Titlebook: Algorithms and Architectures for Parallel Processing; 23rd International C Zahir Tari,Keqiu Li,Hongyi Wu Conference proceedings 2024 The Ed

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,R?ntgenbefunde bei Lungenerkrankungen,ng it applicable for tasks such as drone control and gaming. Gesture recognition using an inertial measurement unit (IMU) has emerged as a major trend in this field. However, due to the intricate nature of the arm structure and the diversity of gestures, relying on a single IMU system for gesture re

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https://doi.org/10.1007/978-3-663-13595-1al intricacy limit the practical implementation of CNNs, particularly on resource- starved devices. This paper presents a compression technique based on graph structure learning (GSL) for CNNs. This method aims to capture the correlations among parameters in each neural network layer and compress th

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https://doi.org/10.1007/978-3-531-90985-1icles. In view of the risks and challenges, this paper proposed a hybrid Meta-Learning based intrusion detection method, which core task is to distinguish normal and network flow samples as its learning task. By constructing a feature extraction network based on 3D-CNN, the characteristic values of

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