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Exploring Quantitative Assessment of Cybersickness in Virtual Reality Using EEG Signals and a CNN-LSTM Network.

, , , , and . VR Workshops, page 827-828. IEEE, (2023)

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A multi-scale residual encoding network for concrete crack segmentation., , , , , , and . J. Intell. Fuzzy Syst., 46 (1): 1379-1392 (January 2024)Exploring quantitative assessment of cybersickness in virtual reality using EEG signals and a CNN-ECA-LSTM network., , , , , and . Displays, (January 2024)Irregular extended target tracking with unknown measurement noise covariance., , , , , and . Signal Process., (2024)MGPLI: exploring multigranular representations for protein-ligand interaction prediction., , , , , , and . Bioinform., 38 (21): 4859-4867 (October 2022)Exploring Quantitative Assessment of Cybersickness in Virtual Reality Using EEG Signals and a CNN-LSTM Network., , , , and . VR Workshops, page 827-828. IEEE, (2023)Augmented Labeled Random Finite Sets and Its Application to Group Target Tracking., , , , and . CoRR, (2024)SE-CNN Attention Structure for Quantitative EEG-Based Assessment of VR Motion Sickness., , , , , and . ICCAI, page 606-611. ACM, (2023)Brain Controlled Manipulator System Based on Improved Target Detection and Augmented Reality Technology., , , , , and . HBAI@IJCAI, volume 1692 of Communications in Computer and Information Science, page 172-182. Springer, (2022)