A data-stream TinyML compression algorithm for vehicular applications: a case study-Reference-Cited by-同舟云学术

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A data-stream TinyML compression algorithm for vehicular applications: a case study

Published:2022-06-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)
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Author:

Silva Marianne¹,Signoretti Gabriel¹,Flores Thommas¹,Andrade Pedro¹,Silva Jordao¹,Silva Ivanovitch¹,Sisinni Emiliano²,Ferrari Paolo²

Affiliation:

1. Postgraduate Program in Electrical and Computer Engineering (PPgEEC)

2. University of Brescia,Brescia,Italy

Funder

National Council for Scientific and Technological Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9831192/9831456/09831606.pdf?arnumber=9831606

Reference22 articles.

1. Performance Evaluation of an Edge OBD-II Device for Industry 4.0

2. Benchmarking distributed stream pro-cessing platforms for iot applications;shukla;Technology Conference on Performance Evaluation and Benchmarking,2016

3. An energy efficient IoT data compression approach for edge machine learning

4. An Evolving TinyML Compression Algorithm for IoT Environments Based on Data Eccentricity

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. TAC: A Python package for IoT-focused Tiny Anomaly Compression;SoftwareX;2024-05

2. TinyML Algorithms for Big Data Management in Large-Scale IoT Systems;Future Internet;2024-01-25

3. A Framework for Efficient Communication in IoT Applications in the Automotive Industry with OBD-II Edge;2023 Symposium on Internet of Things (SIoT);2023-10-25

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