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Lihui Chen, Zhonghua He, Xiaolin Gu, Mingjin Xu, Shan Pan, Hongmei Tan and Shuping Yang
Droughts are becoming more frequent in the karst region of southwest China due to climate change, and accurate monitoring of karst agricultural droughts is crucial. To this end, in this study, based on random forest (RF) and support vector regression (SV...
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Mohammed Ali Badjadi, Hanhua Zhu, Cunquan Zhang and Muhammad Safdar
The escalating production of shale gas and oil, witnessed prominently in developed nations over the past decade, has sparked interest in prospective development, even in developing countries like Algeria. However, this growth is accompanied by significan...
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Ping Xiao, Ting Wang, Yu Tian, Xinmin Xie, Jinjun You, Xinru Tan and He Chen
In this study, a Bayesian network (BN)-based inhibition model is developed for the rainstorm?landslide?debris flow (R-L-D) disaster chain in the mountainous area of the Greater Bay Area (GBA), China, using the historical disaster data. Twelve nodes are s...
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Sunghae Jun
In big data analysis, various zero-inflated problems are occurring. In particular, the problem of inflated zeros has a great influence on text big data analysis. In general, the preprocessed data from text documents are a matrix consisting of the documen...
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Amal S. Hassan, Aisha Fayomi, Ali Algarni and Ehab M. Almetwally
Unit distributions are typically used in probability theory and statistics to illustrate useful quantities with values between zero and one. In this paper, we investigated an appropriate transformation to propose the unit-exponentiated half-logistic dist...
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