IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges IOT, Data Science and Artificial Intelligence Technologies /

IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges IOT, Data Science and Artificial Intelligence Technologies /

Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Singh, Pradeep Kumar (Editor), Wierzchoń, Sławomir T. (Editor), Pawłowski, Wiesław (Editor), Kar, Arpan Kumar (Editor), Kumar, Yugal (Editor)
Summary:XI, 391 p. 128 illus., 106 illus. in color.
text
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2023.
Edition:1st ed. 2023.
Series:Studies in Computational Intelligence, 1104
Subjects:
Engineering > Data processing.
Cooperating objects (Computer systems).
Big data.
Computational intelligence.
Data Engineering.
Cyber-Physical Systems.
Big Data.
Computational Intelligence.
Online Access:https://doi.org/10.1007/978-3-031-35783-1
Format: Electronic Book
Table of Contents:
  • Hybrid Compression Technique with Region of Interest for Medical Images in Wireless Sensor Networks
  • Exploring IoT Applications in Industry 4.0 – Insights from Review of Literature
  • Clustering IoT data using Machine Learning Methods: A Survey
  • Towards the Improvement of Personalized Music Recommendation System using Deep Learning Techniques
  • The Significance of IoT and Deep Learning in Activity Recognition
  • Intelligent Monitoring of Disinfectants.

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