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Carlo Ciaponi, Enrico Creaco, Armando Di Nardo, Michele Di Natale, Carlo Giudicianni, Dino Musmarra and Giovanni Francesco Santonastaso
This paper proposes a combined management strategy for monitoring water distribution networks (WDNs). This strategy is based on the application of water network partitioning (WNP) for the creation of district metered areas (DMAs) and on the installation ...
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Francis Armando Segovia Chaves
Pág. 6 - 11
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Humberto Eliash
Pág. Pág. 158
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Armando Silva-Afonso and Carla Pimentel-Rodrigues
The objective of this article is to deepen knowledge about the existing connections, at the level of urban environments, between energy, water, and nutrients (or food). Energy and basic resources?water and food?are closely interconnected, which is why th...
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T. Espinoza-Fraire, Armando Saenz, Isaac Gandarilla and Wojciech Giernacki
This work applies an adaptive PD controller based on MRAS (Model Reference Adaptive System) using Lyapunov theory with sliding mode theory to a Fixed-wing MAV (Mini Aerial Vehicle). The objective is to design different adjustment mechanisms to obtain a r...
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Cosmo Capodiferro, Massimo De Maria, Mauro Mazzei, Matteo Spreafico, Oleg V. Bik, Armando L. Palma and Anna V. Solovyeva
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Helena M. Ramos, Modesto Pérez-Sánchez, Prajwal S. M. Guruprasad, Armando Carravetta, Alban Kuriqi, Oscar E. Coronado-Hernández, João F. P. Fernandes, Paulo J. Costa Branco and Petra Amparo López-Jiménez
The world?s water infrastructures suffer from inefficiencies, such as high energy consumption and water losses due to inadequate management practices and feeble pressure regulation, leading to frequent water and energy losses. This strains vital water an...
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Sofia Maria Muscarella, Vito Armando Laudicina, Luigi Badalucco, Pellegrino Conte and Giorgio Mannina
Resource recovery from wastewater is very important in view of a circular economy approach in the water field. Among the different technologies applied to realize circular economy, an attractive option is the use of nutrient-enriched media that can be ut...
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Ogbaje Andrew, Armando Apan, Dev Raj Paudyal and Kithsiri Perera
The accuracy of most SAR-based flood classification and segmentation derived from semi-automated algorithms is often limited due to complicated radar backscatter. However, deep learning techniques, now widely applied in image classifications, have demons...
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