Publications
📄 IEEE Conference Papers
1. Xception for Tomato Leaf Disease Detection: Hyperparameter Tuning and Fine-Tuning Approaches
Yash Maini, Sanjay Kumar Singh, Pranshu Saxena
📍 IEEE ICAIQSA 2024 — Nagpur, India
🔗 DOI | GitHub | Blog
- Achieved 97.23% accuracy using an optimized Xception model.
- Combined hyperparameter tuning and fine-tuning for enhanced precision.
- Applied transfer learning to automate agricultural leaf disease detection.
2. Breast Tumor Classification with Fine-Tuned Hyperparameter Training Using Deep Learning Models
Yash Maini, Sanjay Kumar Singh, Pranshu Saxena
📍 IEEE AdSoc 5.0 2025 — Kolkata, India
🔗 DOI | GitHub | Blog
- Achieved 98.46% classification accuracy on mammogram data using fine-tuned CNNs.
- Applied Population-Based Training for hyperparameter optimization.
- Addressed early detection challenges in breast cancer screening.
Visit Projects to explore practical implementations, or check out Blogs for in-depth technical walkthroughs.