Huang Yong

ORCID: 0009-0003-2608-429X
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About
Contact & Profiles
Research Areas
  • Advanced Measurement and Detection Methods
  • Infrastructure Maintenance and Monitoring
  • Mechanical Engineering and Vibrations Research
  • Radar Systems and Signal Processing
  • Structural Health Monitoring Techniques
  • Seismic Performance and Analysis
  • AI and Big Data Applications
  • Educational Robotics and Engineering
  • Ocean Waves and Remote Sensing
  • Aluminum Alloy Microstructure Properties
  • Geophysical Methods and Applications
  • Power Systems and Technologies
  • Ocular and Laser Science Research
  • Liver Disease Diagnosis and Treatment
  • Optical Systems and Laser Technology
  • Robotic Mechanisms and Dynamics
  • Groundwater flow and contamination studies
  • Structural Engineering and Vibration Analysis
  • Concrete Corrosion and Durability
  • Medical Image Segmentation Techniques
  • COVID-19 diagnosis using AI
  • Simulation and Modeling Applications
  • Smart Grid and Power Systems
  • Artificial Intelligence in Healthcare
  • Metallurgy and Material Forming

Wuhan University
2023

Renmin Hospital of Wuhan University
2023

China Earthquake Administration
2017

Hunan University of Technology
2009

Chinese People's Liberation Army
2008

State Grid Corporation of China (China)
2006

To meet the radar data requirements of target detection technology research and address lack publicly available sea-detecting data, a data-sharing program for is proposed herein. The aim to conduct sea experiments using an X-band solidstate phase-coherent other multi-type radars obtain clutter under different conditions, resolutions, grazing angles. Moreover, marine meteorological hydrological position, track are simultaneously obtained help achieve standardized management radar-measured...

10.12000/jr19089 article EN DOAJ (DOAJ: Directory of Open Access Journals) 2019-10-01

Identifying contaminant sources is crucial for managing groundwater contamination, particularly in complex fracture networks. Traditional methods source identification often face limitations such as sensitivity to data perturbations, reliance on simplified hydrological models, and challenges handling the ill-posed nature of inverse problem. This study introduces a novel application Bayesian Evidential Learning (BEL) quantify uncertainty networks(Hermans et al., 2018; Thibaut 2021).BEL relies...

10.5194/egusphere-egu25-11456 preprint EN 2025-03-14

Flying birds and Unmanned Aerial Vehicles (UAVs) are typical “low, slow, small” targets with low observability. The need for effective monitoring identification of these two has become urgent must be solved to ensure the safety air routes urban areas. There many types flying UAVs that characterized by heights, strong maneuverability, small radar cross-sectional areas, complicated detection environments, which posing great challenges in target worldwide. “Visible (high ability) clear-cut...

10.12000/jr20068 article EN 雷达学报 2020-10-28

In the present study we analyze biomechanical properties of life-form parenchyma, derive relationship between MR displacement-phase image and elasticity thereby local frequency estimation(LFE) algorithm. Finally algorithm is relized by Matlab, inversion results phantom MRE demonstrate effectiveness LFE algorithm, which would form a basis for subsequent research on liver fibrosis classification .

10.7498/aps.60.090204 article EN cc-by Acta Physica Sinica 2011-01-01

On August 3rd, 2014, the Ludian earthquake in China with magnitude of 6.5 caused tremendous loss infrastructure systems. The Niulanjiang Bridge is a high pier bridge, which situates close to epicenter. In present paper, damage features lifeline system based on field investigations are firstly discussed. Then response analysis implemented by adopting real strong ground motions, and parts may be dangerous during this excitation studied. Finally, some seismic countermeasures for bridge proposed.

10.1061/9780784480342.016 article EN 2017-08-10

In order to alleviate the contradiction between supply and demand of professional pharmacists, integrate medical resources, ensure safety patients' medication, telemedicine diagnosis system has played a great role. Today, in this "Internet +" era, all walks life have begun with Internet technology. The purpose paper was discuss practical utility machine learning natural language processing algorithms remote mobile hospitals, for which conducted in-depth discussion. This first introduced...

10.1145/3632172 article EN ACM Transactions on Asian and Low-Resource Language Information Processing 2023-11-17
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