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ORCIDDhirendra Prasad Yadav
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2020 – today
- 2024
[j6]Dhirendra Prasad Yadav, Deepak Kumar, Anand Singh Jalal, Bhisham Sharma
, Julian L. Webber, Abolfazl Mehbodniya:
Advancing Hyperspectral Image Analysis with CTNet: An Approach with the Fusion of Spatial and Spectral Features. Sensors 24(6): 2016 (2024)- [j5]Dhirendra Prasad Yadav, Bhisham Sharma, Shivank Chauhan, Imed Ben Dhaou:
Bridging Convolutional Neural Networks and Transformers for Efficient Crack Detection in Concrete Building Structures. Sensors 24(13): 4257 (2024) - [j4]Dhirendra Prasad Yadav, Deepak Kumar, Anand Singh Jalal, Ankit Kumar, Belkacem Kada:
Synergistic spectral and spatial feature analysis with transformer and convolution networks for hyperspectral image classification. Signal Image Video Process. 18(4): 2975-2990 (2024) - 2023
- [j3]Dhirendra Prasad Yadav, Anand Singh Jalal, Ayush Goyal, Avdesh Mishra, Khem Uprety, Nirmal Guragai:
COVID-19 radiograph prognosis using a deep CResNeXt network. Multim. Tools Appl. 82(23): 36479-36505 (2023) - 2022
- [j2]Dhirendra Prasad Yadav, Anand Singh Jalal, Ved Prakash:
Human burn depth and grafting prognosis using ResNeXt topology based deep learning network. Multim. Tools Appl. 81(13): 18897-18914 (2022) - [j1]Dhirendra Prasad Yadav, Ashish Sharma, Senthil Athithan, Abhishek Bhola, Bhisham Sharma, Imed Ben Dhaou:
Hybrid SFNet Model for Bone Fracture Detection and Classification Using ML/DL. Sensors 22(15): 5823 (2022)
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