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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...

Whakaahuatanga katoa

I tiakina i:
Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua: Hui Han, Silvana Trimi, Sang M. Lee
Hōputu: Artigo
Reo:Inglês
I whakaputaina: Elsevier 2026-03-01
Rangatū:Array
Ngā marau:
Urunga tuihono:http://www.sciencedirect.com/science/article/pii/S2590005625003017
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