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ORCIDMahesh Thylore Ramakrishna
Person information
- affiliation: Jain (Deemed-to-be University), Bangalore, India
- affiliation (former): T John Institute of Technology, Bengaluru, India
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2020 – today
- 2024
[j23]T. R. Mahesh
, D. Santhakumar, A. Balajee, H. S. Shreenidhi, V. Vinoth Kumar, Jonnakuti Rajkumar Annad:
Hybrid Ant Lion Mutated Ant Colony Optimizer Technique With Particle Swarm Optimization for Leukemia Prediction Using Microarray Gene Data. IEEE Access 12: 10910-10919 (2024)- [j22]N. Bharanidharan, S. R. Sannasi Chakravarthy, Vinoth Kumar Venkatesan, Mohamed Abbas, Mahesh Thylore Ramakrishna, Mohan Ellappan, Krishnamoorthy Venkatesan:
Local Entropy Based Remora Optimization and Sparse Autoencoders for Cancer Diagnosis Through Microarray Gene Expression Analysis. IEEE Access 12: 39285-39299 (2024) - [j21]Mahesh Thylore Ramakrishna, Saravanan Chandrasekaran, V. Ashwin Ram, Vinoth Kumar Venkatesan, V. Vivek, Suresh Guluwadi:
Data-Driven Intelligent Condition Adaptation of Feature Extraction for Bearing Fault Detection Using Deep Responsible Active Learning. IEEE Access 12: 45381-45397 (2024) - [j20]S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, Suresh Guluwadi:
Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer. BMC Medical Imaging 24(1): 82 (2024) - [j19]U. V. Anbazhagu, V. R. Niveditha, Chandrasekhar Rohith Bhat, T. R. Mahesh, Vinoth Kumar Venkatesan, B. Swapna:
High-Performance Technique for Item Recommendation in Social Networks using Multiview Clustering. Int. J. Comput. Commun. Control 19(1) (2024) - [j18]T. R. Mahesh, Arastu Thakur, Muskan Gupta, Deepak Kumar Sinha, Kritika Kumari Mishra, Vinoth Kumar Venkatesan, Suresh Guluwadi:
Transformative Breast Cancer Diagnosis using CNNs with Optimized ReduceLROnPlateau and Early Stopping Enhancements. Int. J. Comput. Intell. Syst. 17(1): 14 (2024) - [j17]S. R. Sannasi Chakravarthy, Bharanidharan Nagarajan, Vinoth Kumar Venkatesan, T. R. Mahesh, R. Sivakami, Jonnakuti Rajkumar Annad:
Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization. Int. J. Comput. Intell. Syst. 17(1): 18 (2024) - [j16]T. R. Mahesh, Vinoth Kumar Venkatesan, V. Vivek, K. M. Karthick Raghunath, G. Sindhu Madhuri:
Early predictive model for breast cancer classification using blended ensemble learning. Int. J. Syst. Assur. Eng. Manag. 15(1): 188-197 (2024) - 2023
- [j15]Kesavan Gunasekaran, Vinoth Kumar Venkatesan, A. C. Kaladevi, T. R. Mahesh, Chandrasekhar Rohith Bhat, Krishnamoorthy Venkatesan:
Smart Decision-Making and Communication Strategy in Industrial Internet of Things. IEEE Access 11: 28222-28235 (2023) - [j14]B. Naveen Kumar, T. R. Mahesh, G. Geetha, Suresh Guluwadi:
Redefining Retinal Lesion Segmentation: A Quantum Leap With DL-UNet Enhanced Auto Encoder-Decoder for Fundus Image Analysis. IEEE Access 11: 70853-70864 (2023) - [j13]Naiwrita Borah, Udayan Baruah, Mahesh Thylore Ramakrishna, Vinoth Kumar Venkatesan, D. Ramya Dorai, Jonnakuti Rajkumar Annad:
Efficient Assamese Word Recognition for Societal Empowerment: A Comparative Feature-Based Analysis. IEEE Access 11: 82302-82326 (2023) - [j12]N. Bharanidharan, S. R. Sannasi Chakravarthy, Harikumar Rajaguru, Vinoth Kumar Venkatesan, T. R. Mahesh, Suresh Guluwadi:
Multiclass Paddy Disease Detection Using Filter-Based Feature Transformation Technique. IEEE Access 11: 109477-109487 (2023) - [j11]S Sivaprakash, U. V. Anbazhagu, Iyappan Perumal, V. Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi:
Analysis and Attack Detection in GSM Mobile Network With an Intelligent Jammer Using ANFIS Classifier. IEEE Access 11: 118962-118972 (2023) - [j10]S. R. Sannasi Chakravarthy, N. Bharanidharan, Vinoth Kumar Venkatesan, Mohamed Abbas, Harikumar Rajaguru, T. R. Mahesh, Krishnamoorthy Venkatesan:
Prediction of Water Quality Using SoftMax-ELM Optimized Using Adaptive Crow-Search Algorithm. IEEE Access 11: 140900-140913 (2023) - [j9]Venkatesan Muthukumar, R. Sivakami, Vinoth Kumar Venkatesan, J. Balajee, T. R. Mahesh, E. Mohan, B. Swapna:
Optimizing Heterogeneity in IoT Infra Using Federated Learning and Blockchain-based Security Strategies. Int. J. Comput. Commun. Control 18(6) (2023) - [j8]K. A. Sharada, KSN Sushma, V. Muthukumaran, T. R. Mahesh, B. Swapna, S. Roopashree:
High ECG diagnosis rate using novel machine learning techniques with Distributed Arithmetic (DA) based gated recurrent units. Microprocess. Microsystems 98: 104796 (2023) - [j7]Vinoth Kumar Venkatesan, Mahesh Thylore Ramakrishna, Anatoliy Batyuk, Andrii Barna, Bohdana Havrysh:
High-Performance Artificial Intelligence Recommendation of Quality Research Papers Using Effective Collaborative Approach. Syst. 11(2): 81 (2023) - [c6]Ishan Dhakal, Navin Kumar Sah, Kwok Wei Ling, Sweety Kumari Rauniyar, Gaurav Kumar, T. R. Mahesh:
Mel-Frequency Cepstral Coefficients-Based Emotion Identification Using Artificial Neural Network From Speech And Songs. ICCCNT 2023: 1-8 - [c5]Shreyas Nikhil, Rahul Kumar Sah, Santosh Kumar Parki, Til Bikram Tamang, Somashekhara Reddy. D, T. R. Mahesh:
Stock Market Prediction Using Genetic Algorithm Assisted LSTM-CNN Hybrid Model. ICCCNT 2023: 1-6 - [c4]T. R. Mahesh, Aman Singh Chandel, Harshitha Gupta, Rakshit Jain, Sadhvi Garg:
A Novel Approach for Detection of Agricultural Crops Using CNN. ICCCNT 2023: 1-6 - 2022
- [j6]Devikanniga Devarajan, D. Stalin Alex, T. R. Mahesh, Vinoth Kumar Venkatesan, Rajanikanth Aluvalu, V. Uma Maheswari, S. Shitharth:
Cervical Cancer Diagnosis Using Intelligent Living Behavior of Artificial Jellyfish Optimized With Artificial Neural Network. IEEE Access 10: 126957-126968 (2022) - [j5]T. R. Mahesh, Tanmay Goswami, Srinivasan Sriramulu, Neeraj Sharma, Alka Kumari, Ganesh Khekare:
Cognitive Based Attention Deficit Hyperactivity Disorder Detection with Ability Assessment Using Auto Encoder Based Hidden Markov Model. Int. J. Commun. Networks Inf. Secur. 14(2): 53-65 (2022) - [j4]Aishwary Awasthi, T. R. Mahesh, Rutvij Joshi, Arvind Kumar Pandey, Rini Saxena, Subhashish Goswami:
Smart Grid Sensor Monitoring Based on Deep Learning Technique with Control System Management in Fault Detection. Int. J. Commun. Networks Inf. Secur. 14(3): 123-137 (2022) - [j3]Ashokkumar Palanivinayagam, Vinoth Kumar Venkatesan, T. R. Mahesh, Krishna Kant Singh, Akansha Singh:
Machine Learning-Based COVID-19 Classification Using E-Adopted CT Scans. Int. J. E Adopt. 14(3): 1-16 (2022) - [j2]K. M. Karthick Raghunath, Vinoth Kumar Venkatesan, Muthukumaran Venkatesan, Krishna Kant Singh, T. R. Mahesh, Akansha Singh:
XGBoost Regression Classifier (XRC) Model for Cyber Attack Detection and Classification Using Inception V4. J. Web Eng. 21(4): 1295-1322 (2022) - [c3]V. Srikanth, T. R. Mahesh:
A Cardiovascular Disease Detection System using Machine Learning. IC3I 2022: 685-689 - [c2]T. R. Mahesh, Devi Kanniga:
A Powerful Data Mining Method for Locating Sets of High Electricity Items. IC3I 2022: 728-731
2010 – 2019
- 2019
- [j1]Pinaki Ghosh, T. R. Mahesh:
Untraceable privacy-preserving authentication protocol for RFID tag using salted hash algorithm. Int. J. Adv. Intell. Paradigms 13(1/2): 193-209 (2019) - 2010
- [c1]Mahesh Thylore Ramakrishna, Latha Kolal Gowdar, Malatesh Somashekar Havanur, Banur Puttappa Mallikarjuna Swamy:
Web Mining: Key Accomplishments, Applications and Future Directions. DSDE 2010: 187-191
Coauthor Index
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last updated on 2024-04-30 00:27 CEST by the dblp team
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