Results 1 to 10 of about 18,445,969 (262)
Mitigation strategies for heat-related illness during mass gatherings: Hajj experience
Frontiers in Public Health, 2022 IntroductionTo mitigate morbidity, mortality, and impacts of heat-related illnesses (HRIs) on health, it was vital to implement a comprehensive framework for HRI prevention and control.
Yasir Almuzaini +7 more
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A hybridization of feedforward neural network and differential evolution to forecast fertilizer consumption emphasizing on selecting optimal architecture [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2021 A fertilizer marketing or producing sector has played an important role in agricultural productivity and also food security around the world for many years.
Thoranin Sujjaviriyasup
doaj +1 more source
Applied Sciences, 2021 Wind speed and wind power are two important indexes for wind farms. Accurate wind speed and power forecasting can help to improve wind farm management and increase the contribution of wind power to the grid.
Qingguo Zhou, Qingquan Lv, Gaofeng Zhang
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Estimating PM2.5 concentrations in a central region of China using a three-stage model
International Journal of Digital Earth, 2023 Owing to uneven environmental monitoring site distribution, there are significant spatial data gaps for concentrations of ambient fine particles with diameters ≤ 2.5 µm (PM2.5) obtained using traditional monitoring methods.
Yue Jing, Long Pan, Yanling Sun
doaj +1 more source
Promet (Zagreb), 2020 In order to improve the accuracy of short-term traffic flow prediction, a combined model composed of artificial neural network optimized by using Genetic Algorithm (GA) and Exponential Smoothing (ES) has been proposed.
Changxi Ma, Limin Tan, Xuecai Xu
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IEALL: Dam Deformation Prediction Model Based on Combination Model Method
Applied Sciences, 2023 The accuracy of dam deformation prediction is a key issue that needs to be addressed due to the many factors that influence dam deformation. In this paper, a dam deformation prediction model based on IEALL (IGWO-EEMD-ARIMA-LSTM-LSTM) is proposed for a ...
Guoyan Xu +4 more
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IEEE Access, 2020 In most studies of dam's displacement prediction based on monitoring data, emphasis was given on improving the prediction accuracy, while the model stability was merely considered.
Yating Hu +3 more
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A Garlic-Price-Prediction Approach Based on Combined LSTM and GARCH-Family Model
Applied Sciences, 2022 The frequent and sharp fluctuations in garlic prices seriously affect the sustainable development of the garlic industry. Accurate prediction of garlic prices can facilitate correct evaluation and scientific decision making by garlic practitioners ...
Yan Wang +5 more
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Balancing Mixed-Model Assembly line in Electronic Industries Company [PDF]
Engineering and Technology Journal, 2016 In this work, an approach to solve mixed-model assembly line balancing Problem has been suggested which consists of six stages. In the fourth stage of this approach, a heuristic method is suggested for solving the combined model.
Sawsan Sabeeh Al-Zubaidy +2 more
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A novel medium- and long-term runoff combined forecasting model based on different lag periods
Journal of Hydroinformatics, 2022 The accuracy of medium- and long-term runoff forecasting plays a significant role in several applications involving the management of hydrological resources, such as power generation, water supply and flood mitigation.
Ping Ai +4 more
doaj +1 more source