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Titlebook: Soft Computing for Problem Solving 2019; Proceedings of SocPr Atulya K. Nagar,Kusum Deep,Kedar Nath Das Conference proceedings 2020 Springe

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Conference proceedings 2020tions (control systems, data mining and clustering, finance, weather forecasting, game theory, business and forecasting applications). It is a valuable resource for both young and experienced researchers dealing with complex and intricate real-world problems that cannot easily be solved using traditional methods. 
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Genetically Optimized Deep Neural Learning for Breast Cancer Prediction,Breast Cancer Dataset) into benign and malignant classes. This technique will help in reducing the time required to diagnose breast cancer at an early stage making treatment effective. The experimentation result is comparable with other state-of-the-art methods in terms of the classification accuracy.
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Two-Stage History Matching for Hydrology Models via Machine Learning,stern Australia to calibrate the five global parameters of Land Use Change Incorporated Catchment (LUCICAT) by matching 33 annual daily streamflow peaks. The results reveal that replacing the LUCICAT by proxy model reduces the computational time by more than 90% with similar accuracy to DHisM and sh
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