Zobrazeno 1 - 10
of 1 473
pro vyhledávání: '"Data-driven models"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Accurate streamflow prediction is crucial for effective water resource management and planning. This study aims to enhance streamflow simulation accuracy in the data-scarce Upper Narmada River Basin (UNB) by proposing a novel hybrid approach
Externí odkaz:
https://doaj.org/article/001bc4f578394f8dbac91e8c2e1a6ee2
Publikováno v:
Royal Society Open Science, Vol 11, Iss 10 (2024)
Reduced-order models (ROMs) have been widely adopted in fluid mechanics, particularly in the context of Newtonian fluid flows. These models offer the ability to predict complex dynamics, such as instabilities and oscillations, at a considerably reduc
Externí odkaz:
https://doaj.org/article/bfd157fdb0e74bd18631b51bd6053d38
Publikováno v:
Water Research X, Vol 24, Iss , Pp 100247- (2024)
In the field of water supply management, multi-steps water demand forecasting plays a crucial role. While there have been many studies related to multi-steps water demand forecasting based on deep learning, little attention has been paid to the inter
Externí odkaz:
https://doaj.org/article/967eba6f7f614f5daa93832979280452
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024)
This study aimed to develop an accurate and reliable model for predicting suspended sediment load (SL) in river systems, which is crucial for water resource management and environmental protection. While Xtreme Gradient Boosting (XGB), a powerful ens
Externí odkaz:
https://doaj.org/article/492f050a492b4badbcceb4e7f123f7b4
Autor:
Mateo Del Gallo, Sara Antomarioni, Giovanni Mazzuto, Giulio Marcucci, Filippo Emanuele Ciarapica
Publikováno v:
Production and Manufacturing Research: An Open Access Journal, Vol 12, Iss 1 (2024)
ABSTRACTData-driven production scheduling and control systems are essential for manufacturing organisations to quickly adjust to the demand for a wide range of bespoke products, often within short lead times. This paper presents a self-learning frame
Externí odkaz:
https://doaj.org/article/7838463c3f1043239886b74d24dc85d9
Autor:
Francisca Lanai Ribeiro Torres, Cassia Akemi Castro Kuki, Michelle Simões Reboita, Luana Medeiros Marangon Lima, José Wanderley Marangon Lima, Anderson Rodrigo de Queiroz
Publikováno v:
Revista Brasileira de Meteorologia, Vol 39 (2024)
Abstract Seasonal precipitation forecasts are essential for water resource management, agricultural activities, and the operational planning of hydropower systems. Any methodological advancement that enhances the accuracy of precipitation predictions
Externí odkaz:
https://doaj.org/article/d499fdd2928845c3a2dbb5095549a9e2
Autor:
Balraj Singh, Vijay K. Minocha
Publikováno v:
Water Science and Technology, Vol 89, Iss 4, Pp 962-975 (2024)
The scouring process near spur dikes poses a threat to riverbank stability, making it crucial for river engineering to accurately calculate the maximum scour depth. However, determining the maximum scour depth has been challenging due to the intricac
Externí odkaz:
https://doaj.org/article/619c4ce408e94076bb70a312bf9038cb
Publikováno v:
IEEE Access, Vol 12, Pp 76102-76120 (2024)
Optimizing vessel hull resistance is pivotal for enhancing maritime performance and minimizing environmental impacts. Traditional methods combine expert intuition with Data-Driven Models (DDMs), relying on parametrization to predict and optimize hull
Externí odkaz:
https://doaj.org/article/04405607232a44288e378d40243ba492
Publikováno v:
HydroResearch, Vol 7, Iss , Pp 285-300 (2024)
The present study aims to thoroughly review GWL depletion monitoring studies completed between 2000 and 2023 based on data-driven models and GIS approaches from a global perspective. The review summarizes the details of the reviewed papers, including
Externí odkaz:
https://doaj.org/article/c10c567784cf44a3a15498c8b2481954
Autor:
Zhengheng Pu, Minghai Chen, Xuanting Ji, Yanfu Fu, Wenchong Tian, Lei Chen, Tao Tao, Kunlun Xin
Publikováno v:
Aqua, Vol 72, Iss 12, Pp 2277-2292 (2023)
Inappropriate scheduling plans can result in additional economic losses and the safety of water distribution network (WDN). Optimizing manual experience based scheduling plans can help water utilities rationally allocate water plants and pump station
Externí odkaz:
https://doaj.org/article/41add80234ad49bc8fc76d0cab2ae7fe