Kang Wang

ORCID: 0000-0001-5745-5530
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About
Contact & Profiles
Research Areas
  • 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...

10.3390/s24082652 article EN cc-by Sensors 2024-04-21

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...

10.3390/su12176844 article EN Sustainability 2020-08-23

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...

10.1016/j.egyr.2021.08.015 article EN cc-by-nc-nd Energy Reports 2021-11-01

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...

10.1109/tmi.2024.3381239 article EN IEEE Transactions on Medical Imaging 2024-03-25

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.

10.1109/fskd.2016.7603165 article EN 2016-08-01

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...

10.1080/10255842.2020.1789970 article EN Computer Methods in Biomechanics & Biomedical Engineering 2020-07-14

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...

10.1089/3dp.2020.0203 article EN 3D Printing and Additive Manufacturing 2021-05-11

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...

10.3390/app14219824 article EN cc-by Applied Sciences 2024-10-28
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