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Titlebook: Advanced Intelligent Computing Technology and Applications; 19th International C De-Shuang Huang,Prashan Premaratne,Abir Hussain Conference

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樓主: cherub
41#
發(fā)表于 2025-3-28 14:45:08 | 只看該作者
42#
發(fā)表于 2025-3-28 20:20:04 | 只看該作者
43#
發(fā)表于 2025-3-29 00:06:24 | 只看該作者
44#
發(fā)表于 2025-3-29 06:31:46 | 只看該作者
Conference proceedings 2023proceedings of the 19th International Conference on Intelligent Computing, ICIC 2023, held in Zhengzhou, China, in August 2023..The 337 full papers of the three proceedings volumes were carefully reviewed and selected from 828 submissions..This year, the conference concentrated mainly on the theorie
45#
發(fā)表于 2025-3-29 10:04:39 | 只看該作者
Neferti X. M. Tadiar,Angela Y. Davis moving window of time. Our approach is found superior in terms of effectiveness than the other solutions provided in the literature when applied to data streams from the Numenta Anomaly Benchmark repository.
46#
發(fā)表于 2025-3-29 14:10:44 | 只看該作者
Conference proceedings 2023ions. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology..
47#
發(fā)表于 2025-3-29 19:14:22 | 只看該作者
0302-9743 h applications. Therefore, the theme for this conference was "Advanced Intelligent Computing Technology and Applications". Papers that focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology..978-981-99-4751-5978-981-99-4752-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
48#
發(fā)表于 2025-3-29 21:45:04 | 只看該作者
Hyperbolic Geometry of Gyrovector Spaces,state on speed is fitted by a two-dimensional Gaussian distribution. Finally, the thresholds are generated according to the properties of two-dimensional Gaussian distribution. The rationality of the traffic state thresholds is verified by experiments. Also, the traffic state identification accuracy
49#
發(fā)表于 2025-3-30 00:46:05 | 只看該作者
https://doi.org/10.1007/0-306-47134-5adopting Cauchy loss to build objective function for achieving strong robustness and high prediction accuracy, b) applying an alternating direction method of multi-pliers (ADMM) principle to design parameters learning scheme for obtaining high computational efficiency. Experimental results on two ti
50#
發(fā)表于 2025-3-30 04:18:32 | 只看該作者
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