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Tatiane Souza Rodrigues Pereira, Thiago Pires de Carvalho, Thiago Augusto Mendes, Guilherme da Cruz dos Reis and Klebber Teodomiro Martins Formiga
Flow is a crucial variable in water resources, although its determination is challenging. Rating curves are standard but have conceptual limitations, leading to significantly high uncertainties. Hydrodynamic models offer a more precise alternative, but t...
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María del Mar Navarro-Farfán, Liliana García-Romero, Marco Antonio Martínez-Cinco, Mario Alberto Hernández-Hernández and Sonia Tatiana Sánchez-Quispe
Groundwater models serve the function of predicting and analyzing aquifer behavior. They require input information, such as hydrogeological parameters like hydraulic conductivity and storage coefficient, which are used to calibrate the model, and element...
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Chen Zhang, Celimuge Wu, Min Lin, Yangfei Lin and William Liu
In the advanced 5G and beyond networks, multi-access edge computing (MEC) is increasingly recognized as a promising technology, offering the dual advantages of reducing energy utilization in cloud data centers while catering to the demands for reliabilit...
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Woo-Hyun Choi and Jung-Ho Lewe
This study proposes a deep learning model utilizing the BACnet (Building Automation and Control Network) protocol for the real-time detection of mechanical faults and security vulnerabilities in building automation systems. Integrating various machine le...
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Jian Wang, Ze Chen, Linghao Li, Chuan Wang, Kangle Teng, Qiang He, Jiren Zhou, Shanshan Li, Weidong Cao, Xiuli Wang and Hongliang Wang
Submersible tubular pumps are an ideal choice for pump stations that require high flow rates and low lift. These pumps combine the unique features of submersible motors with axial flow pump technology, making them highly efficient and cost-effective. The...
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