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

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Detalles Bibliográficos
Publicado en:	Algorithms vol. 18, no. 4 (2025), p. 182
Autor Principal:	Myllis Georgios
Outros autores:	Tsimpiris Alkiviadis, Aggelopoulos Stamatios, Vrana, Vasiliki G
Publicado:	MDPI AG
Materias:	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
Acceso en liña:	Citation/Abstract Full Text + Graphics Full Text - PDF
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