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Titlebook: Advances in Intelligent Systems and Interactive Applications; Proceedings of the 2 Fatos Xhafa,Srikanta Patnaik,Albert Y. Zomaya Conference

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21#
發(fā)表于 2025-3-25 06:32:12 | 只看該作者
Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/a/image/148554.jpg
22#
發(fā)表于 2025-3-25 07:39:41 | 只看該作者
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發(fā)表于 2025-3-25 14:32:06 | 只看該作者
978-3-319-69095-7Springer International Publishing AG 2018
24#
發(fā)表于 2025-3-25 16:10:22 | 只看該作者
2194-5357 ence on Intelligent and Interactive Systems and Applications.This book presents research papers from diverse areas on novel Intelligent Systems and Interactive Systems and Applications. It gathers selected research papers presented at the 2nd International Conference on Intelligent and Interactive S
25#
發(fā)表于 2025-3-25 20:44:18 | 只看該作者
26#
發(fā)表于 2025-3-26 01:37:05 | 只看該作者
Change of Atmospheric Circulatione the above problems, combing efficient distributed programming and running frame provided by MapReduce model and image pyramid algorithm, proposing and realizing a distributed model for massive image data. Experiment expresses that this model is good performance in massive image’s browsing and rooming.
27#
發(fā)表于 2025-3-26 06:19:27 | 只看該作者
https://doi.org/10.1007/978-3-031-49329-4y cross-validation. The experimental result has showed that, the RVM method has better classification effect, along with fewer parameter settings and fewer kernel functions than that of support vector machine (SVM). It can perform a satisfying result under the poor condition of the ECG signal.
28#
發(fā)表于 2025-3-26 08:31:56 | 只看該作者
SpringerBriefs in Climate Studiesnd compare with the modified calculated value of rolling force, which got from the self-learning model of rolling force. The results show that the thickness can be predicted more rapidly and exactly, which can meet the actual demand of production, when this model and the rolling force learning model are integrated.
29#
發(fā)表于 2025-3-26 15:11:56 | 只看該作者
30#
發(fā)表于 2025-3-26 17:21:03 | 只看該作者
Sara Hughes,Eric K. Chu,Susan G. Masonstrate the efficiency of the proposed algorithm and its computational accuracy by comparing with the exact solution strategy proposed in our previous study. The experimental results indicate that the Tabu Search algorithm can obtain the optimal solutions to the double-stack car loading problem more efficiently.
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