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Titlebook: Machine Learning for Cyber Security; 4th International Co Yuan Xu,Hongyang Yan,Jin Li Conference proceedings 2023 The Editor(s) (if applica

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樓主: Taylor
51#
發(fā)表于 2025-3-30 11:19:11 | 只看該作者
52#
發(fā)表于 2025-3-30 13:30:01 | 只看該作者
Path Planning Algorithm Based on A_star Algorithm and Q-Learning Algorithm,search, the path planning problem has greater research and application value. Based on machine learning, the mobile robot is continuously tried and trained in the simulation environment to eventually achieve the optimal path planning requirements for real-time obstacle avoidance, resulting in a new
53#
發(fā)表于 2025-3-30 16:38:26 | 只看該作者
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發(fā)表于 2025-3-30 21:59:41 | 只看該作者
Local Feature Acquisition Method of Multi-layer Vision Network Image Based on Virtual Reality,various changes such as noise, illumination, scale, and rotation. Faced with this situation, this paper proposes a method for local feature acquisition of multi-layer visual network images based on virtual reality. Based on virtual reality technology, the multi-layer visual network image is reconstr
55#
發(fā)表于 2025-3-31 04:56:46 | 只看該作者
Channel Selection for EEG Emotion Recognition via an Enhanced Firefly Algorithm with Brightness-Dise and other fields. EEG signal contains a large number of meaningful and extractable features. Therefore, effective feature selection plays an essential role in reducing feature dimensions and avoiding redundancy. In order to select the emotion related features from hundreds of features and achieve
56#
發(fā)表于 2025-3-31 05:42:25 | 只看該作者
57#
發(fā)表于 2025-3-31 11:28:58 | 只看該作者
,Trimodal Fusion Network Combined Global-Local Feature Extraction Strategy and?Spatial-Frequency Fustions, and lesions. Most of the existing methods focus on the fusion of two modalities, and in fact, it is very common for the disease that requires the fusion of trimodal to assist diagnosis. This paper proposes a high-precision trimodal medical image fusion network. According to the information ch
58#
發(fā)表于 2025-3-31 15:32:17 | 只看該作者
59#
發(fā)表于 2025-3-31 19:20:21 | 只看該作者
60#
發(fā)表于 2025-4-1 01:07:54 | 只看該作者
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