Ms. Valarmathi V MCA.,M.Phil., SET., NET.,

https://scholar.google.com/citations?user=wIfjgpIAAAAJ&hl=en&authuser=1

https://www.scopus.com/authid/detail.uri?authorId=58110188000

1.      Valarmathi, V., & Dhanalakshmi, S. (2024). Internet of Traffic Surveillance System (IoTSS) With Genetic Algorithm for Optimized Weather-Adaptive Traffic Monitoring. In Ramkumar, Jaganathan., Shilpa, Mehta., & Ram, Krishan. (Eds.). Bio-Inspired Intelligence for Smart Decision-Making. (pp. 1-25). IGI Global. Scopus Indexed.

2.      Suchitra, B. & Valarmathi, V., (2024). Acute Analysis of Bioinspired Optimization Algorithms for Diabetic Debrecen. In Ramkumar, Jaganathan., Shilpa, Mehta., & Ram, Krishan. (Eds.). Intelligent Decision making through Bio-Inspired Optimization. ISBN: 979-8-3693-2073-0. (pp.40-50). IGI Global. Scopus Indexed

3.      Valarmathi, V., & Suchitra, B. (2023). Introduction to MongoDB: A Review. In Dr. Vignesh Ramamoorthy. H & Dr. N. Priyadharshini (Eds.).  Advances in Multidisciplinary & Current Research. . (pp. 171-180).  R K Publishers. ISBN : 978-93-5813-019-5

4.      Suchitra, B. & Valarmathi, V., (2024). Exploring Visualization Tools for Better Insights. Futuristic Trends in Artificial Intelligence Volume 3 Book 5. (pp. 17- 22).  e-ISBN: 978-93-6252-373-0.  IIP Series

5.      Valarmathi, V. (2024). Helmet Detection using Convolutional Neural Networks: Enhancing Safety in Various Environments. In Dr.K.P.Malarkodi & M.Jenifer (Eds.), Cognitive Computing. (pp. 280 – 288). ISBN: 978-81-970764-9-7. Sri Krishna Arts and Science College.

6.      Malini., & Valarmathi, V. (2024). Comparative Analysis of KNN, SVM, Naive Bayes and Linear Regression for Cancer Classification. In Dr.K.P.Malarkodi & M.Jenifer (Eds.), Cognitive Computing. (pp. 414 – 428). ISBN: 978-81-970764-9-7. Sri Krishna Arts and Science College.

7.      Valarmathi, V., & Dhanalakshmi, S. (2024). Integrating Object Detection and Classification in Traffic Surveillance for Overcoming Covid Variants. In Dr.B.Suchitra & Dr.K.Gomathi (Eds.), ICCSR Sponsored Seminar Proceeding. Holistic Health and Community Resilience Against Covid Variants for a Prosperous Future. (pp. 215 – 223). ISBN: 9788197076435. Department of Information Technology and Cognitive Systems, Sri Krishna Arts and Science College.

8.      Suchitra, B., & Valarmathi, V. (2023). Integrating Data Ethics to Operationalize Data Principles. In J. Ramkumar & D.R. Medhunhashini (Eds.), ICCSR Sponsored Seminar Proceeding. Intelligence Reform: Enhancing National Security Through Effective Intelligence Practices. Department of Information Technology and Cognitive Systems, Sri Krishna Arts and Science College. (pp. 411 - 414). ISBN: - 978-81-962641-7-8

9.      Valarmathi,V., & Suchitra, B. (2023). Ensuring National Security Through Environmental Stewardship. In J. Ramkumar & D.R. Medhunhashini (Eds.), ICCSR Sponsored Seminar Proceeding. Intelligence Reform: Enhancing National Security Through Effective Intelligence Practices. Department of Information Technology and Cognitive Systems, Sri Krishna Arts and Science College. (pp. 377 - 384). ISBN: - 978-81-962641-7-8

10.   Valarmathi,V., & Dhanalakshmi, S. (2024). Navigating The Roads: Understanding Social Issues In Road Safety And Traffic Management. In Dr. R.Jagajeevan, Dr. KR.Senthilkumar & Dr. S.Sangeetha (Eds.), ICCSR Sponsored Seminar Proceeding. Innovative Research Practices in Social Sciences/ Breaking Boundaries: Advancements in Social Science Research. Department of Library, Sri Krishna Arts and Science College. (pp. 240 - 247). ISBN: - 978-81-969021-9-3

11.   Valarmathi,V. (2024). Revolutionizing Healthcare: The Transformative Power of Artificial Intelligence. In Dr. R.Jagajeevan, Dr. KR.Senthilkumar & Dr. S.Sangeetha (Eds.),  Innovative Research Practices in Social Sciences/ Breaking Boundaries: Advancements in Social Science Research. Department of Library, Sri Krishna Arts and Science College. (pp. 272 - 283). ISBN: - 978-81-969021-9-3