Ritesh Maurya
Orcid: 0000-0002-5664-0328
According to our database1,
Ritesh Maurya
authored at least 19 papers
between 2012 and 2024.
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Bibliography
2024
DriSm_YNet: a breakthrough in real-time recognition of driver smoking behavior using YOLO-NAS.
Neural Comput. Appl., October, 2024
MacD-Net: An automatic guided-ensemble approach for macular pathology detection using optical coherence tomography images.
Int. J. Imaging Syst. Technol., January, 2024
Breaking Barriers in Cancer Diagnosis: Super-Light Compact Convolution Transformer for Colon and Lung Cancer Detection.
Int. J. Imaging Syst. Technol., 2024
FCCS-Net: Breast cancer classification using Multi-Level fully Convolutional-Channel and spatial attention-based transfer learning approach.
Biomed. Signal Process. Control., 2024
Deep and Domain Specific Feature-Based Cervical Cancer Classification Using Support Vector Machine Optimized With Particle Swarm Optimization.
IEEE Access, 2024
A Lightweight Meta-Ensemble Approach for Plant Disease Detection Suitable for IoT-Based Environments.
IEEE Access, 2024
2023
Computer aided detection of mercury heavy metal intoxicated fish: an application of machine vision and artificial intelligence technique.
Multim. Tools Appl., May, 2023
VisionCervix: Papanicolaou cervical smears classification using novel CNN-Vision ensemble approach.
Biomed. Signal Process. Control., 2023
Proceedings of the 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, 2023
2022
Computer-aided automatic transfer learning based approach for analysing the effect of high-frequency EMF radiation on brain.
Multim. Tools Appl., 2022
Multim. Tools Appl., 2022
2021
Computer-aided automatic detection of acrylamide in deep-fried carbohydrate-rich food items using deep learning.
Mach. Vis. Appl., 2021
Deep learning based microscopic cell images classification framework using multi-level ensemble.
Comput. Methods Programs Biomed., 2021
Automated detection of bioimages using novel deep feature fusion algorithm and effective high-dimensional feature selection approach.
Comput. Biol. Medicine, 2021
2020
Machine learning-based identification of radiofrequency electromagnetic radiation (RF-EMR) effect on brain morphology: a preliminary study.
Medical Biol. Eng. Comput., 2020
2019
Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019
Feature Optimization for Run Time Analysis of Malware in Windows Operating System using Machine Learning Approach.
Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019
Android Malware Detection Using Genetic Algorithm based Optimized Feature Selection and Machine Learning.
Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019
2012
Application of Complete Local Binary Pattern Method for facial expression recognition.
Proceedings of the 4th International Conference on Intelligent Human Computer Interaction, 2012