Self-supervised motor imagery EEG recognition model based on 1-D MTCNN-LSTM network
Journal of Neural EngineeringObjective. Aiming for the research on the brain–computer interface (BCI), it is crucial to design a MI-EEG recognition model, possessing a high classification accuracy and strong generalization ability, and not relying on a large number of labeled ...
Cunlin Hu, Ye Ye, Nenggang Xie
semanticscholar +1 more source
Smart Surveillance System Using RESNET-50 and MTCNN
International Journal for Research in Applied Science and Engineering TechnologyAbstract: In recent years, advances in computer vision and artificial intelligence have led to the development of sophisticated surveillance systems capable of tracking and identifying individuals in a variety of situations. This research presents a new intelligent surveillance system designed to track multiple people in a video and generate a ...
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AGE, ETHNICITY AND EMOTION RECOGNITION USING MTCNN
International Journal of Engineering Applied Sciences and Technology, 2020 Anuj Mishra +4 more
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A Face Image Encryption Scheme Based on Nonlinear Dynamics and RNA Cryptography
CryptographyWith the rapid development of big data and artificial intelligence, the problem of image privacy leakage has become increasingly prominent, especially for images containing sensitive information such as faces, which poses a higher security risk. In order
Xiyuan Cheng +4 more
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Robust Face Recognition Across Ages with MTCNN
Age-related variations in facial appearance pose a significant challenge to theaccuracy and reliability of traditional face recognition systems. For face recognition to be accurateand effective across a variety of age groups, a system that counteracts the effects of ageing on facialfeatures must be developed.
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A Transfer-Based Convolutional Neural Network Model with Multi-Signal Fusion and Hyperparameter Optimization for Pump Fault Diagnosis. [PDF]
Sensors (Basel), 2023 Zhang Z, Tang A, Zhang T.
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Study of MTCNN-based driver gaze information visualization
Journal of Digital Art Engineering and Multimedia, 2022 Hyung-Kyu Kim, Seung-Ki Ryu
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An Automatic Grading System for Neonatal Endotracheal Intubation with Multi-Task Convolutional Neural Network. [PDF]
IEEE EMBS Int Conf Biomed Health Inform, 2023 Meng Y, Hahn JK.
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Transfer learning based cascaded deep learning network and mask recognition for COVID-19. [PDF]
World Wide Web, 2023 Li F, Wang X, Sun Y, Li T, Ge J.
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Dual-Region Encryption Model Based on a 3D-MNFC Chaotic System and Logistic Map. [PDF]
Entropy (Basel)Li J +5 more
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