Xiaoyu Wu

ORCID: 0009-0002-1287-9799
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About
Contact & Profiles
Research Areas
  • Optimization and Search Problems
  • Remote Sensing and LiDAR Applications
  • Rangeland Management and Livestock Ecology
  • Remote Sensing and Land Use
  • Modular Robots and Swarm Intelligence
  • Micro and Nano Robotics
  • Advanced Decision-Making Techniques
  • Forest Management and Policy
  • Conservation, Biodiversity, and Resource Management

Tongji University
2025

National University of Singapore
2024

Inner Mongolia Agricultural University
2022

Magnetic field-driven microrobots have shown high potential in the field of medical applications. Autonomous navigation is a crucial concern for magnetic microrobots, however, path planning, actuation and control still remain challenging, especially complex large-workspace human body environments. Depending on specific task environmental conditions, it important to employ appropriate planning architectures systems. In light this objective, paper introduces novel framework, using an improved...

10.1109/tase.2024.3379364 article EN IEEE Transactions on Automation Science and Engineering 2024-01-01

Forest resources are the most important natural resources; their dynamic changes (growth or decline) affected by socio-economic factors, and to study linkage is of great significance. However, relationship between forest social economic factors normally a multivariate nonlinear relationship. There difficulties in accurately analyzing it using traditional multivariate-statistical methods. Also, its explicit mathematical model inconvenient for intelligent management. In this paper, radial...

10.15376/biores.17.2.2313-2330 article EN publisher-specific-oa BioResources 2022-02-28

China has experienced extensive forest transition. The biophysical conditions and socio-economic effects in different regions are quite such a large country. However, few studies have paid attention to local dynamics understand how transition taken place at the level process of quality. This study uses statistics from 1980 2018 analyze Inner Mongolia dual perspectives quantity Radial Basis Function Neural Network (RBFNN) modeling combines sensitivity analysis method comprehensively factors...

10.2139/ssrn.4191552 article EN SSRN Electronic Journal 2022-01-01
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