Paper Published

1. P. Kumari and A. Jijja, “Sentiment analysis on online social networking data for the identification of depression using several AI techniques: A literature review,” 2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI), Nov. 2023. doi:10.1109/iccsai59793.2023.10420945

2. Rachit, Sarika Madavi, Rani, U., Kumari, P., & Shilpa Suhag. (2023). Smart Energy Guardians: Neural Network Empowered Routing in Wireless Sensor Networks for IoT. https://doi.org/10.1109/smarttechcon57526.2023.10391338

3. Kadian, R., Rohilla, A., & Kumari, P. (2023). Scalability and Applicability of IoT-WSNBased Energy Efficiency Protocols: Extending the Lifespan of Large-Scale Networks. International Journal of Recent Research Aspects, 10(1).

4. Rathee, V., Vadhera, R., & Kumari, P. (2023). Comparison of Machine Learning Models to Predict Heart Attack: A Review. Mathematical Statistician and Engineering Applications, 72(1), 1265-1273.

5. Prasad, J., Hari, P. B., & Kumari, P. (2023). Enhancing security in wireless sensor networks with key management techniques. Journal of Computer Science Engineering and Software Testing, 9(2), 5–16. doi:10.46610/jocses.2023.v09i02.002

6. Rathee, V., Vadhera, R., & Kumari, P. (2023). Comparison of Machine Learning Models to Predict Heart Attack. Mathematical Statistician and Engineering Applications, 72(1), 1255-1264.

7. Saigal, M., & Kumari, P. (n.d.). Wireless sensors in general anesthesia- An update. Retrieved from https://www.ijfmr.com/research-paper.php?id=4575