Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Tongguang Ni"'
Publikováno v:
IEEE Access, Vol 11, Pp 95928-95938 (2023)
Existing self-supervised sequential recommendations face the problem of noisy interactions and sparse sequence data, and train models based only on item prediction losses, so they usually fail to learn an appropriate sequential representation. In thi
Externí odkaz:
https://doaj.org/article/60a8fee252494562a478fa0ebc2ab3a3
Publikováno v:
Frontiers in Molecular Biosciences, Vol 9 (2022)
The accurate prediction of potential associations between microRNAs (miRNAs) and small molecule (SM) drugs can enhance our knowledge of how SM cures endogenous miRNA-related diseases. Given that traditional methods for predicting SM-miRNA association
Externí odkaz:
https://doaj.org/article/de71e6c3496b44198f2905a8d4a4f0c2
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
Electroencephalogram (EEG) signals are not easily camouflaged, portable, and noninvasive. It is widely used in emotion recognition. However, due to the existence of individual differences, there will be certain differences in the data distribution of
Externí odkaz:
https://doaj.org/article/d841f8b7480e4ddb9631a68325d5c311
Publikováno v:
Frontiers in Aging Neuroscience, Vol 14 (2022)
Affective computing is concerned with simulating people’s psychological cognitive processes, of which emotion classification is an important part. Electroencephalogram (EEG), as an electrophysiological indicator capable of recording brain activity,
Externí odkaz:
https://doaj.org/article/eb999be860c54e39b28bb66e873523e6
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2022)
Magnetic resonance imaging (MRI) can have a good diagnostic function for important organs and parts of the body. MRI technology has become a common and important disease detection technology. At the same time, medical imaging data is increasing at an
Externí odkaz:
https://doaj.org/article/9dc94a5df19a47bab028964f4d43597f
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
The brain-computer interface (BCI) interprets the physiological information of the human brain in the process of consciousness activity. It builds a direct information transmission channel between the brain and the outside world. As the most common n
Externí odkaz:
https://doaj.org/article/eb2e2ff8983445f69a403cee5b87891d
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Brain tumor image classification is an important part of medical image processing. It assists doctors to make accurate diagnosis and treatment plans. Magnetic resonance (MR) imaging is one of the main imaging tools to study brain tissue. In this arti
Externí odkaz:
https://doaj.org/article/132edb2bcfe44670af77d090af6660c9
Publikováno v:
CMES-Computer Modeling in Engineering & Sciences; 2023, Vol. 137 Issue 3, p2267-2283, 17p
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Background: The brain magnetic resonance imaging (MRI) image segmentation method mainly refers to the division of brain tissue, which can be divided into tissue parts such as white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF). The seg
Externí odkaz:
https://doaj.org/article/98609f1b23bb4046abef37602f28b325
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
Metric learning is a class of efficient algorithms for EEG signal classification problem. Usually, metric learning method deals with EEG signals in the single view space. To exploit the diversity and complementariness of different feature representat
Externí odkaz:
https://doaj.org/article/4435923cd71d4494a8a91c0f0bd2af3a