Counselling psychology; Culture norms; Emotional abuse; Gender norms; India; Social justice
Description
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In this study, we have carried out an in-depth, idiographic exploration of how Indian clients describe their experiences of emotional abuse in a parent-adult child context from a social justice lens. This study focused on the contribution of persisting systemic influences, including gender and culture, in maintaining emotional abuse. We collected data from seven participants through a semi-structured interview schedule, and utilized an interpretative phenomenological analysis for the research design and analysis. Findings indicatedvarious cultural and gender norms were responsible for contributing to and maintaining emotional abuse. The five master themes developed included Unmet Emotional Needs, Mental Health Issues due to Impact of Emotional Abuse, Gender and Culture Norms as Backgrounded, Unfair and Oppressive Norms and Attitudes, and Intergenerational Nature of Norms, Beliefs, and Abuse. Implications for counsellors, policymakers, and researchers in the fields of counselling and psychotherapy, social justice, social psychology, and critical psychology are discussed. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
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Cheguvera N.; Arur A.A.
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International Journal for the Advancement of Counselling, Vol-46, No. 3, pp. 538-566.
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Springer
Date
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2024-01-01
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<a href="https://doi.org/10.1007/s10447-024-09561-4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s10447-024-09561-4</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189791034&doi=10.1007%2Fs10447-024-09561-4&partnerID=40&md5=93c64ecc65d258a36925abca16efed34" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189791034&doi=10.1007%2fs10447-024-09561-4&partnerID=40&md5=93c64ecc65d258a36925abca16efed34</a>
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Restricted Access
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ISSN: 1650653
Format
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Online
Language
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English
Type
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Article
Coverage
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Cheguvera N., Department of Psychology, Christ (Deemed to be University), Hosur Road, Bhavani Nagar, Karnataka, Bengaluru, India; Arur A.A., Department of Psychology, Christ (Deemed to be University), Hosur Road, Bhavani Nagar, Karnataka, Bengaluru, India
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Faculty Publications
Article
Faculty Publications -Articles
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Cheguvera, Natania; Arur, Aditi Ashok
Title
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Exploring Therapeutic Change in Indian Clients Experiencing Emotional Abuse: A Social Justice Approach to Counselling
Date
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01-01-2025
Source
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Counselling and Psychotherapy Research;Volume;25;Issue;1;Article No.;e12908;
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<a href="https://doi.org/10.1002/capr.12908" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/capr.12908</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85218924950?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85218924950?origin=resultslist</a>
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Cheguvera N., Department of Psychology, Christ (Deemed to Be University), Karnataka, Bengaluru, India; Arur A.A., Department of Psychology, Christ (Deemed to Be University), Karnataka, Bengaluru, India
Description
An account of the resource
Background: This study examined the lived experiences of emotional abuse (EA) in Indian parent-adult child relationships, emphasising the intersection of systemic influences in maintaining EA. Employing a social justice framework, the research explored pathways to foster change at both individual and societal levels to address EA. Methods: Data were collected through semi-structured interviews with ten participants undergoing therapy, and analysed using Interpretative Phenomenological Analysis. Results: Four master themes emerged: State of Lack, Lack of Relatability to Gender and Culture Norms, Therapy as a Catalyst for Regaining Sense of Self and Empowerment, and Cultural Shifts, Therapeutic Integration and Redefining Norms to Address Emotional Abuse. Conclusion: The findings emphasise the contribution of gender and cultural norms in the reinforcement of EA, while highlighting therapy's potential in fostering individual healing while advocating for societal transformation. Our study adds valuable literature to the fields of counselling, social justice research, cultural psychology, social psychology, and feminist psychology, and provides a basis for future research. 2025 British Association for Counselling and Psychotherapy.
Subject
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counselling psychology; emotional abuse; gender and culture norms; social justice; therapeutic change
Publisher
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John Wiley and Sons Inc
Relation
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ISSN: 14733145;
Language
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English
Type
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Article
Rights
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All Open Access; Bronze Open Access
Format
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online
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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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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
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Creator
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Chelekkodan, Danish Muneer; Jayapandian, N.; Abhinav, S.; Shyjan, Aaron
Title
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Internet of Things Enabled Smart Hand Gesture Virtual Mouse System
Date
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01-01-2025
Source
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2025 IEEE 14th International Conference on Communication Systems and Network Technologies, CSNT 2025;pp.1165-1170
Identifier
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<a href="https://doi.org/10.1109/CSNT64827.2025.10968594" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/CSNT64827.2025.10968594</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105004553881?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004553881?origin=resultslist</a>
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Chelekkodan D.M., Department of Computer Science and Engineering, Christ University, Kengeri Campus, Bangalore, India; Jayapandian N., Department of Computer Science and Engineering, Christ University, Kengeri Campus, Bangalore, India; Abhinav S., Department of Computer Science and Engineering, Christ University, Kengeri Campus, Bangalore, India; Shyjan A., Department of Computer Science and Engineering, Christ University, Kengeri Campus, Bangalore, India
Description
An account of the resource
This research is aim to focus on IoT based hand gesture model. Mouse is one of the most important input devices of a computer. It works as a pointing device and allows the user to move the pointer as needed by the user. In the early days, a wired mechanical mouse was used for this purpose. In mechanical mouse a ball is fixed underneath the mouse, which rotates as the user moves the mouse. This movement of the ball is used to move the mouse pointer on the screen. Now mostly we use optical mouse which can be wired or wireless. An optical mouse has a high-power laser below it, which takes more than thousand pictures of the surface below the mouse. An image comparator compares the images and sends the signal to move the mouse pointer as the texture of the image changes. Both the types of mouse works based on old technology. As technology leaps to greater heights, the need for simplicity also increases. With the invention of different kind of sensors, microcontrollers and other electronics, we can eliminate the mouse as an input device and instead use our hands to do the work of a mouse. This prototype is an embedded system which runs with the help of an arduino microcontroller. Flex sensors are used to capture the hand gestures. The proposed IoT based hand gesture model is providing high accuracy rate compare to the regular model. The proposed model is analyzed with accuracy level, the average accuracy level of proposed model is more than 90%. 2025 IEEE.
Subject
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Arduino Controller; Computer Vision; Flex Sensors; Hand Gesture; Internet of Things; Virtual Mouse
Publisher
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Institute of Electrical and Electronics Engineers Inc.
Relation
A related resource
ISBN: 979-833153193-5;
Language
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English
Type
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Conference paper
Rights
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Restricted Access; Hardcopy may be available in the library
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Dublin Core
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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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Facile synthesis of Bi2WO6-NiO nanocomposite for supercapacitor application
Subject
The topic of the resource
Cyclic voltammetry; Energy conversion and storage; High energy density; Supercapacitor
Description
An account of the resource
In order to prepare for future high-power storage-related applications, a tremendous amount of studies have been conducted on the manufacturing of high-performance supercapacitor electrodes. The hydrothermal technique was used to synthesize Bi2WO6NiO nanocomposite (NC), which was examined using FTIR, XRD, HR-TEM, EDX, FESEM, and XPS techniques. Furthermore, the Bi2WO6-NiO NC performs with an elevated specific capacity of 398.2C/g at 10 mV/s. The charge transfer resistance (Rct) and solution resistance (Rs) of Bi2WO6-NiO NC were determined as 0.81 and 0.23 ? using electrochemical impedance spectra (EIS). Bi2WO6-NiO NC extended the chargedischarge time and rate capacities, as shown by the galvanostatic chargedischarge (GCD) analysis. Even after 2000 cycles, Bi2WO6-NiO NC cyclic stability was superior with a capacitive retention of 89.3 %. A power density of 6750 W/kg resulted from the constructed asymmetric supercapacitor (ASC) device based on Bi2WO6-NiO/AC, exhibiting an energy density of 32.5 Wh/kg. Additionally, the ASC maintains high cyclic stability with 90.8 % of initial capacity, even after 2000 chargedischarge cycles in a row. 2024 Elsevier B.V.
Creator
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Chelladurai A.; Veerasingam M.; Kesavan T.; Alotaibi N.H.; Sangaraju S.; Muthusamy K.K.; Sonaimuthu M.; Sakkarapani S.
Source
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Materials Science and Engineering: B, Vol-313
Publisher
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Elsevier Ltd
Date
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2025-01-01
Identifier
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<a href="https://doi.org/10.1016/j.mseb.2024.117939" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.mseb.2024.117939</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212339247&doi=10.1016%2Fj.mseb.2024.117939&partnerID=40&md5=bb67aa4a17865bf97f078614de43c606" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212339247&doi=10.1016%2fj.mseb.2024.117939&partnerID=40&md5=bb67aa4a17865bf97f078614de43c606</a>
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Restricted Access
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A related resource
ISSN: 9215107; CODEN: MSBTE
Format
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Online
Language
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English
Type
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Article
Coverage
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Chelladurai A., Department of Physics, Alagappa University, Tamilnadu, Karaikudi, 630 003, India; Veerasingam M., Department of Chemistry, Mount Zion College of Engineering and Technology, Thirumayam, Pudukkottai, 622 507, India; Kesavan T., Department of Physics, Bharath Institute of Higher Education and Research, Chennai, 600073, India; Alotaibi N.H., Department of Chemistry, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia; Sangaraju S., National Water and Energy Center, United Arab Emirates University, Al Ain, 15551, United Arab Emirates; Muthusamy K.K., Department of Physics and Electronics, CHRIST University, Bengaluru, 560 029, India; Sonaimuthu M., School of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, South Korea; Sakkarapani S., Department of Physics, Alagappa University, Tamilnadu, Karaikudi, 630 003, India
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Dublin Core
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Title
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Book Chapter
Book Chapter
Faculty Publications- Book Chapter
Dublin Core
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Title
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Genetic Algorithms for Graph Theoretic Problems
Description
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[No abstract available]
Creator
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Chelladurai X.; Kureethara J.V.
Source
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Bio-Inspired Computational Paradigms: Security and Privacy in Dynamic Smart Networks, pp. 36-63.
Publisher
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CRC Press
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.1201/9781003248545-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003248545-3</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198303723&doi=10.1201%2F9781003248545-3&partnerID=40&md5=19cf6358d544ba2dde75b663d82d248b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198303723&doi=10.1201%2f9781003248545-3&partnerID=40&md5=19cf6358d544ba2dde75b663d82d248b</a>
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Restricted Access
Relation
A related resource
ISBN: 978-104004450-6; 978-103216429-8
Format
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Online
Language
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English
Type
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Book chapter
Coverage
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Chelladurai X., Christ University, Bangalore, India; Kureethara J.V., Christ University, Bangalore, India