Zobrazeno 1 - 10
of 302
pro vyhledávání: '"graph convolution neural network"'
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract One of the most common causes of death worldwide is heart disease, including arrhythmia. Today, sciences such as artificial intelligence and medical statistics are looking for methods and models for correct and automatic diagnosis of cardiac
Externí odkaz:
https://doaj.org/article/fef3bd21419f456e999d800d7cf227cc
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 1164-1176 (2024)
Visual discomfort significantly limits the broader application of stereoscopic display technology. Hence, the accurate assessment of stereoscopic visual discomfort is a crucial topic in this field. Electroencephalography (EEG) data, which can reflect
Externí odkaz:
https://doaj.org/article/1c4d2820702e4bb996881f34fabc967c
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 12, Pp 3039-3051 (2023)
Dynamic multiscale graph neural networks have high motion prediction errors due to the low correlation between the internal joints of body parts and the limited perceptual fields. A multiscale global adaptive attention graph neural network for human
Externí odkaz:
https://doaj.org/article/4832fd8d850748aa845c114935692425
Publikováno v:
网络与信息安全学报, Vol 9, Iss 4, Pp 40-52 (2023)
Threat analysis relies on knowledge bases that contain a large number of security entities.The scope and impact of security threats and risks are evaluated by modeling threat sources, attack capabilities, attack motivations, and threat paths, taking
Externí odkaz:
https://doaj.org/article/5e79305ef9b84602895be80c89649c5e
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2279 (2024)
With the development of online interactive media platforms, a large amount of short text has appeared on the internet. Determining how to classify these short texts efficiently and accurately is of great significance. Graph neural networks can captur
Externí odkaz:
https://doaj.org/article/fee6d952a3ab46368a36e794cc8b26e2
Publikováno v:
Frontiers in Computational Neuroscience, Vol 17 (2023)
An electroencephalogram (EEG) functional connectivity (FC) network is individualized and plays a significant role in EEG-based person identification. Traditional FC networks are constructed by statistical dependence and correlation between EEG channe
Externí odkaz:
https://doaj.org/article/421f2de5796246aba85fd991f36d481f
Publikováno v:
Ecological Indicators, Vol 154, Iss , Pp 110782- (2023)
Water quality prediction is important for maintaining water stability and control in marine environments. However, water quality parameters are affected by complex environmental factors.Marine time series data exhibit distribution shift and nonstatio
Externí odkaz:
https://doaj.org/article/1748bbb0b0634c7895733f9c182f5240
Publikováno v:
IEEE Access, Vol 11, Pp 73568-73582 (2023)
Compared to single-omics data, utilizing multi-omics data helps to gain a more comprehensive understanding of the occurrence and development of cancer, which emphasizes the necessity of developing efficient multi-omics data fusion approaches. In this
Externí odkaz:
https://doaj.org/article/ce0a9e4973ab492aa1408e08ac9c9af5
Autor:
Hua Ma, Lingnan Xia
Publikováno v:
IEEE Access, Vol 11, Pp 67191-67200 (2023)
Atrial fibrillation (AF) is a common type of arrhythmia with a high incidence and risk, and it is difficult to monitor. Deep learning-based algorithms for AF detection have made preliminary progress, with Recurrent Convolution Neural Networks (RCNN)
Externí odkaz:
https://doaj.org/article/a3aa4089213c4af98913f2c16a345dd7
Autor:
Yun Liang, Qing Zhao, Zhenhong Hu, Ke Bo, Sreenivasan Meyyappan, John K. Neubert, Mingzhou Ding
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
Trigeminal neuralgia (TN) is a severe and disabling facial pain condition and is characterized by intermittent, severe, electric shock-like pain in one (or more) trigeminal subdivisions. This pain can be triggered by an innocuous stimulus or can be s
Externí odkaz:
https://doaj.org/article/488bfbdddd48421e95be81b098ba664a