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Computing, Internet of Things and Data Analytics : Selected papers from the International Conference on Computing, IoT and Data Analytics (ICCIDA) / edited by Fausto Pedro Garc�ia M�arquez, Akhtar Jamil, Isaac Segovia Ramirez, S�uleyman Eken, Alaa Ali Hameed

Series: (Studies in Computational Intelligence, 1860-9503; 1145).Publisher: Cham : Springer International Publishing, 2024Edition: 1st ed. 2024.Description: 1 recurso en li��nea.ISBN: 9783031537172.Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Exploratory Data Analysis -- Pattern Recognition and Image Analysis -- Medical Image Processing -- Artificial Intelligence and Applications -- Machine Learning & Deep Learning.
Summary: This book covers selected papers presented at the 2nd International Conference on Computing, IoT and Data Analytics (ICCIDA) in 2022 organized by Universidad de Castilla - La Mancha, Spain, August 11-12, 2023. It highlights some of the latest research advances and cutting-edge analyses of real-world problems related to Computing, IoT and Data Analytics and their applications in various domains. This includes state of the art models and methods used on benchmark datasets.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería Q325.5-.7 2024 EB (Browse shelf(Opens below)) Acceso electrónico ebook10042476
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Exploratory Data Analysis -- Pattern Recognition and Image Analysis -- Medical Image Processing -- Artificial Intelligence and Applications -- Machine Learning & Deep Learning.

This book covers selected papers presented at the 2nd International Conference on Computing, IoT and Data Analytics (ICCIDA) in 2022 organized by Universidad de Castilla - La Mancha, Spain, August 11-12, 2023. It highlights some of the latest research advances and cutting-edge analyses of real-world problems related to Computing, IoT and Data Analytics and their applications in various domains. This includes state of the art models and methods used on benchmark datasets.

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