首页|University of Sfax Reports Findings in Machine Learning (Coping with the tale of natural resources and environmental inequality: an application of the machine learning tools)
University of Sfax Reports Findings in Machine Learning (Coping with the tale of natural resources and environmental inequality: an application of the machine learning tools)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Sfax, Tunisi a, by NewsRx correspondents, research stated, “With the risingmomentum accordin g to the environmentalist voices seeking climate justice for more equity and the importanceof encouraging environmental justice mechanisms and tools, in this p erspective, the objectiveof this study is to analyze in depth the substantial r ole of natural resources abundance in the environmentalinequality issue. For th is purpose, this study adopted the eXtreme Gradient Boosting (XGBoost),LightGBM , Natural Gradient Boosting (NGBoost), Hybrid hybrid upper confidence bound-long shorttermmemory-Genetic Algorithm (UCB-LSTM-GA), and the Shapley Additive Exp lanation (SAE) machinelearning algorithms in the context of 21 emerging economi es spanning the years 2001 to 2019.”
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