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Titlebook: Cognitive Systems and Information Processing; 8th International Co Fuchun Sun,Qinghu Meng,Bin Fang Conference proceedings 2024 The Editor(s

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發(fā)表于 2025-3-28 16:20:15 | 只看該作者
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發(fā)表于 2025-3-28 23:01:22 | 只看該作者
Malka Rappaport,Beth Levin,Mary Laughrenlgorithm which combines quantum chaotic mapping and Lorenz hyper chaotic mapping. Firstly, the SHA-256 hash algorithm is used to generate the initial key, and the quantum chaotic sequence and Lorenz hyper chaotic sequence are generated iteratively. Then, the plaintext image matrix is decomposed by d
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發(fā)表于 2025-3-29 07:08:12 | 只看該作者
Cognitive Systems and Information Processing978-981-99-8018-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
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發(fā)表于 2025-3-29 09:15:15 | 只看該作者
https://doi.org/10.1007/978-981-99-8018-5artificial intelligence; robotics; sensors; machine learning; computer applications; mobile robotics; cogn
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發(fā)表于 2025-3-29 13:31:24 | 只看該作者
978-981-99-8017-8The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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發(fā)表于 2025-3-29 17:39:50 | 只看該作者
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發(fā)表于 2025-3-29 20:21:05 | 只看該作者
Broad Learning System Based on Fusion Features objects. Deep learning has been widely used in multimodal fusion domain, but how to reduce model parameters and training time while maintaining good performance is still an academic problem. To address these issues, we design a system capable of learning and fusing features from both modalities, th
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發(fā)表于 2025-3-30 03:57:20 | 只看該作者
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發(fā)表于 2025-3-30 06:44:38 | 只看該作者
Lidar-Inertial SLAM Method for Accurate and Robust Mapping on improving the processing of point cloud, while others aim to the optimization of the result deviation caused by errors. Meanwhile, in the fields of robotics and autonomous driving, multi-sensor fusion solutions based on IMUs are becoming the norm. This paper contributes to the optimization of ma
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