Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm-Reference-Cited by-同舟云学术

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Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm

Published:2024-03-11 Issue: Volume: Page:160-165
ISSN:
Container-title:2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
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Author:

Huang Yiran¹,Zhou Yexu¹,Zhao Haibin¹,Riedel Till¹,Beigl Michael¹

Affiliation:

1. Karlsruhe Institute of Technology,Pervasive Computing Systems-TECO,Karlsruhe,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10502396/10502378/10503202.pdf?arnumber=10503202

Reference13 articles.

1. Evolving Neural Networks through Augmenting Topologies

2. Genetic Algorithm

3. TSFEL: Time Series Feature Extraction Library

4. Introducing a New Benchmarked Dataset for Activity Monitoring

5. OPF-AGA: Optimal Power Flow using Advance Genetic Algorithm

Cited by 1 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. A Survey on Wearable Human Activity Recognition: Innovative Pipeline Development for Enhanced Research and Practice;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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