Implementation and Performance Evaluation of Convolutional Neural Network models for Low-Power Microcontrollers with Constrained Resources

Author:

Krivokapic Bogdan1,Tomovic Slavica1,Radusinovic Igor1,Jovanovic Ana1

Affiliation:

1. University of Montenegro, Dzordza Vasingtona bb,Faculty of Electrical Engineering,Podgorica,Montenegro,81000

Funder

Horizon Europe

Publisher

IEEE

Reference15 articles.

1. Edge Machine Learning for AI-Enabled IoT Devices: A Review

2. Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding;Han;arXiv preprint arXiv:1510.00149,2015

3. TinyML: Current Progress, Research Challenges, and Future Roadmap

4. Benchmarking TinyML Systems: Challenges and Direction;Banbury;arXiv preprint arXiv:2003.04821,2020

5. Underwater Wireless Sensor Networks: A Survey on Enabling Technologies, Localization Protocols, and Internet of Underwater Things

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