Area of research
Molecular Biology · Plant Science
Research interest
Research interests include Computer science, Artificial intelligence, HVAC, Machine learning, Sleep (system call), and Fault detection and isolation.
Comparative analysis of gut microbiota and intestinal transcriptomic profile between fast- and slow-growing American eels (Anguilla rostrata)
Intelligent fault diagnosis for air handing units based on improved generative adversarial network and deep reinforcement learning
An Improved Neural Network Based on SENet for Sleep Stage Classification
AI Empowered Virtual Reality Integrated Systems for Sleep Stage Classification and Quality Enhancement
Chiller Fault Diagnosis Based on VAE-Enabled Generative Adversarial Networks
Unsupervised learning for fault detection and diagnosis of air handling units