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Lucky O. Daniel, Caston Sigauke, Colin Chibaya and Rendani Mbuvha
Wind offers an environmentally sustainable energy resource that has seen increasing global adoption in recent years. However, its intermittent, unstable and stochastic nature hampers its representation among other renewable energy sources. This work addr...
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Yingli LV, Qui-Thao Le, Hoang-Bac Bui, Xuan-Nam Bui, Hoang Nguyen, Trung Nguyen-Thoi, Jie Dou and Xuan Song
In this study, the ilmenite content in beach placer sand was estimated using seven soft computing techniques, namely random forest (RF), artificial neural network (ANN), k-nearest neighbors (kNN), cubist, support vector machine (SVM), stochastic gradient...
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Yeboah Gyasi-Agyei
Rain gauges continue to be sources of rainfall data despite progress made in precipitation measurements using radar and satellite technology. There has been some work done on assessing the optimum rain gauge network density required for hydrological mode...
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Halit Apaydin, Hajar Feizi, Mohammad Taghi Sattari, Muslume Sevba Colak, Shahaboddin Shamshirband and Kwok-Wing Chau
Due to the stochastic nature and complexity of flow, as well as the existence of hydrological uncertainties, predicting streamflow in dam reservoirs, especially in semi-arid and arid areas, is essential for the optimal and timely use of surface water res...
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Amos O. Anele, Yskandar Hamam, Adnan M. Abu-Mahfouz and Ezio Todini
The stochastic nature of water consumption patterns during the day and week varies. Therefore, to continually provide water to consumers with appropriate quality, quantity and pressure, water utilities require accurate and appropriate short-term water de...
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