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Showing 1,661 - 1,680 results of 4,583 for search '((\ spatial research algorithm\ ) OR ((\ pain OR \ main) research algorithm\ ))', query time: 0.36s Refine Results
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    Multi-Objective Optimization for Green BTS Site Selection in Telecommunication Networks Using NSGA-II and MOPSO by Salar Babaei, Mehran Khalaj, Mehdi Keramatpour, Ramin Enayati

    Published 2025-01-01
    “…After presenting the mathematical model, validation was performed on a small scale, followed by sensitivity analysis of the main parameters of the model. Furthermore, a metaheuristic algorithm was employed to analyze the NP-Hardness of the model. …”
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    Combination of Conditioning Factors for Generation of Landslide Susceptibility Maps by Extreme Gradient Boosting in Cuenca, Ecuador by Esteban Bravo-López, Tomás Fernández, Chester Sellers, Jorge Delgado-García

    Published 2025-04-01
    “…In this study, a specific Machine Learning (ML) method was further analyzed due to the good results obtained in the previous stage of this research. The algorithm implemented is Extreme Gradient Boosting (XGBoost), which was used to evaluate the susceptibility to landslides recorded in the city of Cuenca (Ecuador) and its surroundings, generating the respective Landslide Susceptibility Maps (LSM). …”
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    The Application of Radiofrequency Waves in Supportive Treatment of Temporomandibular Disorders by M. Pihut, M. Górnicki, M. Orczykowska, E. Zarzecka, W. Ryniewicz, A. Gala

    Published 2020-01-01
    “…The search for new methods of supportive treatment of TMD is an important research direction due to the complex etiology of this disease and the lack of an explicit treatment algorithm. …”
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    Sea-land climate gradient: a factor influencing vegetation phenology patterns in Yellow River Delta region by Ruyun Liu, Quanzhou Yu, Yujie Liu, Junjie Chen, Tianquan Liang, Qingxin Tang, Yongjin Chen, Jicai Ning, Zhenguo Niu, Shaoqiang Wang

    Published 2025-01-01
    “…Therefore, we took the vegetation in the Yellow River Delta (YRD) wetland in China as a research object. The Gap Filling and Savitzky–Golay algorithm was selected to fuse MODIS_NDVI with Landsat for extracting vegetation phenology based on classification. …”
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