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Prabodh Kumar Sahoo
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2020 – today
- 2024
- [j6]Prabodh Kumar Sahoo, Manoj Kumar Panda, Upasana Panigrahi, Ganapati Panda, Prince Jain, Md. Shabiul Islam, Mohammad Tariqul Islam:
An Improved VGG-19 Network Induced Enhanced Feature Pooling for Precise Moving Object Detection in Complex Video Scenes. IEEE Access 12: 45847-45864 (2024) - [j5]Tapaswini Pattnaik, Priyadarshi Kanungo, Prabodh Kumar Sahoo, Tejaswini Kar, Prince Jain, Mohamed S. Soliman, Mohammad Tariqul Islam:
An Efficient Low Complex-Functional Link Artificial Neural Network-Based Framework for Uneven Light Image Thresholding. IEEE Access 12: 118315-118338 (2024) - [j4]Upasana Panigrahi, Prabodh Kumar Sahoo, Manoj Kumar Panda, Ganapati Panda:
A ResNet-101 deep learning framework induced transfer learning strategy for moving object detection. Image Vis. Comput. 146: 105021 (2024) - 2022
- [j3]Seli Mohapatra, Prafulla Kumar Behera, Prabodh Kumar Sahoo, Sukant Kishoro Bisoy, Kueh Lee Hui, Mangal Sain:
Mobility Induced Multi-Hop LEACH Protocol in Heterogeneous Mobile Network. IEEE Access 10: 132895-132907 (2022) - [j2]Prabodh Kumar Sahoo, Priyadarshi Kanungo, Satyasis Mishra, Bibhuprasad Mohanty:
Entropy feature and peak-means clustering based slowly moving object detection in head and shoulder video sequences. J. King Saud Univ. Comput. Inf. Sci. 34(8 Part A): 5296-5304 (2022)
2010 – 2019
- 2018
- [j1]Prabodh Kumar Sahoo, Priyadarshi Kanungo, S. Mishra:
A fast valley-based segmentation for detection of slowly moving objects. Signal Image Video Process. 12(7): 1265-1272 (2018)
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last updated on 2024-10-07 22:06 CEST by the dblp team
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