Zobrazeno 1 - 10
of 1 333
pro vyhledávání: '"Channel network"'
Publikováno v:
Alexandria Engineering Journal, Vol 101, Iss , Pp 158-175 (2024)
Due to the complexity of open-channel networks in which a lengthy procedure is required to understand and analyze their behavior. This paper introduces a methodology for the skeletonization of complex tree-shaped open channel systems. The aim is to a
Externí odkaz:
https://doaj.org/article/a8cd78af0f964bae8f7bef560df3f49f
Autor:
Xinxin LI, Lingguo BU
Publikováno v:
Zhongguo yiliao qixie zazhi, Vol 48, Iss 2, Pp 132-137 (2024)
The study developed a memory task training system using functional near-infrared spectroscopy (fNIRS) and neurofeedback mechanisms, and acquired and analyzed subjects' EEG signals. The results showed that subjects participating in the neurofeedback t
Externí odkaz:
https://doaj.org/article/0eb1b91b5aa94a98b34b1f97d0509b6f
Publikováno v:
IEEE Access, Vol 12, Pp 156505-156524 (2024)
The financial landscape has undergone a profound shift due to the decentralisation and digitisation brought about by cryptocurrencies. As people begin to reevaluate traditional notions of monetary ownership, cryptocurrencies will be poised to play an
Externí odkaz:
https://doaj.org/article/35031d9772814b11a6fb5a40934316e9
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 49, Iss , Pp 101493- (2023)
Study Region: The Ganges-Brahmaputra-Meghna (GBM) delta in Bangladesh Study Focus: The flow distribution in a deltaic channel network is complicated by tidal wave propagation. We use a 2DH numerical model to investigate the variability of the tide-mo
Externí odkaz:
https://doaj.org/article/7d8e320a6f4542198277ff1f591a3d4c
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 5, Pp 8049-8067 (2023)
Abnormal gait recognition is important for detecting body part weakness and diagnosing diseases. The abnormal gait hides a considerable amount of information. In order to extract the fine, spatial feature information in the abnormal gait and reduce t
Externí odkaz:
https://doaj.org/article/9d1b532f1e694ef1b8349c7ec5c40a77
Autor:
Chun-Yao Lee, Guang-Lin Zhuo
Publikováno v:
IEEE Access, Vol 11, Pp 26953-26963 (2023)
To solve the problem of the low signal-to-noise ratio and fault features can only be extracted from a single scale of traditional convolutional neural network (CNN) in vibration-based bearing fault diagnosis, this paper proposes a new multi-scale res
Externí odkaz:
https://doaj.org/article/f3b407289f7d4747a006343f84364dc8
Autor:
Xiaofei Luo, Peng Li
Publikováno v:
IEEE Access, Vol 11, Pp 4194-4206 (2023)
Blockchain technology is widely applicable to modern payment systems but has inherent throughput limitations. Off-chain networks are proposed to solve scalability issues, which allows parties to efficiently perform micropayments without committing al
Externí odkaz:
https://doaj.org/article/f4c7fbcf2f094ceb9338126b9930c40a
Publikováno v:
Polymers, Vol 16, Iss 5, p 604 (2024)
Proton exchange membranes are an essential component of proton-exchange membrane fuel cells (PEMFC). Their performance is directly related to the development of ionic channel networks through hydration. Current sensing atomic force microscopy (CSAFM)
Externí odkaz:
https://doaj.org/article/0272c3002908423690b955d08b918f4c
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