Rakesh Kumar

Orcid: 0000-0002-2659-5941

Affiliations:
  • Chandigarh University, Mohali, Punjab, India


According to our database1, Rakesh Kumar authored at least 22 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A Federated Learning and Explainable AI Framework for Privacy-Preserving Brain Tumor Diagnosis Using Multi-Institutional MRI Data.
IEEE Access, 2026

2025
A Novel Approach for Classification and Detection of Apple Leaf Disease Using Enhanced RBVT-Net With Transfer Learning and YoloV7.
IEEE Access, 2025

2024
CBAR-UNet: A novel methodology for segmentation of cardiac magnetic resonance images using block attention-based deep residual neural network.
Multim. Tools Appl., November, 2024

Hybrid deep learning based automatic speech recognition model for recognizing non-Indian languages.
Multim. Tools Appl., March, 2024

A Novel Hybrid Model Based on Sentiment Analysis Using Community Guided Link Prediction for Connecting People With Similar Interest.
IEEE Access, 2024

A Critical Analysis on Vertebra Identification and Cobb Angle Estimation Using Deep Learning for Scoliosis Detection.
IEEE Access, 2024

Adversarial Network-Based Classification for Alzheimer's Disease Using Multimodal Brain Images: A Critical Analysis.
IEEE Access, 2024

Optimizing Road Extraction in Remote Sensing Imagery: A Lightweight Dilated Inception Deep Residual U-Net with Channel Attention (LDIDRU-CAN) Model and Pruning Strategies.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Synthetic Image Generation for Improved Detection of Bone Defects Using GAN.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

EEDL-based Detection and Classification of Apple Foliar Leaf Disease.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Enhancing the Brain Tumor Detection using Data Augmentation with CNNs.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2023
Food Image-based Nutritional Management System to Overcome Polycystic Ovary Syndrome using DeepLearning: A Systematic Review.
Int. J. Image Graph., September, 2023

An automatic speech recognition system in Indian and foreign languages: A state-of-the-art review analysis.
Intell. Decis. Technol., 2023

Analysis of Invoice Management System using Regression techniques with improved loss functions.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Impact of AI on social marketing and its usage in social media: A review analysis.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

Statistical Analysis and Prediction of Heart Disease Using Machine Learning.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
Clustering based Contact Tracing Analysis and Prediction of SARS-CoV-2 Infections.
EAI Endorsed Trans. Scalable Inf. Syst., 2022

Intelligent Audio Signal Processing for Detecting Rainforest Species Using Deep Learning.
Intell. Autom. Soft Comput., 2022

Optical coherence tomography image based eye disease detection using deep convolutional neural network.
Health Inf. Sci. Syst., 2022

Food Image-based diet recommendation framework to overcome PCOS problem in women using deep convolutional neural network.
Comput. Electr. Eng., 2022

2021
Deep Learning Based Analysis of Ophthalmology: A Systematic Review.
EAI Endorsed Trans. Pervasive Health Technol., 2021

2020
Implementing Cyclic Redundancy Check as Error Correction Technique in HDLC.
Proceedings of the International Conference on Research in Management & Technovation, 2020


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