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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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https://doi.org/10.1007/978-3-030-19258-7of smart buildings and socially resilient cities, in which building automation technologies are used to regulate and control energy generation, consumption, and storage, have been presented. As a contribution to a building’s efficiency enhancement, we built a strategy that will help regulators adopt
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Lecture Notes in Networks and Systemshttp://image.papertrans.cn/d/image/279749.jpg
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2367-3370 , renewable energy, mechatronics, digital healthcare. The respective papers encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.978-3-031-29856-1978-3-031-29857-8Series ISSN 2367-3370 Series E-ISSN 2367-3389
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Guangyu Ding,Xin’er Chen,Liang Zhangase of this model is based on artificial intelligence technology while respecting the pedagogical context. In order to measure the effectiveness of the proposed model, we set up a real experiment with learners.
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China Applied Jurisprudence Institute API) to achieve this goal of providing optimized routes and will end by proposing some perspectives that enhance the performance of the optimization tools. This new approach gives a good result when applied to the old city of Fez.
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Selected Essays on Economic Policydemonstrated the capability of the method developed to predict a new output database containing 116 values of the electrical power versus time with the absolute average relative deviation AARD = 1.022%, and root mean squared error (MSE) of 4.0577%.
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The Social Consequences of Inflation used for the ensemble prediction of classifiers, bagging, voting, and stacking. The study’s findings indicate that using the voting strategy in conjunction with the MLP, NB, KNN, DT, and SGD methods yields results with an overall accuracy of 92.5% higher than those obtained with the other methods described above.
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