Learning Techniques for the Internet of Things
Approved
Classifications
MinEdu publication type
D6 Edited professional book
Definition
Editorial work
Target group
Professional
Host publication type
Compilation
Publication channel information
ISBN (print)
978-3-031-50513-3
ISBN (electronic)
978-3-031-50514-0
Publisher
Springer
Internationality
Yes
Detailed publication information
Publication year
2024
Reporting year
2024
Page numbers
1-322
DOI
10.1007/978-3-031-50514-0
Language of publication
English
Co-publication information
International co-publication
Yes
Co-publication with a company
No
Availability
Link to online publication
Classification and additional information
MinEdu field of science classification
113 Computer and information sciences
Keywords
AI for Healthcare; AI for Industry; AI for IoT; AI for Transportation; Internet of Things; IoT Applications; Layers of IoT; Learning techniques
Funding information
Funding information in the publication
This book is supported by the Academy of Finland through the 6G Flagship program (Grant 318927); by the European Commission through the ECSEL JU FRACTAL project (Grant 877056), receiving support from the EU Horizon 2020 program and Spain, Italy, Austria, Germany, France, Finland, Switzerland; and finally, by Business Finland through the Neural pub/sub research project (diary number 8754/31/2022). We also thank Center for Ubiquitous Computing, University of Oulu, Oulu, Finland, for providing the necessary support to conduct this book. This book also received support from the European Commission through the TEADAL project (Grant 101070186), and AIoTwin (Grant 101079214), by EU Horizon 2020 program and partners from different countries like Spain, Italy, Greece, Germany, Israel, Portugal, Switzerland.
Source database ID
Scopus ID
2-s2.0-85206061189