Mahesh Thyluru Ramakrishna (T R Mahesh)

Publication Activity (10 Years)

Years Active: 2022-2023
Publications (10 Years): 7

Top Topics

Machine Learning

Convolutional Neural Network

Childhood Cancer

Top Venues

Entropy (Basel, Switzerland)

Computational intelligence and neuroscience

Contrast media & molecular imaging

Diagnostics (Basel, Switzerland)

This page only lists publications with an associated author ORCID identifier.

Publications

Mahesh Thyluru Ramakrishna, Vinoth Kumar Venkatesan, Ivan Izonin, Myroslav Havryliuk, Chandrasekhar Rohith Bhat
Homogeneous Adaboost Ensemble Machine Learning Algorithms with Reduced Entropy on Balanced Data. Entropy (Basel, Switzerland) 25 (2) (2023)
Umamaheswaran Subashchandrabose, Rajan John, Usha Veerasamy Anbazhagu, Vinoth Kumar Venkatesan, Mahesh Thyluru Ramakrishna
Ensemble Federated Learning Approach for Diagnostics of Multi-Order Lung Cancer. Diagnostics (Basel, Switzerland) 13 (19) (2023)
Mahesh Thyluru Ramakrishna, Vinoth Kumar Venkatesan, Ivan Izonin, Myroslav Havryliuk, Chandrasekhar Rohith Bhat
Homogeneous Adaboost Ensemble Machine Learning Algorithms with Reduced Entropy on Balanced Data. Entropy (Basel, Switzerland) 25 (2) (2023)
Mahesh Thyluru Ramakrishna, Vinoth Kumar Venkatesan, Ivan Izonin, Myroslav Havryliuk, Chandrasekhar Rohith Bhat
Homogeneous Adaboost Ensemble Machine Learning Algorithms with Reduced Entropy on Balanced Data. Entropy (Basel, Switzerland) 25 (2) (2023)
Mahesh Thyluru Ramakrishna, Venkatesan Dhilip Kumar, Vinoth Kumar Venkatesan, Junaid Asghar, Banchigize Mekcha Bazezew, Rajesh Natarajan, V Vivek
Blended Ensemble Learning Prediction Model for Strengthening Diagnosis and Treatment of Chronic Diabetes Disease. Computational intelligence and neuroscience 2022 (2022)
Bhargavi Mokashi, Vandana S Bhat, Jagadeesh D Pujari, S Roopashree, Mahesh Thyluru Ramakrishna, D Stalin Alex
Efficient Hybrid Blind Watermarking in DWT-DCT-SVD with Dual Biometric Features for Images. Contrast media & molecular imaging 2022 (2022)
Mahesh Thyluru Ramakrishna, V Dhilip Kumar, Vinoth Kumar Venkatesan, Junaid Asghar, Oana Geman, G Arulkumaran, N Arun
AdaBoost Ensemble Methods Using K-Fold Cross Validation for Survivability with the Early Detection of Heart Disease. Computational intelligence and neuroscience 2022 (2022)