A nonlinear modeling of fractional order based variational model in optical flow estimation M Khan, P Kumar Optik 261, 169136, 2022 | 17 | 2022 |
A level set based fractional order variational model for motion estimation in application oriented spectrum M Khan, P Kumar Expert Systems with Applications, 119628, 2023 | 11 | 2023 |
Development of an IR Video Surveillance System Based on Fractional Order TV-Model P Kumar, M Khan, S Gupta 2021 International Conference on Control, Automation, Power and Signal …, 2021 | 6 | 2021 |
Caputo derivative based nonlinear fractional order variational model for motion estimation in various application oriented spectrum M Khan, NK Mahala, P Kumar Sādhanā 49 (1), 1-28, 2024 | 4 | 2024 |
Early Prediction of COVID-19 Suspects Based on Fractional Order Optical Flow P Kumar, M Khan 2021 5th International Conference on Information Systems and Computer …, 2021 | 4 | 2021 |
Prediction of Fire Signatures Based on Fractional Order Optical Flow and Convolution Neural Network S Gupta, M Khan, P Kumar Computer Vision and Image Processing: 7th International Conference, CVIP …, 2023 | 3 | 2023 |
Charbonnier-Marchaud Based Fractional Variational Model for Motion Estimation in Multispectral Vision System P Kumar, M Khan Journal of Physics: Conference Series 2327 (1), 012031, 2022 | 3 | 2022 |
A Segmentation Based Robust Fractional Variational Model for Motion Estimation P Kumar, M Khan, NK Mahala Computer Vision and Image Processing: 7th International Conference, CVIP …, 2023 | 2 | 2023 |
A Vision Based Fractional Order TV-Model for Underwater Motion Estimation M Khan, P Kumar 2021 IEEE Bombay Section Signature Conference (IBSSC), 1-6, 2021 | 2 | 2021 |
Study of Various Deep Learning Models for COVID-19 Detection Based on Fractional Order Optical Flow B Singh, M Khan, P Kumar 2023 14th International Conference on Computing Communication and Networking …, 2023 | 1 | 2023 |
Identification of Potential Biomarkers for Diabetes Mellitus Using Gene Expression Datasets, Machine Learning, and R Packages to Predict the Risk of Diabetes S Jena, P Kumar, D Mishra, M Khan Artificial Intelligence in Healthcare, 47-76, 2024 | | 2024 |
Early Detection of Diabetic Foot Ulcers Using Optical Flow–Based Ensemble Learning CNN Framework B Singh, P Kumar, M Khan Artificial Intelligence in Healthcare, 26-46, 2024 | | 2024 |
A Nonlinear Fractional Order Optical Flow and CNN Based Framework for Fire Prediction Using Smoke Features NK Mahala, M Khan, P Kumar 2024 OPJU International Technology Conference (OTCON) on Smart Computing for …, 2024 | | 2024 |
A nonlinear fractional order variational model for the robust estimation of optical flow A Kumar, B Singh, M Khan, P Kumar 2024 OPJU International Technology Conference (OTCON) on Smart Computing for …, 2024 | | 2024 |
A Relative Analysis of Different CNN Based Models for COVID-19 Detection using CXR and CT Images P Kumar, D Jayaswal, M Khan, B Singh Procedia Computer Science 235, 3163-3173, 2024 | | 2024 |
Ensemble learning and skip connection-based CNN framework for COVID-19 identification using CXR and CT images PK Muzammil Khan, Bhavana Singh International Journal of Computational Vision and Robotics, 2024 | | 2024 |
CNN-Based Fire Prediction Using Fractional Order Optical Flow and Smoke Features M Khan, P Kumar, NK Mahala Applications of Optimization and Machine Learning in Image Processing and IoT, 2023 | | 2023 |
A Non-Local Weighted Fractional Order Variational Model for Smoke Detection Using Deep Learning Models NK Mahala, M Khan, P Kumar TENCON 2023-2023 IEEE Region 10 Conference (TENCON), 146-151, 2023 | | 2023 |
Fire Detection Using Level Set Segmentation Based Fractional Order Optical Flow and 4D Fire Features with Mixed Data CNN-LSTM Model M Khan, P Kumar TENCON 2023-2023 IEEE Region 10 Conference (TENCON), 152-157, 2023 | | 2023 |
Smoke Detection Using its Static and Dynamic Features Based on Fractional Order Optical Flow and Deep Learning Models for Fire Prediction M Khan, NK Mahala, P Kumar 2023 14th International Conference on Computing Communication and Networking …, 2023 | | 2023 |