TinyML: Tools, applications, challenges, and future research directions
Approved
Classifications
MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal
Publication channel information
Title of journal/series
Multimedia tools and applications
ISSN (print)
1380-7501
ISSN (electronic)
1573-7721
ISSN (linking)
1380-7501
Publisher
Springer Science+Business Media
Publication forum ID
63619
Publication forum level
1
Internationality
Yes
Detailed publication information
Publication year
2024
Bibliographical publication year
2024
Reporting year
2024
Journal/series volume number
83
Journal/series issue number
10
Page numbers
29015-29045
DOI
10.1007/s11042-023-16740-9
Language of publication
English
Co-publication information
International co-publication
Yes
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
113 Computer and information sciences
Keywords
Edge computing; Embedded AI; IoT; TinyML
Funding information
Funding information in the publication
The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.
Source database ID
WoS ID
WOS:001062311100001
Scopus ID
2-s2.0-85164381650