Zobrazeno 1 - 10
of 2 816
pro vyhledávání: '"Group level"'
Publikováno v:
Frontiers in Endocrinology, Vol 15 (2024)
The increasing prevalence of Diabetes Mellitus (DM) as a global health concern highlights the paramount importance of accurately predicting its progression. This necessity has propelled the use of deep learning’s advanced analytical and predictive
Externí odkaz:
https://doaj.org/article/2b1be87975354b7793a9bec7d0ca266f
Publikováno v:
IEEE Access, Vol 12, Pp 35957-35971 (2024)
This paper presents a robust subject-wise sequential dictionary learning (swsDL) algorithm named rswsDL for functional magnetic resonance imaging (fMRI) data where the negative impact of dimensionality reduction in the form of information loss and se
Externí odkaz:
https://doaj.org/article/b708846ad84f4e5eb61ba56693f173d9
Autor:
Alexios Kouzalis
Publikováno v:
RUDN Journal of Psychology and Pedagogics, Vol 20, Iss 3, Pp 578-587 (2023)
Self-evaluation, or self-rating, is the process by which people evaluate themselves with the purpose of improving several aspects of their personalities or skills and it is closely related to the cognitive function of metacognition. The purpose of th
Externí odkaz:
https://doaj.org/article/b79da367b05949c3a41d6b9782a05a6b
Publikováno v:
Frontiers in Human Neuroscience, Vol 18 (2024)
The ability to stimulate deep brain regions in a focal manner brings new opportunities for treating brain disorders. Temporal interference (TI) stimulation has been suggested as a method to achieve focused stimulation in deep brain targets. Individua
Externí odkaz:
https://doaj.org/article/7043018000d844ff87825f12b53fb6a0
Autor:
Mhatre, Snehal G., Mehta, Nikhil K.
Publikováno v:
Management Research Review, 2023, Vol. 46, Issue 9, pp. 1185-1206.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/MRR-11-2021-0800
Autor:
Yu Yiqun
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Big data technology provides a detailed development of English language teaching, which is targeted through the assessment of cognitive level. In this paper, ConvSLSTM is used to describe the problem of learners’ knowledge level and build a cogniti
Externí odkaz:
https://doaj.org/article/44ca46081e0441ea88561b7e0bc397fd
Autor:
Xiaomei Ren, Bowen Dong, Ying Luan, Ye Wu, Yunzhi Huang, the Alzheimer's Disease Neuroimaging Initiative
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/b8f15cabafcc45649909b701b535a082
Publikováno v:
Cogent Education, Vol 10, Iss 1 (2023)
AbstractUnderstanding the role individual beliefs play when the group faces challenge is key in understanding the shared regulation processes and participation that lead to collaborative learning success. As of now, there is not much research focusin
Externí odkaz:
https://doaj.org/article/8f6dd44a855846938b720c4fd50264cd
Autor:
Xiaomei Ren, Bowen Dong, Ying Luan, Ye Wu, Yunzhi Huang, the Alzheimer's Disease Neuroimaging Initiative
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
Disruptions in the inter-regional connective correlation within the brain are believed to contribute to memory impairment. To detect these corresponding correlation networks in Alzheimer’s disease (AD), we conducted three types of inter-regional co
Externí odkaz:
https://doaj.org/article/c86a8b5b288647629f346c9deaf85ae0
Publikováno v:
IEEE Access, Vol 11, Pp 114992-115001 (2023)
Despite the excellent performance of deep learning models for decoding electroencephalography (EEG) signals, the lack of explainability hinders the implementation of deep learning techniques in neuroscience. Although recently developed solutions ensu
Externí odkaz:
https://doaj.org/article/909b15054e7a4d8e8bf362b2b59f1b78