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Titlebook: Distributed Computing and Artificial Intelligence, Special Sessions II - Intelligent Systems Applica; Esteban Jove,Francisco Zayas-Gato,Jo

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書(shū)目名稱Distributed Computing and Artificial Intelligence, Special Sessions II - Intelligent Systems Applica
編輯Esteban Jove,Francisco Zayas-Gato,José Luis Calvo-
視頻videohttp://file.papertrans.cn/282/281816/281816.mp4
概述Highlights the latest research on distributed computing and artificial intelligence.Presents the outcomes of the special sessions Intelligent Systems Applications of the 20th DCAI.Written by respected
叢書(shū)名稱Lecture Notes in Networks and Systems
圖書(shū)封面Titlebook: Distributed Computing and Artificial Intelligence, Special Sessions II - Intelligent Systems Applica; Esteban Jove,Francisco Zayas-Gato,Jo
描述This book of LNNS contains accepted papers presented at DCAI conference in the Special Session on Intelligent Systems Applications (ISA), Guimar?es (Portugal), July 2023. ISA is a major forum for presentation of development and applications of innovative techniques in the fields of building management, assistive technologies, the applied engineering, and industry. The scientific committee of the ISA has selected 8 full papers for its publication. This year ISA Special Session has teamed up with “Logic Journal of the IGPL” (Oxford University Press) for one special issue including selected papers from ISA Special Session 2023. We would like to thank all the contributing authors, the members of the Program Committee, the Organizing Committee of the Universities of Minho, and Salamanca for their hard and highly valuable work, which has been essential for the success of ISA 2023..
出版日期Conference proceedings 2023
關(guān)鍵詞Intelligent Computing; Distributed Computing; Computational Intelligence; Artificial Intelligence; DCAI2
版次1
doihttps://doi.org/10.1007/978-3-031-38616-9
isbn_softcover978-3-031-38615-2
isbn_ebook978-3-031-38616-9Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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,Comparative Study of?Wastewater Treatment Plant Feature Selection for?COD Prediction, stage, a specific case of correlation between monitored variables is carried out. The main aim is to choose the right and enough variables to predict the chemical oxygen demand (COD) over a wastewater treatment plant. Firstly, four methods for feature selection are implemented with all the monitore
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,Impact of?Autoencoder Latent Space on?IoT CoAP Attack Categorization,nergy resources. These characteristics make IoT ecosystems prone to different cybersecurity problems that must be addressed. Model-based intrusion detection systems (IDS) are one the tools that are being researched and developed to help in the detection of anomalies in IoT networks..This study inves
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Transiting Exoplanet Detection Through 1D Convolutional Neural Networks,urves obtained from different surveys in order to detect transit-like signals using the transit method. This technique consists in detecting periodic dimmings in stellar light curves due to the presence of an orbiting exoplanet. We created a 1D Convolutional Neural Network model which was trained, v
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Distributed Computing and Artificial Intelligence, Special Sessions II - Intelligent Systems Applica978-3-031-38616-9Series ISSN 2367-3370 Series E-ISSN 2367-3389
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