Gang Liang

ORCID: 0009-0007-0686-4634
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Mechanical stress and fatigue analysis
  • Structural Load-Bearing Analysis
  • Remote Sensing and LiDAR Applications
  • Engineering Structural Analysis Methods
  • Structural Engineering and Vibration Analysis
  • Remote Sensing in Agriculture
  • Underwater Vehicles and Communication Systems
  • Advanced SAR Imaging Techniques
  • Robotics and Sensor-Based Localization
  • Infrared Target Detection Methodologies
  • Advanced Measurement and Detection Methods
  • Atmospheric and Environmental Gas Dynamics
  • Seismic Performance and Analysis
  • Advanced Neural Network Applications
  • Mechanical Failure Analysis and Simulation
  • Structural Engineering and Materials Analysis
  • Adhesion, Friction, and Surface Interactions
  • Industrial Technology and Control Systems
  • Hydrology and Sediment Transport Processes
  • Gear and Bearing Dynamics Analysis
  • Advanced Image and Video Retrieval Techniques
  • Water Quality Monitoring Technologies
  • Fatigue and fracture mechanics

Guilin University of Technology
2024

Sichuan University of Science and Engineering
2024

Inner Mongolia Electric Power (China)
2024

Xi'an University of Technology
2018-2022

Xi'an University of Architecture and Technology
2018-2022

Marine Design & Research Institute of China
2003-2020

Leveraging the excellent feature representation capabilities of neural networks, deep learning methods have been widely adopted for object detection in synthetic aperture radar (SAR) images. However, persistent challenges are encountered SAR ship due to factors such as small sizes, high noise levels, multiple targets, and scale variations. To address these complexities, this paper, MSFA-YOLO algorithm, a novel multiscale approach em-powered by fused attention mechanism, is presented. The...

10.1109/access.2024.3365777 article EN cc-by-nc-nd IEEE Access 2024-01-01

Abstract In this paper, a fretting damage model based on fractal theory is proposed. The Weierstrass–Mandelbrot function of used to represent the rough contact surface, and corresponding parameter analysis method also established. Based neural network algorithm, values parameters are fitted, fitting accuracy has been greatly improved compared with traditional methods. According actual wear process surface analyzed adhesive three-body abrasive wear. A generic program for three-dimensional...

10.1115/1.4049256 article EN Journal of Tribology 2020-12-05

An overview of the developmental history, characteristics, and applications infrared sensors are firstly provided in paper. Subsequently, it delves into sensing mechanisms commonly employed substations, namely thermistor sensors, pyroelectric photoconductive sensors. Thermistor gauge radiation by tracking changes material resistance with temperature. Pyroelectric detect thermal objects based on effects induced radiation. Photoconductive-type leverage effect semiconductors to convert optical...

10.1051/e3sconf/202452201032 article EN cc-by E3S Web of Conferences 2024-01-01

10.1109/igarss53475.2024.10641166 article EN IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 2024-07-07

10.1109/igarss53475.2024.10640677 article EN IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium 2024-07-07

This paper proposes a new type of variable-cross-section replaceable link that can isolate the plastic deformation. The and frame beam connect with expanding section by bolt along flange web separately. It is easy to design an elastic bolt, reduce slippage, facilitate replacement after earthquake. Considering large deformation range high-strength steel superior link, eccentrically braced variable-section raised setting in frame. Then, existing end plate connection test specimen simulated...

10.3390/app12199447 article EN cc-by Applied Sciences 2022-09-21
Coming Soon ...