About
"My research has been recognized for its Deep Learning, Machine Learning, Artifical Intelligence, Data Science, Internet of Things 'novelty,' 'practical relevance,' or 'theoretical contributions', and I have published extensively in high-impact journals. Collaboration lies at the heart of my work, and I actively engage with academic institutions, industry partners, or international networks to foster innovation and knowledge exchange.
Employment
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VIT-AP University
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (11)
- A HYBRID DEEP LEARNING FRAMEWORK FOR ACCURATE AND EFFICIENT DETECTION OF POTATO LEAF DISEASES Save
- Advanced Classification of Diabetic Foot Ulcers Using Custom and Deep Learning Models Save
- Advanced Deep Learning Techniques for Precision Diagnosis of Tea Leaf Diseases Save
- An Extensive Approach to Detect Apple Fruit Diseases using Neural Convolutional Learning with Classification Principles Save
- Deep Hybrid Models for Multi-Class Brain Tumor Classification: Integrating CNN, Transformers, and Explainable AI for Enhanced MRI-Based Detection Save
- KAN_ICB: A Novel Deep Learning Framework for Detection of Potato Leaf Disease Save
- Novel CNN-Based Models for Breast Ultrasound Image Classification: Leveraging EEHO, PSO, and BSA Optimizers Save
- A Comprehensive Analysis Of The Detection And Classification Of Potato And Corn Leaf Diseases Utilizing Deep Learning Methods Save
- A Novel Classification Scheme for Early Alzheimer’s Disease (AD) Severity Diagnosis Using Deep Features of a Hybrid Cascade Attention Architecture Save
- Advanced Malware Classification Using Convolutional Neural Networks and Image Transformation Techniques Save