Gradient Boosting classifier performance evaluation using Generative Adversarial Networks. - P. Lavanya; Rimjhim Padam Singh; U. Kumaran; Priyanka Kumar (ICMLDE, 2023)

Silent Threats: Monitoring Insider Risks in Healthcare Sector. - P. Lavanya; V. S. Venkata Raman; S. Srinath Gosakan; Anila Glory H.; V. S. Shankar Sriram (ATIS, 2024)

An innovation analysis of Machine Learning model to Automate Network Anomaly Detection through Time Series Analysis. - Aruna Sri Rongali; Anjum Nazir Qureshi; Jyoti Upadhyay; P. Lavanya; Nanditha S. Matad; Sanjiv Kumar Jain (ICCCNT, 2024)

Mitigating Insider Threat: A Neural Network Approach for Enhanced Security. - P. Lavanya; Anila Glory H.; V. S. Shankar Sriram (IEEE Access, 2024)

An Intelligent Health Surveillance System: Predictive Modeling of Cardiovascular Parameters through Machine Learning Algorithms Using LoRa Communication and Internet of Medical Things (IoMT). - P. Lavanya; I. V. Subba Reddy; V. Selvakumar; Shreesh V. Deshpande (J. Internet Serv. Inf. Secur., 2024)

A novel lung cancer detection adopting Radiomic feature extraction with Locust assisted CS based CNN classifier. - P. Lavanya; K. Vidhya (Biomed. Signal Process. Control., 2025)

Investigations on a compact self-isolated flag-shaped slotted MIMO antenna for triple-band applications. - S. Rekha; G. Shine Let; S. Radha; P. Lavanya; T. Rajasekhar; S. Ravi Chand (Int. J. Commun. Syst., 2025)