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ORCIDMahesh Thylore Ramakrishna
T. R. Mahesh 0001
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
[j48]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)- [j47]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) - [j46]Mahesh Thylore Ramakrishna, Saravanan Chandrasekaran, V. Ashwin Ram, V. Vinoth Kumar, 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) - [j45]S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Surbhi Bhatia Khan, Ahlam Almusharraf, Eid Albalawi:
Intelligent Recognition of Multimodal Human Activities for Personal Healthcare. IEEE Access 12: 79776-79786 (2024) - [j44]Himansu Das, Swarnava Das, Mahendra Kumar Gourisaria, Surbhi Bhatia Khan, Ahlam Almusharraf, Abdullah I. Alharbi, T. R. Mahesh:
Enhancing Software Fault Prediction Through Feature Selection With Spider Wasp Optimization Algorithm. IEEE Access 12: 105309-105325 (2024) - [j43]K. M. Karthick Raghunath, C. Rohith Bhat, Vinoth Kumar Venkatesan, Velmurugan Athiyoor Kannan, T. R. Mahesh, K. Manikandan, N. Krishnamoorthy:
Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies. IEEE Access 12: 115386-115399 (2024) - [j42]K. Vanitha, Manimaran Aridoss, K. Chokkanathan, K. Anitha, T. R. Mahesh, V. Vinoth Kumar, G. N. Vivekananda:
Attention-Based Feature Fusion With External Attention Transformers for Breast Cancer Histopathology Analysis. IEEE Access 12: 126296-126312 (2024) - [j41]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) - [j40]J. Satheesh Kumar, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, P. Prabhavathy, K. Manikandan, Suresh Guluwadi:
Detection of Marchiafava Bignami disease using distinct deep learning techniques in medical diagnostics. BMC Medical Imaging 24(1): 100 (2024) - [j39]Syed Thouheed Ahmed, T. R. Mahesh, E. Srividhya, V. Vinoth Kumar, Surbhi Bhatia Khan, Abdullah Albuali, Ahlam Almusharraf:
Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework. BMC Medical Imaging 24(1): 105 (2024) - [j38]Mohamed Musthafa M, T. R. Mahesh, V. Vinoth Kumar, Suresh Guluwadi:
Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50. BMC Medical Imaging 24(1): 107 (2024) - [j37]Eid Albalawi, T. R. Mahesh, Arastu Thakur, V. Vinoth Kumar, Muskan Gupta, Surbhi Bhatia Khan, Ahlam Almusharraf:
Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. BMC Medical Imaging 24(1): 110 (2024) - [j36]Asma AlShuhail, Arastu Thakur, R. Chandramma, T. R. Mahesh, Ahlam Almusharraf, V. Vinoth Kumar, Surbhi Bhatia Khan:
Refining neural network algorithms for accurate brain tumor classification in MRI imagery. BMC Medical Imaging 24(1): 118 (2024) - [j35]Eid Albalawi, T. R. Mahesh, Arastu Thakur, V. Vinoth Kumar, Muskan Gupta, Surbhi Bhatia Khan, Ahlam Almusharraf:
Correction to: Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. BMC Medical Imaging 24(1): 161 (2024) - [j34]S. Yogesh Kumaran, J. Jospin Jeya, T. R. Mahesh, Surbhi Bhatia Khan, Saeed Alzahrani, Mohammed Alojail:
Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam. BMC Medical Imaging 24(1): 176 (2024) - [j33]S. Yogesh Kumaran, J. Jospin Jeya, T. R. Mahesh, Surbhi Bhatia Khan, Saeed Alzahrani, Mohammed Alojail:
Correction: Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam. BMC Medical Imaging 24(1): 195 (2024) - [j32]Mohamed Musthafa M, Mahesh Thylore Ramakrishna, V. Vinoth Kumar, Suresh Guluwadi:
Enhanced skin cancer diagnosis using optimized CNN architecture and checkpoints for automated dermatological lesion classification. BMC Medical Imaging 24(1): 201 (2024) - [j31]S. R. Sannasi Chakravarthy, N. Bharanidharan, C. Vinothini, Vinoth Kumar Venkatesan, T. R. Mahesh, Suresh Guluwadi:
Adaptive Mish activation and ranger optimizer-based SEA-ResNet50 model with explainable AI for multiclass classification of COVID-19 chest X-ray images. BMC Medical Imaging 24(1): 206 (2024) - [j30]M. Latha, P. Santhosh Kumar, R. Roopa Chandrika, T. R. Mahesh, V. Vinoth Kumar, Suresh Guluwadi:
Revolutionizing breast ultrasound diagnostics with EfficientNet-B7 and Explainable AI. BMC Medical Imaging 24(1): 230 (2024) - [j29]Eid Albalawi, Arastu Thakur, D. Ramya Dorai, Surbhi Bhatia Khan, T. R. Mahesh, Ahlam Almusharraf, Khursheed Aurangzeb, Muhammad Shahid Anwar:
Enhancing brain tumor classification in MRI scans with a multi-layer customized convolutional neural network approach. Frontiers Comput. Neurosci. 18 (2024) - [j28]U. V. Anbazhagu, V. R. Niveditha, Chandrasekhar Rohith Bhat, T. R. Mahesh, V. Vinoth Kumar, B. Swapna:
High-Performance Technique for Item Recommendation in Social Networks using Multiview Clustering. Int. J. Comput. Commun. Control 19(1) (2024) - [j27]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) - [j26]S. R. Sannasi Chakravarthy, Bharanidharan Nagarajan, V. Vinoth Kumar, 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) - [j25]Krishnamoorthy Natarajan, V. Vinoth Kumar, T. R. Mahesh, Mohamed Abbas, Nirmaladevi Kathamuthu, E. Mohan, Jonnakuti Rajkumar Annad:
Efficient Heart Disease Classification Through Stacked Ensemble with Optimized Firefly Feature Selection. Int. J. Comput. Intell. Syst. 17(1): 174 (2024) - [j24]S. R. Sannasi Chakravarthy, N. Bharanidharan, Surbhi Bhatia Khan, V. Vinoth Kumar, Mahesh Thylore Ramakrishna, Ahlam Almusharraf, Eid Albalawi:
Multi-class Breast Cancer Classification Using CNN Features Hybridization. Int. J. Comput. Intell. Syst. 17(1): 191 (2024) - [j23]A. M. J. Zubair Rahman, Muskan Gupta, S. Aarathi, T. R. Mahesh, V. Vinoth Kumar, S. Yogesh Kumaran, Suresh Guluwadi:
Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering. BMC Medical Informatics Decis. Mak. 24(1): 113 (2024) - [j22]Mohamed Musthafa M, I. Manimozhi, T. R. Mahesh, Suresh Guluwadi:
Optimizing double-layered convolutional neural networks for efficient lung cancer classification through hyperparameter optimization and advanced image pre-processing techniques. BMC Medical Informatics Decis. Mak. 24(1): 142 (2024) - [j21]Thirumalesu Kudithi, J. Balajee, R. Sivakami, T. R. Mahesh, E. Mohan, Suresh Guluwadi:
Hybridized deep learning goniometry for improved precision in Ehlers-Danlos Syndrome (EDS) evaluation. BMC Medical Informatics Decis. Mak. 24(1): 196 (2024) - [j20]K. Vanitha, T. R. Mahesh, S. Sathea Sree, Suresh Guluwadi:
Deep learning ensemble approach with explainable AI for lung and colon cancer classification using advanced hyperparameter tuning. BMC Medical Informatics Decis. Mak. 24(1): 222 (2024) - [j19]T. R. Mahesh, V. Vinoth Kumar, 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) - [j18]Sahana Shetty, T. R. Mahesh:
MResGat: Multi-head Residual Dilated Convolution Assisted Gated Unit Framework for Crop Yield Prediction. Scalable Comput. Pract. Exp. 25(6) (2024) - [j17]Sahana Shetty, T. R. Mahesh:
SKGDC: Effective Segmentation Based Deep Learning Methodology for Banana Leaf, Fruit, and Stem Disease Prediction. SN Comput. Sci. 5(6): 698 (2024) - [j16]Syed Thouheed Ahmed, Vinoth Kumar Venkatesan, T. R. Mahesh, S. Roopashree, Muthukumaran Venkatesan:
Augmented Intelligence Based COVID-19 Diagnostics and Deep Feature Categorization Based on Federated Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3308-3315 (2024) - 2023
- [j15]Kesavan Gunasekaran, V. Vinoth Kumar, 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, V. Vinoth Kumar, 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, V. Vinoth Kumar, 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, V. Vinoth Kumar, 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, V. Vinoth Kumar, 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, V. Vinoth Kumar, 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 2024-10-23 20:35 CEST by the dblp team
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