Fangdong Wang

ORCID: 0000-0003-3185-3682
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About
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Research Areas
  • Metaheuristic Optimization Algorithms Research
  • Electric Vehicles and Infrastructure
  • Robotic Path Planning Algorithms
  • Risk and Safety Analysis
  • Video Surveillance and Tracking Methods
  • Smart Grid Energy Management
  • Energy and Environmental Systems
  • Gastric Cancer Management and Outcomes
  • Optimal Power Flow Distribution
  • Advanced Sensor and Control Systems
  • Advanced Image and Video Retrieval Techniques
  • Internet of Things and Social Network Interactions
  • Engineering Applied Research
  • Radiomics and Machine Learning in Medical Imaging
  • Microgrid Control and Optimization
  • Advanced Data Compression Techniques
  • Optimization and Search Problems
  • Advanced Image Processing Techniques
  • Image Enhancement Techniques
  • Gastrointestinal Tumor Research and Treatment
  • Advanced Algorithms and Applications
  • Aerosol Filtration and Electrostatic Precipitation
  • Advanced Battery Technologies Research

Fujian Electric Power Survey & Design Institute
2023-2024

Nanjing Medical University
2024

Huaian First People’s Hospital
2024

Harbin Engineering University
2024

Minjiang University
2021-2022

10.4236/jcc.2025.131007 article EN Journal of Computer and Communications 2025-01-01

Abstract The variation of void fraction and interfacial area concentration can affect the heat transfer, mass drags. This study investigates air-water two-phase flow in 5 × Rod Bundle Channels with a spacer grid. four-sensor conductivity probe was used to measure distribution local parameters (void fraction, concentration, bubble Sauter mean diameter, frequency, velocity) across channels cross-sections at 36.5, 56, 65.2, 77, 87.6 hydraulic diameters. experimental data analyze development...

10.1115/icone31-134834 article EN Volume 15: Student Paper Competition 2024-08-04

10.1109/itecasia-pacific63159.2024.10738686 article EN 2022 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific) 2024-10-10

To develop and validate a machine learning (ML) model which combined computed tomography (CT) semantic radiomics features to preoperatively predict Ki-67 expression in gastrointestinal stromal tumors (GISTs) patients. We retrospectively collected the clinical, imaging pathological data of 149 GISTs randomly assigned patients ratio 7:3 training set (104 cases) validation (45 set. divided into low high group according postoperative pathology. CT were analyzed from preoperative enhancement...

10.1038/s41598-024-80978-y article EN cc-by-nc-nd Scientific Reports 2024-11-26

Abstract While the large-scale access to distributed new energy brings economic and environmental benefits, its inherent uncertainty characteristics also trigger problems such as voltage overruns fluctuations. In order effectively solve adverse effects of grid connection energy, this paper proposes optimization method regional autonomy capacity based on robust chance constraint model. First, measurement distribution is studied, model containing constructed. Second, active network scheduling...

10.1088/1742-6596/2662/1/012005 article EN Journal of Physics Conference Series 2023-12-01
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