A5100780023- Building Energy and Comfort Optimization
- Energy Load and Power Forecasting
- Energy Efficiency and Management
- Particle physics theoretical and experimental studies
- Refrigeration and Air Conditioning Technologies
- Quantum Chromodynamics and Particle Interactions
- High-Energy Particle Collisions Research
- Advanced Vision and Imaging
- Image Processing Techniques and Applications
- Impact of Light on Environment and Health
- Wind and Air Flow Studies
- Advanced Chemical Sensor Technologies
- Urban Heat Island Mitigation
- Fault Detection and Control Systems
- Advanced Sensor and Control Systems
- Air Quality Monitoring and Forecasting
- Automated Road and Building Extraction
- Multi-Agent Systems and Negotiation
- Educational Technology and Pedagogy
- Educational Reforms and Innovations
- 3D Modeling in Geospatial Applications
- COVID-19 diagnosis using AI
- Optical measurement and interference techniques
- Medical Image Segmentation Techniques
- Computer Graphics and Visualization Techniques
Wuhan University of Science and Technology
2017-2024
Xi'an University of Architecture and Technology
2023-2024
Nanjing University of Science and Technology
2014-2024
Hebei Normal University
2022-2024
Nanjing Normal University
2021-2023
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application
2021-2023
Chinese Academy of Sciences
2016-2023
Anhui Jianzhu University
2023
Chongqing University
2023
East China Normal University
2022-2023
Identification of catalytic species and their contributions in iron catalyzed sugar conversion to hydroxymethylfurfural levulinic acid.
Faults are inevitable in building energy systems, such as heating, ventilation, air conditioning and refrigeration systems. With the increasing utilization of these their fault detection diagnosis has become more significant for maintaining operation performance. The rapid development data analytics led to using data-based algorithms considering intelligence. Feature engineering, which focuses on generating near minimum optimal model inputs from original dataset, is a fundamental technique...
Auxiliary diagnosis and monitoring of lung diseases based on ultrasound (LUS) images is important clinical research. A-line one the most common indicators LUS that can offer support for assessment diseases. A traditional detection method mainly relies experienced clinicians, which inefficient cannot meet needs these areas with backward medical level. Therefore, how to realize automatic in image important.In order solve disadvantages methods, accurate detection, provide theoretical...
Abstract We present a novel approach to create relightable free‐viewpoint human performances from multi‐view video recorded under general uncontrolled and uncalibated illumination. first capture sequence of an actor wearing arbitrary apparel reconstruct spatio‐temporal coherent coarse 3D model the performance using marker‐less tracking approach. Using these reconstructions, we estimate low‐frequency component illumination in spherical harmonics (SH) basis as well diffuse reflectance, then...
For brain diseases, e.g., autism spectrum disorder (ASD), with unclear biological characteristics, the detection of imaging-based biomarkers is a critical task for diagnosis. Several landmark-based categorization approaches have been developed computer-aided diagnosis such as Alzheimer’s disease (AD), utilizing structural magnetic resonance imaging (sMRI). With automatic landmarks disease, more detailed features were identified clinical Multi-instance learning an effective technique...