Monica R. Mundada

According to our database, Monica R. Mundada authored at least 11 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Smart Multimodal System for Early Diagnosis of Thyroid Dysfunction Using IoT Sensors and Deep Neural Networks.

Akshatha Kamath, Monica R. Mundada, B. J. Sowmya, S. Seema, K. Kshreeraja

SN Comput. Sci., June, 2026

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., December, 2024

DeepDerm: Elevating Precision in Dermatological Diagnosis with Enhanced CNN.

Monica R. Mundada, S. Seema, Sowmya B. J., Sonia Fathima Student

Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2023

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., September, 2023

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., September, 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

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

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

2021

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

2018

A Hybrid Approach of Deep Learning with Cognitive Particle Swarm Optimization for the Big Data Analytics.

Sandeepkumar Hegde, Monica R. Mundada

Proceedings of the 9th International Conference on Computing, 2018

Predictive Analysis to Improve Crop Yield using a Neural Network Model.

Shruti Kulkarni, Shah Nawaz Mandal, G. Srivatsa Sharma, Monica R. Mundada, Meeradevi

Proceedings of the 2018 International Conference on Advances in Computing, 2018