- Advanced Sensor and Control Systems
- Vehicle emissions and performance
- Functional Brain Connectivity Studies
- Economic Zones and Regional Development
- Embedded Systems and FPGA Design
- Advanced Text Analysis Techniques
- Environmental Impact and Sustainability
- Consumer Market Behavior and Pricing
- Digital Marketing and Social Media
- Wireless Sensor Networks and IoT
- Optical Imaging and Spectroscopy Techniques
- Environmental Policies and Emissions
- Sports Dynamics and Biomechanics
- Regional Economic and Spatial Analysis
- Indoor and Outdoor Localization Technologies
- Fault Detection and Control Systems
- Industrial Technology and Control Systems
- Geological Studies and Exploration
- Advanced Algorithms and Applications
- Hydrocarbon exploration and reservoir analysis
- Hearing, Cochlea, Tinnitus, Genetics
- Intensive Care Unit Cognitive Disorders
- Vestibular and auditory disorders
- Neuroscience of respiration and sleep
- Traffic Prediction and Management Techniques
Huadong Hospital
2021-2025
Fudan University
2021-2025
Guangdong University of Technology
2024
Central South University of Forestry and Technology
2015
Central South University
2015
Shanghai University of Sport
2012
Northwestern Polytechnical University
2007
Wuhan University
2004
Tinnitus is considered a neurological disorder affecting both auditory and nonauditory networks. This study aimed to investigate the structural brain covariance network in tinnitus patients analyze its altered topological properties. Fifty three primary 67 age- sex-matched healthy controls (HCs) were included. Gray matter volume (GMV) of each participant was extracted using voxel-based morphometry, group-level (SCN) constructed based on GMV participant, graph theoretic analyses performed...
The pricing and sales volume of vegetables have a direct impact on supermarket's revenue, there is discernible relationship between volume. Hence, determining the optimal for profit maximization paramount importance to supermarkets. This paper primarily explores issue automatic restocking decisions vegetable products. Specifically, we utilize an LSTM-multivariate linear regression hybrid model establish connection pricing. Furthermore, by taking unit price as decision variable objective,...
Objectives: Delayed neurocognitive recovery (DNR) seriously affects the post-operative of elderly surgical patients, but there is still a lack effective methods to recognize high-risk patients with DNR. This study proposed machine learning method based on multi-order brain functional connectivity (FC) network Method: Seventy-four who completed assessments were included in this study, which 16/74 (21.6%) had DNR following surgery. Based resting-state magnetic resonance imaging (rs-fMRI), we...
The node positioning error in wireless sensor has always been the focus of research. A way an improved particle swarm optimization algorithm being proposed to correct DV-Hop method, which can reduce estimate for distance between unknown nodes and anchor nodes. matlab simulation results show that effectively improve accuracy than traditional algorithm. have verified effectiveness