High-Performance Computing and Parallel Algorithms for Urban Water Demand Forecasting

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Bibliografski detalji
Izdano u:	Algorithms vol. 18, no. 4 (2025), p. 182
Glavni autor:	Myllis Georgios
Daljnji autori:	Tsimpiris Alkiviadis, Aggelopoulos Stamatios, Vrana, Vasiliki G
Izdano:	MDPI AG
Teme:	Machine learning Forecasting techniques Accuracy Water demand Message passing Urban environments Water resources management Data processing Datasets Deep learning Forecasting Water management Water Algorithms Real time Distributed memory Water utilities High performance computing Efficiency Distributed processing
Online pristup:	Citation/Abstract Full Text + Graphics Full Text - PDF
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