About
Experienced researcher in the field of optimization algorithms. Currently working as a full-time research scholar at the National Institute of Technology Meghalaya. My research area is confined to image/video forgery and obscene detection using AI. Familiar with a wide range of transfer learning frameworks in the deep learning field for classification, detection, and segmentation. In my research, I have made extensive use of MATLAB and PYTHON programming languages.
Employment
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National Institute of Technology Meghalaya Research Scholar2021 - Present
Education
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National Institute of Technology Meghalaya Ph.D.2021 - Present
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- IoST-Enabled Segmentation of Obscenity for Media Security Using Multifilter Federated W-Net Save
- FASNet: Federated adversarial Siamese networks for robust malware image classification Save
- EAYv3-CF$C^{3}$: Ensemble Learning With Attention-Based Yv3 Combined With CF$C^{3}$ Loss for Obscenity Detection Save
- LSiF: Log-Gabor Empowered Siamese Federated Learning for Efficient Obscene Image Classification in the Era of Industry 5.0 Save
- ASYv3: Attention‐enabled pooling embedded Swin transformer‐based YOLOv3 for obscenity detection Save
- SBMYv3: Improved MobYOLOv3 a BAM attention‐based approach for obscene image and video detection Save
- AVENet:Attention-Based VGG 16 with ELM for Obscene Image Classification Save
- Modified Cat Swarm Optimization for Optimal Assembly Sequence Planning Problems Save
- Weighted Particle Swarm Optimization with T-Distribution in Machine Learning Applications Save
- Copy-Move Image Forgery Detection Using Phase Adaptive Spatio-structured SIFT Algorithm Save