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Jiaxing Xu, Hongxiang Fan, Minghan Luo, Piji Li, Taeseop Jeong and Ligang Xu
Water level is an important indicator of lake hydrology characteristics, and its fluctuation significantly affects lake ecosystems. In recent years, deep learning models have shown their superiority in the long-time range prediction of hydrology processe...
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Xin Zhang, Qiuwan Shen, Kuanyu Zhu, Gaokui Chen, Guogang Yang and Shian Li
CaO-based adsorbent cycling carbon capture technology is an effective way to reduce CO2 emissions from marine exhaust gases. Metal-modified CaO-based adsorbents represent one of the important ways to improve the cyclic CO2 capture capacity. In order to o...
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Souhail Maazioui, Imad Kissami, Fayssal Benkhaldoun and Driss Ouazar
In this paper, an innovative methodology to handle the numerical simulation of viscoplastic flows is proposed based on a multigrid initialization algorithm in conjunction with the SIMPLE procedure. The governing equations for incompressible flow, which c...
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Adrián ?perka, Juraj Camaj, Milan Dedík and Zdenka Bulková
Currently, it is necessary to support not only public passenger transport at the expense of individual car transport but also to ensure the modal split of goods from road transport to railway transport. Moreover, it is important to modernize the railway ...
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Xinze Yang, Chunkai Zhang, Yizhi Sun, Kairui Pang, Luru Jing, Shiyun Wa and Chunli Lv
This research primarily explores the application of Natural Language Processing (NLP) technology in precision financial fraud detection, with a particular focus on the implementation and optimization of the FinChain-BERT model. Firstly, the FinChain-BERT...
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