Predictive Analysis to Improve Crop Yield using a Neural Network Model. - Shruti Kulkarni; Shah Nawaz Mandal; G. Srivatsa Sharma; Monica R. Mundada; Meeradevi (ICACCI, 2018)

A Hybrid Approach of Deep Learning with Cognitive Particle Swarm Optimization for the Big Data Analytics. - Sandeepkumar Hegde; Monica R. Mundada (ICCCNT, 2018)

Early prediction of chronic disease using an efficient machine learning algorithm through adaptive probabilistic divergence based feature selection approach. - Sandeepkumar Hegde; Monica R. Mundada (Int. J. Pervasive Comput. Commun., 2021)

Mayfly Taylor Optimisation-Based Scheduling Algorithm with Deep Reinforcement Learning for Dynamic Scheduling in Fog-Cloud Computing. - G. Shruthi; Monica R. Mundada; B. J. Sowmya; S. Supreeth (Appl. Comput. Intell. Soft Comput., 2022)

Recursive subspace based feature selection approach for early risk prediction of chronic disease in patients. - Sandeepkumar Hegde; Monica R. Mundada (Int. J. Bioinform. Res. Appl., 2022)

Hybrid generative regression-based deep intelligence to predict the risk of chronic disease. - Sandeepkumar Hegde; Monica R. Mundada (Int. J. Intell. Comput. Cybern., 2022)

Resource Allocation Using Weighted Greedy Knapsack Based Algorithm in an Educational Fog Computing Environment. - G. Shruthi; Monica R. Mundada; S. Supreeth (Int. J. Emerg. Technol. Learn., 2022)

An Efficient Framework for Web Content Mining Systems Using Improved CD-PAM Clustering and the A-CNN Technique. - Manjunath Pujar; Monica R. Mundada; B. J. Sowmya; S. Supreeth; G. Shruthi (SN Comput. Sci., 2023)

DeepDerm: Elevating Precision in Dermatological Diagnosis with Enhanced CNN. - Monica R. Mundada; S. Seema; Sowmya B. J.; Sonia Fathima Student (ICCCNT, 2024)

Skin Cancer Prediction by Incorporating Bio-inspired Optimization in Deep Neural Network. - Monica R. Mundada; B. J. Sowmya; S. Supreeth; Smitha G. Prabhu; K. Mahesh; Y. Vishwanath; S. Rohith (SN Comput. Sci., 2024)