- Additive Manufacturing and 3D Printing Technologies
- Additive Manufacturing Materials and Processes
- Manufacturing Process and Optimization
- Visual Attention and Saliency Detection
- Digital Transformation in Industry
- Advanced machining processes and optimization
- Advanced Neural Network Applications
- Industrial Vision Systems and Defect Detection
- Advanced Decision-Making Techniques
- Robotic Path Planning Algorithms
- earthquake and tectonic studies
- Epilepsy research and treatment
- Machine Fault Diagnosis Techniques
- Iterative Learning Control Systems
- Seismology and Earthquake Studies
- Advanced Control Systems Optimization
- AI in cancer detection
- Transportation Planning and Optimization
- Seismic Waves and Analysis
- Advanced Algorithms and Applications
- Water Resources and Sustainability
- Value Engineering and Management
- Mobile Crowdsensing and Crowdsourcing
- Software Testing and Debugging Techniques
- Glycogen Storage Diseases and Myoclonus
Zhejiang University
2007-2024
Hong Kong Polytechnic University
2022-2024
Zhejiang Province Institute of Architectural Design and Research
2024
China State Construction Engineering (China)
2024
Nanyang Technological University
2024
Beijing Institute of Technology
2022-2024
Xi'an Airborne Electromagnetic Technology (China)
2024
China Electric Power Research Institute
2023
National Institute of Metrology
2023
Northeastern University
2023
The intelligent monitoring of cutting tools used in the manufacturing industry is steadily becoming more convenient. To accurately predict state and tool breakages, this study proposes a wear prediction technique based on multi-sensor information fusion. First, vibrational, current, force signals transmitted during machining process were collected, features extracted. Next, Kalman filtering algorithm was for feature fusion, predictive model constructed by combining ResNet long short-term...
High-density land uses cause high-intensity traffic demand. Metro as an urban mass transit mode is considered a sustainable strategy to balance the high-density development and However, capacity of metro cannot always meet demand during rush hours. It calls for agents reinforce operation management standard improve service level. Passenger flow prediction foremost pivotal technology in improving level metro. important technological means ensuring steady transportation. This paper...
The rapid development of electric vehicles (EVs) makes the load vehicle charging stations (EVCSs) affect power grid. Aiming at low accuracy station forecasting caused by number EVs, temperature and electricity price, other factors, this paper proposes a method EVCSs based on combination multivariable residual correction grey model (EMGM) long short-term memory (LSTM) network. Firstly, influencing factors are analysed, theory is introduced into forecast EVCSs. role EMGM in taking account...
Automated classification of breast cancer subtypes from digital pathology images has been an extremely challenging task due to the complicated spatial patterns cells in tissue micro-environment. While newly proposed graph transformers are able capture more long-range dependencies enhance accuracy, they largely ignore topological connectivity between nodes, which is nevertheless critical extract representative features address this difficult task. In paper, we propose a novel...
In order to improve the adaptability of mobile robot path planning algorithm, a solution for robotic method using improved genetic algorithm is proposed. this method, chromosome with variable length introduced in algorithm. addition, new fitness function and three operators are proposed study, including simplification operator, revision operator substitution operator. The results experiment show that much more adaptive feasible.
This paper proposes a biomechanical performance design method of joint prosthesis for medical rehabilitation via Generative Structure Optimization (GSO). Firstly, the 3D reconstruction manifold structure involving hard bone and cartilage is sequentially progressively implemented from heterogeneous images such as Computed Tomography (CT) Magnetic Resonance Imaging (MRI) iteration. On basis reconstructed mesh structure, finite element (FEM) hereby employed to verify by evaluating mechanical...
This article proposes a support diminution design method for layered manufacturing of manifold surface based on variable orientation tracking (VOT). We aim at reducing the external or upholders to minimum with maximum possibility theoretically save material and diminish stripping effect (MSE), thereby improving bilateral precision either exterior interior. The cosmic gravity criterion is first used extract need from various materials by considering balance force involving characteristics...
A self-calibration method utilizing spherical constraints is proposed for calibration of robot end-effectors. The establishes a mathematical model to account both the geometric errors and deformation end-effector. nonlinear least-squares parameter identification technique based on employed achieve autonomous Contrasted with methodologies relying point plane or distance constraints, this novel delivers superior positioning accuracy, streamlined operational procedures enhanced efficiency. Both...