ResearchTrend.AI
Tiny-HR: Towards an interpretable machine learning pipeline for heart rate estimation on edge devices

Tiny-HR: Towards an interpretable machine learning pipeline for heart rate estimation on edge devices

Preetam Anbukarasu
Shailesh Nanisetty
Ganesh Tata
Nilanjan Ray
ArXivPDFHTML

Papers citing "Tiny-HR: Towards an interpretable machine learning pipeline for heart rate estimation on edge devices"

3 / 3 papers shown
Title
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Lennart Heim
Andreas Biri
Zhongnan Qu
Lothar Thiele
46
30
0
21 Apr 2021
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
100
228
0
10 Mar 2020
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning
Tailai Wen
Roy Keyes
AI4TS
39
125
0
31 May 2019