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Effective estimation of hourly global solar radiation using machine learning algorithms
(HINDAWI LTD, ADAM HOUSE,, 2020)
The precise estimation of solar radiation is of great importance in solar energy applications with respect to installation and capacity.
In estimate modelling on selected target locations, various computer-based and ...
Development of a multi-dimensional parametric model with non-pharmacological policies for predicting the COVID-19 pandemic casualties
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020)
Coronavirus Disease 2019 (COVID-19) has spread the world resulting in detrimental effects on human health, lives, societies, and economies. The state authorities mostly take non-pharmacological actions against the outbreak ...
A novel parametric model for the prediction and analysis of the COVID-19 casualties
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020)
Coronavirus disease (COVID-19) outbreak has affected billions of people, where millions of them have been infected and thousands of them have lost their lives. In addition, to constraint the spread of the virus, economies ...
River flow estimation using artificial intelligence and fuzzy techniques
(MDPI., 2020)
Accurate determination of river flows and variations is used for the efficient use of water resources, the planning of construction of water structures, and preventing flood disasters. However, accurate flow prediction is ...
Estimating dam reservoir level fluctuations using data-driven techniques
(HARD, 2019)
Estimating dam reservoir level is very important in terms of the operation of a dam, the safety of transport in the river, the design of hydraulic structures, and determining pollution, the salinity of the river flow ...