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Titlebook: Distributed Computing and Artificial Intelligence, Special Sessions III - Intelligent Systems Applic; Francisco Zayas-Gato,Antonio Díaz-Lo

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發(fā)表于 2025-3-23 13:42:13 | 只看該作者
Lecture Notes in Networks and Systemshttp://image.papertrans.cn/e/image/284804.jpg
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發(fā)表于 2025-3-23 14:50:57 | 只看該作者
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發(fā)表于 2025-3-23 20:25:50 | 只看該作者
https://doi.org/10.1007/978-3-031-73910-1Intelligent Computing; Distributed Computing; Computational Intelligence; Artificial Intelligence; DCAI2
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發(fā)表于 2025-3-24 00:26:46 | 只看該作者
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發(fā)表于 2025-3-24 04:28:39 | 只看該作者
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發(fā)表于 2025-3-24 09:34:18 | 只看該作者
e applying four machine learning techniques. The implemented virtual sensor accurately estimated the wind speed at 10?m, an interesting tool to eliminate the physical sensor’s buy, installation, and maintenance.
17#
發(fā)表于 2025-3-24 14:22:04 | 只看該作者
2367-3370 Conference on Distributed Computing and Artificial Intellige.This volume of LNNS contains accepted papers presented at DCAI conference in the Special Session on Intelligent Systems Applications (ISA), Salamanca (Spain), June 2024. ISA is a major forum for presentation of development and applications
18#
發(fā)表于 2025-3-24 16:42:50 | 只看該作者
pecifically, three different techniques have been considered in this research work: Multilayer Perceptrons, Long Short Term Memory networks and Convolutional Neural Networks. Satisfactory results have been obtained in all cases for predicting the temperature 24?h in advance, implementing an useful tool for enhance energy management.
19#
發(fā)表于 2025-3-24 20:50:25 | 只看該作者
K-fold cross-validation is implemented within this framework. This comprehensive approach contributes to the advancement of water quality assessment methodologies, with potential implications for improving the efficiency and reliability of potability water classification models.
20#
發(fā)表于 2025-3-25 02:32:23 | 只看該作者
ges, to which preprocessing techniques have been applied to enhance their quality and the legibility of the text contained within. The implementation of these models produced successful results, presenting a viable solution to improve the efficiency and accessibility of information retrieval processes within the industry.
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