Area of research
Electrical and Electronic Engineering · Artificial Intelligence
Research interest
Research interests include Computer science, Artificial intelligence, Artificial neural network, HVAC, Fault detection and isolation, and Machine learning.
AI in HVAC fault detection and diagnosis: A systematic review
Intelligent fault diagnosis for air handing units based on improved generative adversarial network and deep reinforcement learning
Optimization and prediction in the early design stage of office buildings using genetic and XGBoost algorithms
An Improved Neural Network Based on SENet for Sleep Stage Classification
Comparison of models for predicting winter individual thermal comfort based on machine learning algorithms
Chiller faults detection and diagnosis with sensor network and adaptive 1D CNN
Collaborative deep learning framework on IoT data with bidirectional NLSTM neural networks for energy consumption forecasting
A solar forecasting framework based on federated learning and distributed computing
Editorial: AI and IoT applications of smart buildings and smart environment design, construction and maintenance
Short-Term Photovoltaic Power Forecasting Based on Historical Information and Deep Learning Methods
A Novel Computational Framework for Precision Diagnosis and Subtype Discovery of Plant With Lesion
ADN: ATSS-based Deep Network for Pedestrian Detection on High-Resolution Images
Highly accurate energy consumption forecasting model based on parallel LSTM neural networks
A hybrid deep learning technology for PM2.5 air quality forecasting
Multivariate Air Quality Forecasting With Nested Long Short Term Memory Neural Network
Chiller fault detection and diagnosis with anomaly detective generative adversarial network
Deep Learning Enhanced Solar Energy Forecasting with AI‐Driven IoT
Occupancy-based energy consumption modelling using machine learning algorithms for institutional buildings
Deep Learning Neural Network Model for Tunnel Ground Surface Settlement Prediction Based on Sensor Data
Deep Transfer Learning for Cross-Species Plant Disease Diagnosis Adapting Mixed Subdomains
Guest Editorial: Machine Learning for AI-Enhanced Healthcare and Medical Services: New Development and Promising Solution
Generative adversarial network for fault detection diagnosis of chillers
Chiller Fault Diagnosis Based on VAE-Enabled Generative Adversarial Networks
Unsupervised learning for fault detection and diagnosis of air handling units
Robust model-based fault diagnosis for air handling units
Amyloid precursor protein at node of Ranvier modulates nodal formation