Dr. Shubham Sharma
BK Birla Institute of Engineering and Technology, National Institute of Technology Raipur
About
I have concluded my doctoral program (PhD) in deep learning applied to agriculture at NIT, Raipur. My academic journey has equipped me with extensive experience in machine learning and deep learning, where I have successfully managed projects across various domains, including classification, regression, and more specialized areas such as recommender systems, support vector machines (SVM), K-means, principal component analysis (PCA), reinforcement learning, natural language processing (NLP), and advanced computer vision techniques (2D/3D classification, detection, segmentation, and pose estimation).
Employment
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BK Birla Institute of Engineering and Technology Project Officer - I2020 - 2021
Education
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National Institute of Technology Raipur P.hD.2021 - 2025
Projects & Funding
Projects & funding information is unavailable.
Publications (14)
- Advancements in Generative A for Image Classification: Applications, Challenges, and Future Directions Save
- Cloud-Powered Distance Learning Save
- Navigating the Legal and Ethical Aspects of Cloud-Based Education Save
- Unveiling Synergy Save
- AELGNet: Attention-based Enhanced Local and Global Features Network for medicinal leaf and plant classification Save
- SYSTEM FOR PLANT DISEASE DETECTION AND METHOD THEREOF Save
- MTJNet: Multi-task joint learning network for advancing medicinal plant and leaf classification Save
- Advancing Precision Agriculture: Enhanced Weed Detection Using the Optimized YOLOv8T Model Save
- Enhanced Plant Disease Detection Using a Custom CNN with Advanced Feature Extraction Techniques Save
- Advancing Histopathological Image Analysis: A Combined EfficientNetB7 and ViT-S16 Model for Precise Breast Cancer Detection Save