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Software Engineering Approaches for TinyML based IoT Embedded Vision: A
  Systematic Literature Review

Software Engineering Approaches for TinyML based IoT Embedded Vision: A Systematic Literature Review

19 April 2022
Shashank Bangalore Lakshman
Nasir U. Eisty
ArXivPDFHTML

Papers citing "Software Engineering Approaches for TinyML based IoT Embedded Vision: A Systematic Literature Review"

5 / 5 papers shown
Title
A Machine Learning-oriented Survey on Tiny Machine Learning
A Machine Learning-oriented Survey on Tiny Machine Learning
Luigi Capogrosso
Federico Cunico
D. Cheng
Franco Fummi
Marco Cristani
SyDa
MU
32
33
0
21 Sep 2023
PhiNets: a scalable backbone for low-power AI at the edge
PhiNets: a scalable backbone for low-power AI at the edge
Francesco Paissan
Alberto Ancilotto
Elisabetta Farella
34
32
0
01 Oct 2021
Robust Machine Learning Systems: Challenges, Current Trends,
  Perspectives, and the Road Ahead
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
Muhammad Shafique
Mahum Naseer
T. Theocharides
C. Kyrkou
O. Mutlu
Lois Orosa
Jungwook Choi
OOD
81
100
0
04 Jan 2021
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
R. David
Jared Duke
Advait Jain
Vijay Janapa Reddi
Nat Jeffries
...
Meghna Natraj
Shlomi Regev
Rocky Rhodes
Tiezhen Wang
Pete Warden
119
466
0
17 Oct 2020
Benchmarking TinyML Systems: Challenges and Direction
Benchmarking TinyML Systems: Challenges and Direction
Colby R. Banbury
Vijay Janapa Reddi
Max Lam
William Fu
A. Fazel
...
Jae-sun Seo
Jeff Sieracki
Urmish Thakker
Marian Verhelst
Poonam Yadav
109
228
0
10 Mar 2020
1