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Jing Liu, Xuesong Hai and Keqin Li
Massive amounts of data drive the performance of deep learning models, but in practice, data resources are often highly dispersed and bound by data privacy and security concerns, making it difficult for multiple data sources to share their local data dir...
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Yangxin Zhang, Jiangmei Zhang, Tuantuan Liu, Xinghua Feng, Tengxiang Xie and Haolin Liu
Many nuclear power plants have been built along China?s coasts, and the migration and diffusion of radioactive nuclides in coastal harbours is very concerning. In this study, considering the decay and free diffusion of radioactive nuclides, a local hydro...
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Alfonso Arrieta-Pastrana, Oscar E. Coronado-Hernández and Vicente S. Fuertes-Miquel
Tidal inlet structures are engineering projects with associated benefits related to flood control, water quality enhancement, and coastal protection. This study analyzes the performance of hydraulic gates on a stabilized inlet in estuarine systems by dev...
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Zhigang Ren, Shize Yang, Jiaji Zhang, Qiankun Wang, Shuqiang Gui, Junli Zhou, Yuyang Tang, Ke Zhu, Chuxiong Shen, Zhihua Xiong, Jinlong Sun, Xinpeng Qiu and Zhuo Chen
The discharge of warm water from water source heat pump (WSHP) energy stations can cause local changes in the water temperature, leading to changes in the water quality around and downstream of the discharge outlet, resulting in a cumulative effect that ...
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Roman Rybka, Yury Davydov, Danila Vlasov, Alexey Serenko, Alexander Sboev and Vyacheslav Ilyin
Developing a spiking neural network architecture that could prospectively be trained on energy-efficient neuromorphic hardware to solve various data analysis tasks requires satisfying the limitations of prospective analog or digital hardware, i.e., local...
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