Yang Xiaoming

ORCID: 0009-0001-4880-8258
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About
Contact & Profiles
Research Areas
  • Diversity and Impact of Dance
  • Outdoor and Experiential Education
  • Diverse Educational Innovations Studies
  • Advanced Technologies in Various Fields
  • Hydraulic Fracturing and Reservoir Analysis
  • Optical measurement and interference techniques
  • Drilling and Well Engineering
  • Advanced Manufacturing and Logistics Optimization
  • Indigenous and Place-Based Education
  • AI and Multimedia in Education
  • Advanced Measurement and Metrology Techniques
  • E-commerce and Technology Innovations
  • Reservoir Engineering and Simulation Methods
  • Urban and Freight Transport Logistics
  • Vehicle Routing Optimization Methods
  • Advanced Optical Sensing Technologies

Universiti Putra Malaysia
2024

Research Institute of Petroleum Exploration and Development
2016

This study aims to comprehensively analyze and evaluate the quality of college physical dance education using Convolutional Neural Network (CNN) models deep learning methods. The introduces a teaching evaluation (TQE) model based on one-dimensional CNN, addressing issues such as subjectivity inconsistent criteria in traditional assessment By constructing comprehensive TQE system comprising 24 indicators, this innovatively applies technology quantitatively assess education. processes data by...

10.1016/j.heliyon.2024.e36067 article EN cc-by Heliyon 2024-08-01

Abstract It is difficult to calculate reservoir parameters of tight sand reservoirs using conventional interpretation methods, due their complex lithology and variable pore structure. An optimization log method able take full advantage the data geological information. Therefore, it an effective evaluate reservoirs. In this study, in order reservoirs, appropriate model needed be first established according reservoirs’ characteristics. Then, were chosen, specific form objective function was...

10.1002/cjg2.20241 article EN Chinese Journal of Geophysics 2016-07-01
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