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pro vyhledávání: '"network identification"'
Akademický článek
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Publikováno v:
NeuroImage, Vol 270, Iss , Pp 119944- (2023)
The human brain is a complex network that exhibits dynamic fluctuations in activity across space and time. Depending on the analysis method, canonical brain networks identified from resting-state fMRI (rs-fMRI) are typically constrained to be either
Externí odkaz:
https://doaj.org/article/33371ababd674a9082a37e3ae8c00de0
Akademický článek
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Publikováno v:
Brain Sciences, Vol 13, Iss 9, p 1297 (2023)
We propose a novel algorithm called Unique Brain Network Identification Number (UBNIN) for encoding the brain networks of individual subjects. To realize this objective, we employed structural MRI on 180 Parkinson’s disease (PD) patients and 70 hea
Externí odkaz:
https://doaj.org/article/b7c1c7bbebb143e981ddf09e702ef574
Autor:
Enhai Cui, Luwen Zhang, Xin Pan, Qiang Zhang, Ling Zhang, Feifei Wu, Na Chen, Lu Lv, Wenyan Chen, Hong Chen, Aifu Lin, Feng Wang, Jinfeng Liang, Ruolang Pan
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
Acute lung injury (ALI) is significantly associated with morbidity and mortality in patients with critical diseases. In recent years, studies have identified that mesenchymal stem/stromal cells (MSCs) ameliorate ALI and pulmonary fibrosis. However, t
Externí odkaz:
https://doaj.org/article/1894413d8d6349ea8ebe694fc1033b98
Publikováno v:
Energies, Vol 16, Iss 15, p 5598 (2023)
The process of thermal control and regulation in buildings is considered complex. Its complexity lies in the various internal and external physical phenomena impacting its control, and also in the increasingly important requirements of occupant comfo
Externí odkaz:
https://doaj.org/article/cb91f9267a3f4c4b949747fe7967d17a
Publikováno v:
IET Computer Vision, Vol 14, Iss 7, Pp 538-545 (2020)
Conventional AlexNet has the problems of slow training speed, single characteristic scale and low recognition accuracy. To solve these problems, a convolutional neural network identification model based on Inception module and dilated convolution is
Externí odkaz:
https://doaj.org/article/92155b4c3bdd439789a459d4a5c395c1
Akademický článek
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Autor:
Zhuanglin Mei, Toshiki Oguchi
Publikováno v:
Mathematics, Vol 11, Iss 1, p 89 (2022)
This paper considers the identification problem of network structures of interconnected dynamical systems using measured output data. In particular, we propose an identification method based on the measured output data of each node in the network who
Externí odkaz:
https://doaj.org/article/29b74104dc5d4f5f8642e2d082ddc717
Publikováno v:
Advancements in Agricultural Development, Vol 2, Iss 1 (2021)
The purpose of this study was to systematically identify “key players” and media channels within the turf industry to constitute the diffusion of innovations in emerging turf research and technologies. Online survey questions were structured usin
Externí odkaz:
https://doaj.org/article/591674af9d544754bd0beaced99953cf