Výsledky vyhledávání - "CNN"
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1Hlavní autor Chowdhury, Radia Rayan, Muhammad, Yar, Adeel, Usman“… This brain signal is obtained from electroencephalogram (EEG) signals. A significant obstacle to the development of BCIs based on EEG is the classification of subject-independent motor imagery data since EEG data are very individualized…”
Publikováno v Sensors (Basel, Switzerland) (01. 09. 2023)
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2“…•An efficient multi-scale CNN(MS-CNN) model has been proposed with intrinsic feature integration for motor imagery EEG subject classification in brain-machine interfaces…”
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3Hlavní autor Yildirim, Ozal, Talo, Muhammed, Ay, Betul, Baloglu, Ulas Baran, Aydin, Galip, Acharya, U. Rajendra“…In this study, a deep-transfer learning approach is proposed for the automated diagnosis of diabetes mellitus (DM), using heart rate (HR) signals obtained from…”
Publikováno v Computers in biology and medicine (01. 10. 2019)
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4Hlavní autor Ho, Thao Thi, Kim, Taewoo, Kim, Woo Jin, Lee, Chang Hyun, Chae, Kum Ju, Bak, So Hyeon, Kwon, Sung Ok, Jin, Gong Yong, Park, Eun-Kee, Choi, Sanghun“… (Emph%) with an image registration technique, being provided as input parameters of 3D convolutional neural network (CNN…”
Publikováno v Scientific reports (08. 01. 2021)
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5Publikováno v IEEE transactions on neural systems and rehabilitation engineering (2021)Journal Article
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6Hlavní autor Lin, Liqi, Li, Pengrui, Wang, Qinghua, Bai, Binnan, Cui, Ruifang, Yu, Zhenxia, Gao, Dongrui, Zhang, Yongqing“… need to be improved in identifying common brain patterns across different subjects. In this article, we propose a Spatiotemporal-Based Brain Pattern Recognition Network (BPR-STNet…”
Publikováno v Expert systems with applications (01. 03. 2024)
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9Hlavní autor Dong, Heyou, Chen, Dan, Zhang, Lei, Ke, Hengjin, Li, Xiaoli“… This is the case especially in the paradigms that sensitive to the individuality of subjects and the non-stationarity of cognitive dynamics, such as Autism Spectrum Disorder (ASD) evaluation…”
Publikováno v Neurocomputing (Amsterdam) (18. 08. 2021)
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10Hlavní autor Collazos-Huertas, Diego Fabian, Álvarez-Meza, Andrés Marino, Cárdenas-Peña, David Augusto, Castaño-Duque, Germán Albeiro, Castellanos-Domínguez, César Germán“…Motor Imagery (MI) refers to imagining the mental representation of motor movements without overt motor activity, enhancing physical action execution and…”
Publikováno v Sensors (Basel, Switzerland) (01. 03. 2023)
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11Hlavní autor Chen, Lezhi, Yu, Zhuliang, Yang, Jian“…The electroencephalography (EEG) signals are easily contaminated by various artifacts and noise, which induces a domain shift in each subject and significant pattern variability among different subjects…”
Publikováno v Frontiers in neurorobotics (03. 08. 2022)
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12Hlavní autor Ji, Zhouyu, Xu, Tao, Chen, Chuangquan, Yin, Haojun, Wan, Feng, Wang, Hongtao“… To address this issue, we propose a parameter-based transfer learning CNN (PTL-CNN) approach for the SSVEP-BCI system, which can automatically fuse and extract both inter- and intra-subject features in EEG signals…”
Publikováno v Biomedical signal processing and control (01. 05. 2025)
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14Hlavní autor Kuttala, Radhika, Subramanian, Ramanathan, Oruganti, Venkata Ramana Murthy“… The low, mid, and high-level features of a Convolutional Neural Network (CNN) are discriminative. A comprehensive feature representation can be obtained by fusing all three levels of CNN's features…”
Publikováno v IEEE access (01. 01. 2023)
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15Publikováno v IEEE transactions on circuits and systems. II, Express briefs (01. 12. 2022)Journal Article
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16Hlavní autor Dai, Guanghai, Zhou, Jun, Huang, Jiahui, Wang, Ning“…) have been proposed and have achieved relatively high classification accuracy. However, these methods use single convolution scale in the CNN, while the best convolution scale differs from subject to subject…”
Publikováno v Journal of neural engineering (06. 01. 2020)
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17Hlavní autor Dolzhikova, Irina, Abibullaev, Berdakh, Sameni, Reza, Zollanvari, Amin“… In this work, we propose and examine the utility of Multi-Subject Ensemble Convolutional Neural Network (MS-En-CNN…”
Publikováno v IEEE access (2022)
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18Publikováno v IEEE transactions on neural systems and rehabilitation engineering (01. 05. 2020)Journal Article
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19Hlavní autor Song, Ran, Zhang, Wei, Zhao, Yitian, Liu, Yonghuai“… belong to the same object class. To validate its effectiveness, we design a multi-view CNN instantiating it for salient view selection and interest point detection of 3D objects, which quintessentially cannot be handled…”
Publikováno v International journal of computer vision (01. 05. 2022)
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20“… Cross-subject validation is more difficult than subject-dependent validation due to the high variability between EEG recordings caused by domain shifts…”
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