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Kefa Zhou

Biographic Data

ID9807098
NAMEKefa Zhou
GIVEN NAMESKefa
FAMILY NAMEZhou
SIGNATUREZHOU K
AFFILIATIONSXinjiang Institute of Ecology and Geography
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Research on Global Off-Road Path Planning Based on Improved A* Algorithm

    Open Access•Zhihong Lv, Li Ni et al.•ARTICLE•ISPRS International Journal of…•2024

    In field driving activities, off-road areas usually lack existing paths that can be directly driven on by ground vehicles, but their surface environments can still satisfy the planning and passage requirements of some off-road vehicles. Additionally, the existing path planning methods face limitations in complex field environments characterized by undulating terrains and diverse land cover types. Therefore, this study introduces an improved A* al…

  • Mapping Mineral Prospectivity Using a Hybrid Genetic Algorithm–Support Vector Machine (GA–SVM) Model

    Open Access•Xishihui Du, Kefa Zhou et al.•ARTICLE•ISPRS International Journal of…•2021

    Machine learning (ML) as a powerful data-driven method is widely used for mineral prospectivity mapping. This study employs a hybrid of the genetic algorithm (GA) and support vector machine (SVM) model to map prospective areas for Au deposits in Karamay, northwest China. In the proposed method, GA is used as an adaptive optimization search method to optimize the SVM parameters that result in the best fitness. After obtaining evidence layers from …

No prominent works on this page.

  • Mapping Mineral Prospectivity Using a Hybrid Genetic Algorithm–Support Vector Machine (GA–SVM) Model

    Open Access•Xishihui Du, Kefa Zhou et al.•ARTICLE•ISPRS International Journal of…•2021

    Machine learning (ML) as a powerful data-driven method is widely used for mineral prospectivity mapping. This study employs a hybrid of the genetic algorithm (GA) and support vector machine (SVM) model to map prospective areas for Au deposits in Karamay, northwest China. In the proposed method, GA is used as an adaptive optimization search method to optimize the SVM parameters that result in the best fitness. After obtaining evidence layers from …

  • Research on Global Off-Road Path Planning Based on Improved A* Algorithm

    Open Access•Zhihong Lv, Li Ni et al.•ARTICLE•ISPRS International Journal of…•2024

    In field driving activities, off-road areas usually lack existing paths that can be directly driven on by ground vehicles, but their surface environments can still satisfy the planning and passage requirements of some off-road vehicles. Additionally, the existing path planning methods face limitations in complex field environments characterized by undulating terrains and diverse land cover types. Therefore, this study introduces an improved A* al…

Algorithm (2 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Control and Dynamics of Mobile Robots (1 work) · Data mining (1 work) · Genetic algorithm (1 work) · Geochemistry and Geologic Mapping (1 work) · Geology (1 work) · Geomorphology (1 work) · Machine learning (1 work)

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