Vehicular Ad hoc Networks: A hybrid approach to data dissemination in exigency situations. - G. Jaya Suma; R. V. S. Lalitha (Wirel. Networks, 2016)

Boosting Accuracy of Machine Learning Classifiers for Heart Disease Forecasting. - Divya Lalita Sri Jalligampala; R. V. S. Lalitha; M. Anil Kumar; Nalla Akhila; Sujana Challapalli; P. N. S. Lakshmi (FICTA (1), 2021)

Proposing a reliable method of securing and verifying the credentials of graduates through blockchain. - T. Rama Reddy; P. V. G. D. Prasad Reddy; Rayudu Srinivas; Ch. V. Raghavendran; R. V. S. Lalitha; B. Annapurna (EURASIP J. Inf. Secur., 2021)

Efficient adaptive enhanced adaboost based detection of spinal abnormalities by Machine learning approaches. - R. V. S. Lalitha; P. E. S. N. Krishna Prasad; T. Rama Reddy; Kayiram Kavitha; Rayudu Srinivas; B. Ravi Kiran 002 (Biomed. Signal Process. Control., 2023)

Empowering autonomous indoor navigation with informed machine learning techniques. - G. Uganya; I. Bremnavas; K. V. Prashanth; M. Rajkumar; R. V. S. Lalitha; Charanjeet Singh (Comput. Electr. Eng., 2023)

Robust fuzzy logic schemes for cooperative spectrum sharing in 5G networks with uncertain channel conditions. - B. B. Shankar; M. Udhayamoorthi; Y. M. Latha; R. V. S. Lalitha; A. Prakash; Vinodh P. Vijayan (Comput. Electr. Eng., 2024)

Interactive robots for personalised multimodal comedy experiments. - K. Ashok; P. Anu; K. C. Rajheshwari; R. V. S. Lalitha; Ravi Kumar Tata; A. Kavitha (Entertain. Comput., 2025)

Adaptive mixed reality robotic games for personalized consumer robot entertainment. - Ajmeera Kiran; J. Refonaa; Muhammad Nabeel; N. Navaprakash; Vuyyuru Lakshma Reddy; R. V. S. Lalitha (Entertain. Comput., 2025)