Rakesh Kumar
Orcid: 0000-0002-2659-5941Affiliations:
- Chandigarh University, Mohali, Punjab, India
According to our database1,
Rakesh Kumar
authored at least 14 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
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
2023
Food Image-based Nutritional Management System to Overcome Polycystic Ovary Syndrome using DeepLearning: A Systematic Review.
Int. J. Image Graph., September, 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
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
2022
EAI Endorsed Trans. Scalable Inf. Syst., 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
EAI Endorsed Trans. Pervasive Health Technol., 2021
2020
Proceedings of the International Conference on Research in Management & Technovation, 2020