Titlebook: Cognitive Systems and Information Processing; 7th International Co Fuchun Sun,Angelo Cangelosi,Bin Fang Conference proceedings 2023 The Edi

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https://doi.org/10.1007/978-3-030-05618-6 decreased significantly in the . band during seizures. And the coherence feature in the . band combined with the ResNet18-based seizure detection model achieved an accuracy of 91.86%. It is believed that changes in the . band can be considered as a biomarker of seizure cycle changes in EIEE syndrom

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Simulation-Based UMTS e-Learning Software,racy of CCA on activation detection. The proposed method obtained more accurate and robust results than conventional CCA and showed improved power in activation detection than pure data-driven methods.

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Lecture Notes in Computer Scienceons to normal distribution. BFAct is not only able to generalize on various neural network architectures but also compatible with various OOD score functions. Our main experiments are evaluated on a large-scale OOD Detection benchmark based on ImageNet-1k, which is closer to practical application sc

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Semantics in Data and Knowledge Basesimensional chaotic system regression, aircraft trajectory tracking, face and image recognition are conducted to show the effectiveness of IQ-ELM and IAQ-ELM. Comparisons to two popular quaternion RNNs, Schmidt NN (SNN) and random vector functional-link net (RVFL), are also provided to show the feasi

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Multi-modal Ankle Muscle Strength Training Based on Torque and Angle Sensors of ankle rehabilitation increasingly prominent. Muscle strength training is one of the main rehabilitation methods for the ankle joint complex (AJC). Based on the current incomplete development of muscle strength training modes for all forms of ankle movement, this study developed six muscle streng

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Joint Trajectory Generation of Obstacle Avoidance in Tight Space for Robot Manipulatorper proposes a joint trajectory generation method for obstacle avoidance. Besides of the end-effector, our work plans a collision free trajectory for each joint in the narrow space. Considering the complexity of obstacle distribution, the presented method combines Dynamic Movement Primitive (DMP) wi