Machine Learning in Embedded Systems: Limitations, Solutions and Future Challenges
Author:
Affiliation:
1. International Hellenic University,MLV Research Group,Department of Computer Science,Kavala,Greece,65404
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10099037/10098906/10099348.pdf?arnumber=10099348
Reference22 articles.
1. IoT Platforms and Hardware Integrations for Industry 4.0 Applications
2. Optimizing Performance of L1 Cache Memory for Embedded Systems driven by Differential Evolution
3. Recurrent Neural Networks: An Embedded Computing Perspective
4. Trends of Modern Processors for AI Acceleration
5. Challenges to implement Machine Learning in Embedded Systems
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