A5010243176- Access Control and Trust
- Hydrological Forecasting Using AI
- Logic, Reasoning, and Knowledge
- Energy Load and Power Forecasting
- Air Quality and Health Impacts
- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Security and Verification in Computing
- Industrial Vision Systems and Defect Detection
- Water resources management and optimization
- Grey System Theory Applications
- Advanced Algorithms and Applications
- Chinese history and philosophy
- Semantic Web and Ontologies
- Climate Change and Health Impacts
- Neural Networks and Applications
- Hydrology and Watershed Management Studies
- Engineering Diagnostics and Reliability
- Manufacturing Process and Optimization
- Multi-Agent Systems and Negotiation
- Water Quality Monitoring Technologies
- Cloud Data Security Solutions
- Water Systems and Optimization
- Advanced Battery Technologies Research
- Reservoir Engineering and Simulation Methods
Harbin Institute of Technology
2025
Inner Mongolia University of Technology
2025
Chongqing Technology and Business University
2010-2024
Hebei Normal University
2024
Institute of Software
2024
China University of Petroleum, East China
2024
Shanghai Ocean University
2023
University of Algarve
2019-2023
Shandong University of Technology
2002-2023
University of Electronic Science and Technology of China
2023
In this study, an improved target-detection model based on information theory is proposed to address the difficulties of crack-detection tasks, such as slender target shapes, blurred boundaries, and complex backgrounds. By introducing a multi-scale gain mechanism global–local feature coupling strategy, has significantly extraction expression capabilities. Experimental results show that, single-crack dataset, model’s mAP@50 mAP@50-95 are 1.6% 0.8% higher than baseline RT-DETR, respectively;...
An echo state network (ESN) is a recurrent neural with low computational complexity. However, single ESN cannot extract effective features from complex inputs, especially for dealing low-cost condition signals in machinery fault diagnosis. A novel deep learning model, referred to as the fuzzy (DFESN), was proposed improve feature extraction capability less burden. In present method, output data of previous reservoir were regarded abstract vectors next input. The reinforced each hidden layer...
Since China joined the WTO, its economy has experienced rapidly growth, resulting in significantly increase fossil fuel consumption and corresponding rise CO2 emissions. Currently, is world's largest emitter of CO2, regional distribution also extremely uneven. so, it important to identify factors influence emissions three regions predict future trends based on these factors. This paper proposes 14 carbon emission uses random forest feature ranking algorithm rank importance regions. The main...
Fault diagnosis is of importance to guarantee the printing quality and avoid unexpected downtime for 3-D printers. In this paper, a sparse echo autoencoder network (SEAEN) proposed fault delta printers using attitude data. Considering practicality economy diagnosis, data, including three-axial angular velocity signals, vibratory acceleration ones, magnetic field intensity are collected by installing low-cost sensor on moving platform printer. However, will increase chaos To make up...