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Titlebook: Computational Statistics and Mathematical Modeling Methods in Intelligent Systems; Proceedings of 3rd C Radek Silhavy,Petr Silhavy,Zdenka P

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樓主: DUBIT
11#
發(fā)表于 2025-3-23 13:31:31 | 只看該作者
Editorial: Sustainable Supply Chains, patient’s pulse regularly. Therefore, a real-time heart rate and rhythm monitoring device are presented in this paper. Experimental results show that the proposed device has achieved satisfactory performance in terms of user acceptance testing.
12#
發(fā)表于 2025-3-23 17:41:40 | 只看該作者
Manpreet K. Dhillon,Yongmei Bentleynents, cerebral cortex, and thalamus. Network-oriented modeling via temporal-causal network-oriented modeling is presented to show the influences of using psilocybin on the cognitive part of the body, same as the brain components. Hebbian learning used to show the adaptivity and learning section of the presented model.
13#
發(fā)表于 2025-3-23 20:35:51 | 只看該作者
14#
發(fā)表于 2025-3-23 22:49:02 | 只看該作者
Ximin (Natalie) Huang,Atalay Atasubetter results than the standalone approach and highlight some of the algorithms that are more suitable for each approach. The combination of the two notions could be another example of a successful approach for future research.
15#
發(fā)表于 2025-3-24 03:46:58 | 只看該作者
16#
發(fā)表于 2025-3-24 09:07:23 | 只看該作者
Ximin (Natalie) Huang,Atalay Atasu a simple and yet robust segmentation and classification process in multiple level which is further boosted by adopting Artificial Neural Network. The study outcome of the proposed system shows that it excels better accuracy in contrast to existing learning methods that are frequently used by researchers.
17#
發(fā)表于 2025-3-24 10:42:33 | 只看該作者
Ioannis Bellos,Hang Ren,Mark Fergusone sets of the illustrative ellipsoidal polynomial family with multilinear uncertainty structure are plotted and analyzed. It is shown that the boundaries of the value set need not to mapped only from the boundaries in the parameter space but possibly also from the internal points.
18#
發(fā)表于 2025-3-24 15:17:28 | 只看該作者
19#
發(fā)表于 2025-3-24 20:49:30 | 只看該作者
The Distributed Ledger-Based Technique of the Neuronet Training Set Forming, is based on the principals of the distributed ledger technology. While there is a possibility to decrease the labeling errors number, the services integration on the basis of distributed ledger allows to improve the efficiency of dataset forming.
20#
發(fā)表于 2025-3-25 00:41:37 | 只看該作者
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