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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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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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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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Jiayu Huang, Feng Diao, Shifeng Ding, Sen Han, Pentti Kujala and Li Zhou
In previous studies of ship?ice interactions, most studies focused on ship?level ice interactions, overlooking potential rafted ice conditions in extreme ice conditions. The purpose of this study is to develop a numerical model for predicting ship resist...
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Siyuan Chen, Zao Zhang, Cheng Wang, Lifeng Tan, Huanjie Liu, Hong Yuan, Rui Zhang and Rui Hu
Photovoltaic (PV) power generation is emerging as a key aspect of the global shift towards a more sustainable energy mix. Nevertheless, existing assessment models predominantly concentrate on predicting the overall capacity of PV power generation, often ...
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