Items where Author is "Kalaiselvi, K."

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Number of items: 43.

Article

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

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.

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

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

D., Karthika and Kalaiselvi, K. (2020) A Comparative Study of Incremental Semi-Supervised Subspace Clustering Ensemble Approaches and Performance Outcomes for High Dimensional Data. Journal of Advanced Research in Dynamical and Control Systems, 24 (4). pp. 195-202. ISSN 1943023X

Angel Cerli1, A. and Kalaiselvi, K. (2020) Energy Efficient Cross- Layer (EECL) Approach for WBAN using Hybrid Protocol. Energy Efficient Cross- Layer (EECL) Approach for WBAN using Hybrid Protocol.

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

Book Section

Sujarani, Pulla and Kalaiselvi, K. (2024) Image Analysis for Health Prediction. In: Artificial Intelligence‐Based System Models in Healthcare. Wiley, pp. 205-228. ISBN 9781394242528

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.

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

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

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.

Kalaiselvi, K. and Thirumurthi Raja, A. (2020) Big Data Analytics and Intelligence: A Perspective for Health Care. In: Big Data Analytics and Intelligence: A Perspective for Health Care. Emerald Publishing Limited, pp. 1-16. ISBN 978-1-83909-099-8

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.

Kalaiselvi, K. and Karthika, D. (2020) Identifying Diseases and Diagnosis Using Machine Learning. In: Machine Learning with Health Care Perspective. Springer, pp. 391-415.

Sowmiya, J. and Kalaiselvi, K. (2020) Instructor Performance Evaluation Through Machine Learning Algorithms. In: Computational Vision and Bio-Inspired Computing. Springer, pp. 751-767.

Jayashri, N. and Kalaiselvi, K. and Aravind, V. (2020) Knowledge—Guru System Using Content Management for an Education Domain: Selected works presented at the ICCVBIC 2018, Coimbatore, India. In: New Trends in Computational Vision and Bio-inspired Computing. Springer International Publishing, Cham, pp. 1591-1603. ISBN 978-3-030-41862-5

Kalaiselvi, K. and Deepika, M. (2020) Machine Learning for Healthcare Diagnostics. In: Learning and Analytics in Intelligent Systems ((LAIS,volume 13)). Springer Nature Link, pp. 91-105.

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.

Conference or Workshop Item

Sujarani, Pulla and Sujatha, P. and Kalaiselvi, K. (2025) An Efficient Deep Learning Framework for Automatic Identification of Pediatric Cancer Blood Disorder. In: 2025 11th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India.

Kalaiselvi, K. and Sujarani, Pulla and Jayalakshmi, S. (2025) A Novel Method of Chronic Kidney Disease Detection Based on Deep Learning Technique. In: 2025 11th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India.

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.

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.

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.

Book

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

This list was generated on Sun Dec 7 14:20:34 2025 IST.