Ritesh Maurya

22 papers Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
BMEA-ViT: Breast Cancer Classification Using Lightweight Customized Vision Transformer Architecture With Multi-Head External Attention.
IEEE Access
Ritesh Maurya, Nageshwar Nath Pandey, Satyajit Mahapatra
2025 J jnl
Improved content-based brain tumor retrieval for magnetic resonance images using weight initialization framework with densely connected deep neural network.
Neural Comput. Appl.
Vibhav Prakash Singh, Aman Verma, Dushyant Kumar Singh, Ritesh Maurya
2025 J jnl
RAI-Net: Tomato Plant Disease Classification Using Residual-Attention-Inception Network.
IEEE Access
Ritesh Maurya, Lucky Rajput, Satyajit Mahapatra
2024 J jnl
A Lightweight Meta-Ensemble Approach for Plant Disease Detection Suitable for IoT-Based Environments.
IEEE Access
Ritesh Maurya, Satyajit Mahapatra, Lucky Rajput
2024 J jnl
Breaking Barriers in Cancer Diagnosis: Super-Light Compact Convolution Transformer for Colon and Lung Cancer Detection.
Int. J. Imaging Syst. Technol.
Ritesh Maurya, Nageshwar Nath Pandey, Karnati Mohan, Geet Sahu
2024 J jnl
Deep and Domain Specific Feature-Based Cervical Cancer Classification Using Support Vector Machine Optimized With Particle Swarm Optimization.
IEEE Access
Ritesh Maurya, Lucky Rajput, Satyajit Mahapatra
2024 J jnl
DriSm_YNet: a breakthrough in real-time recognition of driver smoking behavior using YOLO-NAS.
Neural Comput. Appl.
Nageshwar Nath Pandey, Avadh Pati, Ritesh Maurya
2024 J jnl
FCCS-Net: Breast cancer classification using Multi-Level fully Convolutional-Channel and spatial attention-based transfer learning approach.
Biomed. Signal Process. Control.
Ritesh Maurya, Nageshwar Nath Pandey, Malay Kishore Dutta, Karnati Mohan
2024 J jnl
MacD-Net: An automatic guided-ensemble approach for macular pathology detection using optical coherence tomography images.
Int. J. Imaging Syst. Technol.
Ritesh Maurya, Nageshwar Nath Pandey, Rakesh Chandra Joshi, Malay Kishore Dutta
2023 J jnl
Computer aided detection of mercury heavy metal intoxicated fish: an application of machine vision and artificial intelligence technique.
Multim. Tools Appl.
Ritesh Maurya, Arti Srivastava, Ashutosh Srivastava, Vinay Kumar Pathak, Malay Kishore Dutta
2023 — conf
Multi-Head Attention-Based Transfer Learning Approach for Porato Disease Detection.
ICUMT
Ritesh Maurya, Radim Burget, Rudra Shaurya, Martin Kiac, Malay Kishore Dutta
2023 J jnl
VisionCervix: Papanicolaou cervical smears classification using novel CNN-Vision ensemble approach.
Biomed. Signal Process. Control.
Ritesh Maurya, Nageshwar Nath Pandey, Malay Kishore Dutta
2022 J jnl
Computer-aided automatic transfer learning based approach for analysing the effect of high-frequency EMF radiation on brain.
Multim. Tools Appl.
Ritesh Maurya, Neha Singh, Tanu Jindal, Vinay Kumar Pathak, Malay Kishore Dutta
2022 J jnl
Computer-aided diagnosis of auto-immune disease using capsule neural network.
Multim. Tools Appl.
Ritesh Maurya, Vinay Kumar Pathak, Malay Kishore Dutta
2021 J jnl
Automated detection of bioimages using novel deep feature fusion algorithm and effective high-dimensional feature selection approach.
Comput. Biol. Medicine
Ritesh Maurya, Vinay Kumar Pathak, Radim Burget, Malay Kishore Dutta
2021 J jnl
Computer-aided automatic detection of acrylamide in deep-fried carbohydrate-rich food items using deep learning.
Mach. Vis. Appl.
Ritesh Maurya, Suman Singh, Vinay Kumar Pathak, Malay Kishore Dutta
2021 J jnl
Deep learning based microscopic cell images classification framework using multi-level ensemble.
Comput. Methods Programs Biomed.
Ritesh Maurya, Vinay Kumar Pathak, Malay Kishore Dutta
2020 J jnl
Machine learning-based identification of radiofrequency electromagnetic radiation (RF-EMR) effect on brain morphology: a preliminary study.
Medical Biol. Eng. Comput.
Ritesh Maurya, Neha Singh, Tanu Jindal, Vinay Kumar Pathak, Malay Kishore Dutta
2019 — conf
An Image Processing based Identification of Fish Exposed to Polluted Water.
TSP
Ritesh Maurya, Malay Kishore Dutta, Kamil Ríha, Petr Kritz
2019 — conf
Android Malware Detection Using Genetic Algorithm based Optimized Feature Selection and Machine Learning.
TSP
Anam Fatima, Ritesh Maurya, Malay Kishore Dutta, Radim Burget, Jan Masek
2019 — conf
Feature Optimization for Run Time Analysis of Malware in Windows Operating System using Machine Learning Approach.
TSP
Areeba Irshad, Ritesh Maurya, Malay Kishore Dutta, Radim Burget, Václav Uher
2012 — conf
Application of Complete Local Binary Pattern Method for facial expression recognition.
IHCI
Suryakant Singh, Ritesh Maurya, Ajay Mittal