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    Intuitionistic Fuzzy Hamacher Generalized Shapley Choquet Integral Operators Based Decision-Making Model for Feature Extraction and Automatic Material Classification in Mining Area Using Satellite Data by Seema Khanum, M. Gunasekaran, S. V. Rajiga, A. Firos, Kafui Tsoeke Agbevanu

    Published 2022-01-01
    “…Therefore, this study is proposing a single-valued neutrosophic set (SVNS) (a variant of NS)-based method as a decision-making model using intuitionistic fuzzy Hamacher generalized Shapley Choquet integral operators for feature extraction and automatic material classification in mining area using satellite data. The experimental results show that this decision-making model using intuitionistic fuzzy Hamacher generalized Shapley Choquet integral operators for feature extraction and automatic material classification can better predict the presence of four heavy metals, i.e., vanadium(V), iron (Fe), copper (Cu), and nickel (Ni) in the study area than other methods. …”
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    A Comparison of Physical-Based and Statistical-Based Radiative Transfer Models in Retrieving Atmospheric Temperature Profiles from the Microwave Temperature Sounder-II Onboard the Feng-Yun-3 Satellite by Qiurui He, Xiao Guo, Ruiling Zhang, Jiaoyang Li, Lanjie Zhang, Junqi Jia, Xuhui Zhou

    Published 2025-01-01
    “…We develop a deep neural network-based RTM (DNN-based RTM) to calculate the simulated BTs for the Microwave Temperature Sounder-II onboard the Fengyun-3D satellite under different weather conditions. The DNN-based RTM is compared in detail with the physical-based RTM in retrieving the atmospheric temperature profiles by the statistical retrieval scheme. …”
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