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

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Detalhes bibliográficos
Publicado no:	Algorithms vol. 18, no. 4 (2025), p. 182
Autor principal:	Myllis Georgios
Outros Autores:	Tsimpiris Alkiviadis, Aggelopoulos Stamatios, Vrana, Vasiliki G
Publicado em:	MDPI AG
Assuntos:	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
Acesso em linha:	Citation/Abstract Full Text + Graphics Full Text - PDF
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