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Computing, Internet of Things and Data Analytics [electronic resource] : Selected papers from the International Conference on Computing, IoT and Data Analytics (ICCIDA) / edited by Fausto Pedro García Márquez, Akhtar Jamil, Isaac Segovia Ramirez, Süleyman Eken, Alaa Ali Hameed.

Contributor(s): Material type: TextSeries: Studies in Computational Intelligence ; 1145Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XXI, 522 p. 208 illus., 157 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031537172
Subject(s):
Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleLOC classification:
  • Q325.5-.7
Online resources:
Contents:
Exploratory Data Analysis -- Pattern Recognition and Image Analysis -- Medical Image Processing -- Artificial Intelligence and Applications -- Machine Learning & Deep Learning.
In: Springer Nature eBookSummary: 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.
Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)
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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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