Jiale Wang

ORCID: 0000-0003-3938-9706
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About
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Research Areas
  • Advanced Algorithms and Applications
  • Hydrocarbon exploration and reservoir analysis
  • Mechatronics Education and Applications
  • Advanced MRI Techniques and Applications
  • Manufacturing Process and Optimization
  • Industrial Vision Systems and Defect Detection
  • Network Security and Intrusion Detection
  • Medical Imaging Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Seismic Imaging and Inversion Techniques
  • Advanced machining processes and optimization
  • Geological Modeling and Analysis
  • Metallurgy and Material Forming

Beijing City University
2024

Shanghai Jiao Tong University
2023

Shandong Normal University
2015-2021

China University of Petroleum, Beijing
2018

10.1109/itoec63606.2025.10968809 article EN 2018 IEEE 4th Information Technology and Mechatronics Engineering Conference (ITOEC) 2025-03-14

Deep learning models have shown great potential in reducing low-dose (LD) positron emission tomography (PET) image noise by estimating full-dose (FD) images from the corresponding LD images. Those models, however, when trained on paired LD-FD PET a source scanner, fail to generalize well applied target due phenomenon called "domain drift." In this study, we present method for cross-scanner reduction. This is done via self-ensembling framework using limited number of and large scanner. The...

10.1109/trpms.2023.3347602 article EN IEEE Transactions on Radiation and Plasma Medical Sciences 2023-12-27

Su-Field analysis, as one of TRIZ analytical tool for solving inventive problems, can be used to improve the performance technical system effectively. Generally, choosing an appropriate standard is critical problems efficiently and accurately. However, these standards are summarized categorized based on enormous amount patents in different domains, they built high level abstraction, independently specific application field, making their use require much more knowledge than other tools. In...

10.1016/j.procs.2021.08.019 article EN Procedia Computer Science 2021-01-01

The elongation prediction of strips in furnace is extremely important annealing process, which determines the quality and yield product [1, 2].Furthermore, safety airknife also depends on accuracy [3,4].Thus, optimal soft-sensing method proposed based kernel principal component analysis (KPCA) optimized weighted least squares support vector machine (WLSSVM) by immune clone particle swarm optimization (ICPSO).Avoiding particles are easy to sink into premature convergence run local iterative...

10.2991/aiie-15.2015.92 article EN cc-by-nc Advances in intelligent systems research/Advances in Intelligent Systems Research 2015-01-01

Summary Structural and stratigraphic discontinuities, such as faults channels, usually contribute to the construction of traps reservoirs, since it can form storage space provide migration for oil natural gas. The coherence technique has been widely used identify these abnormal features in subsurface. We propose a structure oriented 3D feature characterization by orienting calculation perpendicular seismic structures using both dip scanning multi-azimuthal searching. Through analyzing slices...

10.3997/2214-4609.201801266 article EN Proceedings 2018-06-11
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