Yuan Wang

ORCID: 0000-0003-4810-1671
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About
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Research Areas
  • Energy, Environment, Economic Growth
  • Energy and Environment Impacts
  • Energy, Environment, and Transportation Policies
  • Economic Growth and Development
  • Cardiac Valve Diseases and Treatments
  • Medical Image Segmentation Techniques
  • Infective Endocarditis Diagnosis and Management
  • Cardiac Imaging and Diagnostics
  • Advanced Neural Network Applications
  • Medical Imaging and Analysis

Beijing Friendship Hospital
2024

Capital Medical University
2024

Chongqing Technology and Business University
2024

Hebei University of Technology
2024

North China Electric Power University
2023

A detailed investigation of the nexus between economic growth and energy use is imperative for formulating sustainable development policies. In this study, we examine panel cointegration causality relations among growth, use, capital stock, labor in 30 Chinese provinces 2000–2019. We conduct a comprehensive empirical analysis based on modeling neoclassical production function. The findings second-generation unit root co-integration tests reveal that these variables have long-term linkages....

10.1016/j.cjpre.2023.06.003 article EN cc-by-nc-nd Chinese Journal of Population Resources and Environment 2023-06-01

This study proposes a multimodal feature alignment network for early prediction of new-onset conduction disturbance after the Transcatheter Aortic Valve Replacement (TAVR) surgery. Based on medical prior knowledge, baseline clinical information, calcification in aortic root complex region, radionics features, and CT slices , are used as data, selection methods to select features that highly correlated with disease. Then, by using cross attention mechanisms between patterns, data from...

10.1145/3653781.3653805 article EN 2024-01-19

Neurosurgical scene segmentation can provide surgeons with the real-time location and perimeter details of important tissues instruments. The anatomical structure representation surgical instruments contribute to evaluating skills, tracking carrying out intraoperative navigation. However, some inherent limitations including scale variability, local similarity interclass tissues, bring bottlenecks for accurate segmentation. To address these challenges, we propose a Multi-Scale Feature...

10.1109/isas61044.2024.10552618 article EN 2022 5th International Symposium on Autonomous Systems (ISAS) 2024-05-07
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