Mahesh Thylore Ramakrishna

Orcid: 0000-0002-5589-8992

Affiliations:
  • Jain (Deemed-to-be University), Bangalore, India
  • T John Institute of Technology, Bengaluru, India (former)


According to our database1, Mahesh Thylore Ramakrishna authored at least 60 papers between 2010 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Enhancing Diagnostic Precision in Breast Cancer Classification Through EfficientNetB7 Using Advanced Image Augmentation and Interpretation Techniques.
Int. J. Imaging Syst. Technol., January, 2025

2024
Deep learning ensemble approach with explainable AI for lung and colon cancer classification using advanced hyperparameter tuning.
BMC Medical Informatics Decis. Mak., December, 2024

Advanced AI-driven approach for enhanced brain tumor detection from MRI images utilizing EfficientNetB2 with equalization and homomorphic filtering.
BMC Medical Informatics Decis. Mak., December, 2024

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., December, 2024

Hybridized deep learning goniometry for improved precision in Ehlers-Danlos Syndrome (EDS) evaluation.
BMC Medical Informatics Decis. Mak., December, 2024

Efficient Heart Disease Classification Through Stacked Ensemble with Optimized Firefly Feature Selection.
Int. J. Comput. Intell. Syst., December, 2024

Transformative Breast Cancer Diagnosis using CNNs with Optimized ReduceLROnPlateau and Early Stopping Enhancements.
Int. J. Comput. Intell. Syst., December, 2024

Optimizing Personalized and Context-Aware Recommendations in Pervasive Computing Environments.
Int. J. Comput. Intell. Syst., December, 2024

Breast Tumor Classification with Enhanced Transfer Learning Features and Selection Using Chaotic Map-Based Optimization.
Int. J. Comput. Intell. Syst., December, 2024

Multi-class Breast Cancer Classification Using CNN Features Hybridization.
Int. J. Comput. Intell. Syst., December, 2024

AgriFusion: A Low-Carbon Sustainable Computing Approach for Precision Agriculture Through Probabilistic Ensemble Crop Recommendation.
Comput. Intell., December, 2024

Enhancing image-based diagnosis of gastrointestinal tract diseases through deep learning with EfficientNet and advanced data augmentation techniques.
BMC Medical Imaging, December, 2024

Enhanced skin cancer diagnosis using optimized CNN architecture and checkpoints for automated dermatological lesion classification.
BMC Medical Imaging, December, 2024

Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50.
BMC Medical Imaging, December, 2024

Revolutionizing breast ultrasound diagnostics with EfficientNet-B7 and Explainable AI.
BMC Medical Imaging, December, 2024

Correction: Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam.
BMC Medical Imaging, December, 2024

Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam.
BMC Medical Imaging, December, 2024

Detection of Marchiafava Bignami disease using distinct deep learning techniques in medical diagnostics.
BMC Medical Imaging, December, 2024

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, December, 2024

Deep transfer learning with fuzzy ensemble approach for the early detection of breast cancer.
BMC Medical Imaging, December, 2024

Refining neural network algorithms for accurate brain tumor classification in MRI imagery.
BMC Medical Imaging, December, 2024

Correction to: Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor.
BMC Medical Imaging, December, 2024

Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor.
BMC Medical Imaging, December, 2024

Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework.
BMC Medical Imaging, December, 2024

VAG Signal-Based Computational System for Consumer's Utilization Devices in Osteoarthritis Data Extraction and Classification.
IEEE Trans. Consumer Electron., November, 2024

Augmented Intelligence Based COVID-19 Diagnostics and Deep Feature Categorization Based on Federated Learning.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

PrEGAN: Privacy-Enhanced Clinical EMR Generation: Leveraging GAN Model for Customer De-Identification.
IEEE Trans. Consumer Electron., August, 2024

SKGDC: Effective Segmentation Based Deep Learning Methodology for Banana Leaf, Fruit, and Stem Disease Prediction.
SN Comput. Sci., August, 2024

Early predictive model for breast cancer classification using blended ensemble learning.
Int. J. Syst. Assur. Eng. Manag., January, 2024

High-Performance Technique for Item Recommendation in Social Networks using Multiview Clustering.
Int. J. Comput. Commun. Control, January, 2024

MResGat: Multi-head Residual Dilated Convolution Assisted Gated Unit Framework for Crop Yield Prediction.
Scalable Comput. Pract. Exp., 2024

Enhancing brain tumor classification in MRI scans with a multi-layer customized convolutional neural network approach.
Frontiers Comput. Neurosci., 2024

Attention-Based Feature Fusion With External Attention Transformers for Breast Cancer Histopathology Analysis.
IEEE Access, 2024

Data-Driven Intelligent Condition Adaptation of Feature Extraction for Bearing Fault Detection Using Deep Responsible Active Learning.
IEEE Access, 2024

Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies.
IEEE Access, 2024

Hybrid Ant Lion Mutated Ant Colony Optimizer Technique With Particle Swarm Optimization for Leukemia Prediction Using Microarray Gene Data.
IEEE Access, 2024

Enhancing Software Fault Prediction Through Feature Selection With Spider Wasp Optimization Algorithm.
IEEE Access, 2024

Intelligent Recognition of Multimodal Human Activities for Personal Healthcare.
IEEE Access, 2024

Local Entropy Based Remora Optimization and Sparse Autoencoders for Cancer Diagnosis Through Microarray Gene Expression Analysis.
IEEE Access, 2024

2023
Optimizing Heterogeneity in IoT Infra Using Federated Learning and Blockchain-based Security Strategies.
Int. J. Comput. Commun. Control, October, 2023

High ECG diagnosis rate using novel machine learning techniques with Distributed Arithmetic (DA) based gated recurrent units.
Microprocess. Microsystems, April, 2023

High-Performance Artificial Intelligence Recommendation of Quality Research Papers Using Effective Collaborative Approach.
Syst., February, 2023

Analysis and Attack Detection in GSM Mobile Network With an Intelligent Jammer Using ANFIS Classifier.
IEEE Access, 2023

Redefining Retinal Lesion Segmentation: A Quantum Leap With DL-UNet Enhanced Auto Encoder-Decoder for Fundus Image Analysis.
IEEE Access, 2023

Smart Decision-Making and Communication Strategy in Industrial Internet of Things.
IEEE Access, 2023

Prediction of Water Quality Using SoftMax-ELM Optimized Using Adaptive Crow-Search Algorithm.
IEEE Access, 2023

Efficient Assamese Word Recognition for Societal Empowerment: A Comparative Feature-Based Analysis.
IEEE Access, 2023

Multiclass Paddy Disease Detection Using Filter-Based Feature Transformation Technique.
IEEE Access, 2023

A Novel Approach for Detection of Agricultural Crops Using CNN.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Stock Market Prediction Using Genetic Algorithm Assisted LSTM-CNN Hybrid Model.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Mel-Frequency Cepstral Coefficients-Based Emotion Identification Using Artificial Neural Network From Speech And Songs.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
Smart Grid Sensor Monitoring Based on Deep Learning Technique with Control System Management in Fault Detection.
Int. J. Commun. Networks Inf. Secur., December, 2022

Cognitive Based Attention Deficit Hyperactivity Disorder Detection with Ability Assessment Using Auto Encoder Based Hidden Markov Model.
Int. J. Commun. Networks Inf. Secur., August, 2022

XGBoost Regression Classifier (XRC) Model for Cyber Attack Detection and Classification Using Inception V4.
J. Web Eng., 2022

Machine Learning-Based COVID-19 Classification Using E-Adopted CT Scans.
Int. J. E Adopt., 2022

Cervical Cancer Diagnosis Using Intelligent Living Behavior of Artificial Jellyfish Optimized With Artificial Neural Network.
IEEE Access, 2022

A Powerful Data Mining Method for Locating Sets of High Electricity Items.
Proceedings of the 5th International Conference on Contemporary Computing and Informatics, 2022

A Cardiovascular Disease Detection System using Machine Learning.
Proceedings of the 5th International Conference on Contemporary Computing and Informatics, 2022

2019
Untraceable privacy-preserving authentication protocol for RFID tag using salted hash algorithm.
Int. J. Adv. Intell. Paradigms, 2019

2010
Web Mining: Key Accomplishments, Applications and Future Directions.
Proceedings of the International Conference on Data Storage and Data Engineering, 2010


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