Items where Author is "Kalaiselvi, K."
Persis, P. Keren and Subramanian, P. and Aalam, Shiek and Kalaiselvi, K. and Jeyalaksshmi, S. and Sonawane, Pavankumar Ravindra (2024) A horizontal analysis on second life potentials of lithium ion batteries with its challenges involved. In: FOURTH INTERNATIONAL CONFERENCE ON ADVANCES IN PHYSICAL SCIENCES AND MATERIALS: ICAPSM 2023, 17–18 August 2023, Coimbatore, India.
Sujarani, Pulla and Yogeshwari, M. and Kalaiselvi, K. (2023) Early Identification of Cancer Blood Disorder Using Deep Convolutional Neural Networks. In: ICIMMI 2023: International Conference on Information Management & Machine Intelligence, 23 11 2023 25 11 2023, Jaipur India.
Karthika, D. and Kalaiselvi, K. (2023) Parallel progressive-based inductive subspace and fuzzy-based firefly algorithm for high ensemble data clustering. International Journal of Cloud Computing, 12 (2/3/4). p. 224. ISSN 2043-9989
Jayashri, N. and Kalaiselvi, K. (2023) Secured file transmission in knowledge management-cloud. International Journal of Cloud Computing, 12 (2/3/4). p. 246. ISSN 2043-9989
Jaya, A. and Kalaiselvi, K. and Goyal, Dinesh and AL‐Jumeily, Dhiya (2022) Handbook of Intelligent Healthcare Analytics: Knowledge Engineering with Big Data Analytics. Wiley. ISBN 9781119792550
Karthika, D. and Kalaiselvi, K. (2022) An Introduction to Knowledge Engineering and Data Analytics: Knowledge Engineering with Big Data Analytics. In: Handbook of Intelligent Healthcare Analytics. Wiley, pp. 1-20. ISBN 9781119792550
Angel Cerli, A. and Kalaiselvi, K. and Varadarajan, Vijayakumar (2022) Secure Healthcare Systems Based on Big Data Analytics: Knowledge Engineering with Big Data Analytics. In: Handbook of Intelligent Healthcare Analytics. Wiley, pp. 189-211. ISBN 9781119792550
Kalaiselvi, K. and V. J. Sara, S. Belina (2022) A Hybrid Filter Wrapper Embedded-Based Feature Selection for Selecting Important Attributes and Prediction of Chronic Kidney Disease. In: A Hybrid Filter Wrapper Embedded-Based Feature Selection for Selecting Important Attributes and Prediction of Chronic Kidney Disease. Springer, pp. 137-153.
Kalaiselvi, K. and V. J. Sara, S. Belina (2022) A Hybrid Filter Wrapper Embedded-Based Feature Selection for Selecting Important Attributes and Prediction of Chronic Kidney Disease. In: A Hybrid Filter Wrapper Embedded-Based Feature Selection for Selecting Important Attributes and Prediction of Chronic Kidney Disease. Springer, pp. 137-153.
Karthik, D. and Kalaiselvi, K. (2022) MRMR-GWICA: A hybrid gene selection and ensemble clustering framework for breast cancer gene expression data. In: RECENT TRENDS IN SCIENCE AND ENGINEERING, 27–28 February 2021, Krishnagiri, India.
Naveen, P. V. and Kalaiselvi, K. (2022) A novel method for mobile cloud computing security system. In: RECENT TRENDS IN SCIENCE AND ENGINEERING, 27–28 February 2021, Krishnagiri, India.
Karthika, D. and Kalaiselvi, K. (2021) Emerging Technologies for Handling Pandemic Challenges: A Roadmap Using AI, Machine Learning, IoT and Cognitive Technologies. In: Enabling Healthcare 4.0 for Pandemics. Wiley, pp. 91-115. ISBN 9781119769088
Karthika, D. and Kalaiselvi, K. (2021) A Study on Effective Clustering Methods and Optimization Algorithms for Big Data Analytics. 2020 International Conference on Smart Electronics and Communication (ICOSEC). pp. 14-20.
Jayashri, N. and Kalaiselvi, K. (2021) Cloud Cryptography for Cloud Data Analytics in IoT. In: Machine Learning Approach for Cloud Data Analytics in IoT. Wiley, pp. 119-142. ISBN 9781119785873
Deepika, M. and Kalaiselvi, K. (2021) Machine Learning–Based Data Analysis. In: Machine Learning Approach for Cloud Data Analytics in IoT. Wiley, pp. 1-24. ISBN 9781119785873
Sowmiya, J. and Kalaiselvi, K. (2021) Predicting Instructor Performance in Higher Education Using Intelligent Agent Systems. EAI Endorsed Transactions on Energy Web. p. 164584. ISSN 2032-944X
Karthika, D. and Kalaiselvi, K. (2021) Big Data. In: EAI/Springer Innovations in Communication and Computing. Springer, pp. 33-56.
Jayashri, N. and Kalaiselvi, K. (2021) Collaborative Approaches for Security of Cloud and Knowledge Management Systems: Benefits and Risks. In: EAI/Springer Innovations in Communication and Computing. Springer, pp. 69-76.
Sowmiya, J. and Kalaiselvi, K. (2021) Modelling higher education environment based on knowledge system transfer between instructor and learners using genetic algorithm. International Journal of System of Systems Engineering, 11 (3/4). p. 268. ISSN 1748-0671
Sangeetha, G. and Kalaiselvi, K. (2020) Efficient Hybrid Method for Intrinsic Security Over Wireless Sensor Network. In: Efficient Hybrid Method for Intrinsic Security Over Wireless Sensor Network. Springer, pp. 613-624.
Sara, S. Belina V. J. and Kalaiselvi, K. (2020) Feature Selection and Ensemble Entropy Attribute Weighted Deep Neural Network (EEAw-DNN) for Chronic Kidney Disease (CKD) Prediction. In: Feature Selection and Ensemble Entropy Attribute Weighted Deep Neural Network (EEAw-DNN) for Chronic Kidney Disease (CKD) Prediction. Springer, pp. 1232-1247.
Sowmiya, J. and Kalaiselvi, K. (2020) Instructor Performance Evaluation Through Machine Learning Algorithms. In: Computational Vision and Bio-Inspired Computing. Springer, pp. 751-767.
Angel Cerli, A. and Kalaiselvi, K. (2020) Retrospective Analysis of Wireless Body Area Network. In: Retrospective Analysis of Wireless Body Area Network. Springer, pp. 523-529.
Vigneshwari, K. and Kalaiselvi, K. (2020) Review of Parallel Processing Methods for Big Image Data Applications. In: Review of Parallel Processing Methods for Big Image Data Applications. Springer, pp. 105-116.
Ramesh, M. and Saravanan, S. and Sugumar, S. N. and Kalaiselvi, K. and Rajarethinam, E. (2019) Human Development in India with Special Reference to Health. Indian Journal of Public Health Research & Development, 10 (12). p. 604. ISSN 0976-0245
Kalaiselvi, K. and Jagadeesan, P. and Ramesh, M. (2019) A Study on Welfare Measure of LIC Employees with Special Reference to Salem Division of Tamilnadu. Indian Journal of Public Health Research & Development, 10 (12). p. 609. ISSN 0976-0245
Kalaiselvi, K. and Karunya, S (2019) Understanding Special Education Teachers’ Perspectives on Professionalism in Educating Autistic Students. International Journal of Recent Technology and Engineering, 8 (2S3). pp. 431-435. ISSN 2277-3878
Kalaiselvi, K. and Vetrivel, M. (2019) A Study on Attitude of Female Teachers Towards Inclusive Educationwth Special Reference to Schools in Chennai District. Indian Journal of Public Health Research & Development, 10 (11). p. 443. ISSN 0976-0245
Deepika, M. and Kalaiselvi, K. (2018) A Contemplative Analysis of Thyroid Disorders based on ECG Signal and Thyroid Test Measure. EAI Endorsed Transactions on Energy Web. p. 166006. ISSN 2032-944X
Cerli, A. and Kalaiselvi, K. (2018) Effort-based Least Cost Path Link State Scheme for Wireless Body Area Networks using MOD-LEACH Protocol. EAI Endorsed Transactions on Energy Web. p. 165280. ISSN 2032-944X
Deepika, M. and Kalaiselvi, K. (2018) A Empirical study on Disease Diagnosis using Data Mining Techniques. In: 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT), Coimbatore.
Kalaiselvi, K. and Karunya, S. (2017) Tracking system — A proposed model on literature review. In: 2017 International Conference on Inventive Computing and Informatics (ICICI), Coimbatore.
Kalaiselvi, K. and Cerli, A. Angel (2017) A pragmatic implementation of energy efficiency in the wireless body area network using CASTALIA. In: 2017 International Conference on Inventive Computing and Informatics (ICICI), Coimbatore.
Kalaiselvi, K. and Sara, V J Belina (2017) Privacy preserving in data mining classification and visualization: Empirical study. In: 2017 2nd International Conference on Communication and Electronics Systems (ICCES), Coimbatore.
Angel Cerli1, A. and Kalaiselvi, K. Energy Efficient Cross- Layer (EECL) Approach for WBAN using Hybrid Protocol. Energy Efficient Cross- Layer (EECL) Approach for WBAN using Hybrid Protocol.