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Tiny Machine Learning (TinyML): Research trends and future application opportunities

Tiny Machine Learning (TinyML) enables artificial intelligence on low-power edge devices, yet a quantitative understanding of TinyML research remains limited. This study addresses this gap through a comprehensive bibliometric analysis of 392 peer-reviewed publications (2020–2024) from the Web of Sci...

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Principais autores: Hui Han, Silvana Trimi, Sang M. Lee
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2026-03-01
Serier:Array
Fag:
Tiny machine learning
Bibliometric analysis
Web of science
Biblioshiny
VOSviewer
Edge computing
Online adgang:http://www.sciencedirect.com/science/article/pii/S2590005625003017
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