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Titlebook: Digital Technologies and Applications; Proceedings of ICDTA Saad Motahhir,Badre Bossoufi Conference proceedings 2023 The Editor(s) (if appl

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樓主: 天真無邪
21#
發(fā)表于 2025-3-25 03:21:31 | 只看該作者
The Generation of Power from a Solar System Using a Variable Step Size P&O (VSS P&O) and Comparing Isimulation results demonstrate the limitations and performance of each approach as well as the superiority of the Grey Wolf Optimizer (GWO) over the variable step P&O. The findings show that while the VSS P&O can more precisely discover the global optimum, the GWO has greater search capability and converge speed.
22#
發(fā)表于 2025-3-25 10:15:41 | 只看該作者
23#
發(fā)表于 2025-3-25 14:40:42 | 只看該作者
24#
發(fā)表于 2025-3-25 19:31:23 | 只看該作者
Selected Areas in Cryptography – SAC 2016simulation results demonstrate the limitations and performance of each approach as well as the superiority of the Grey Wolf Optimizer (GWO) over the variable step P&O. The findings show that while the VSS P&O can more precisely discover the global optimum, the GWO has greater search capability and converge speed.
25#
發(fā)表于 2025-3-25 21:23:26 | 只看該作者
26#
發(fā)表于 2025-3-26 00:51:06 | 只看該作者
27#
發(fā)表于 2025-3-26 08:02:13 | 只看該作者
Lecture Notes in Computer Scienceimportant business decisions?” The paper talks about the benefits of adding machine learning and deep learning techniques in BI tools by showing experimental results. This paper also conducts a survey of six different industries and their IT managers on the effective use of BI tools for a successful business.
28#
發(fā)表于 2025-3-26 12:01:22 | 只看該作者
Markku-Juhani O. Saarinen,Mélissa Rossies and needs. This architecture allows detecting the developmental and mental health disorder, aiding and guiding patients in controlling their conditions and developing their conversational skills in order to better integrate them into society.
29#
發(fā)表于 2025-3-26 16:12:16 | 只看該作者
30#
發(fā)表于 2025-3-26 20:13:45 | 只看該作者
Bixin Jiang,Yongwei Huang,Baojian Genquirements of the Moroccan Thermal Regulation for Buildings (RTCM). The second approach is based on the use of two machine learning models, and the results show that the SVM is more efficient than the RF model. It achieved a coefficient of determination of 97%.
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