Area of research
Artificial Intelligence · Computer Vision and Pattern Recognition
Research interest
Research focused on Cluster analysis and Nickel, with related work in Artificial intelligence, Overpotential, Deep learning. Notable publications include 'GANs-Based Data Augmentation for Citrus Disease Severity Detection Using Deep Learning', 'A systematic density-based clustering method using anchor points', and 'Metal‐Organic Frameworks‐Derived Nickel–Iron Oxyhydroxide with Highly Active Edge Sites for Electrochemical Oxygen Evolution'.