ESC-NAS: Environment Sound Classification Using Hardware-Aware Neural Architecture Search for the Edge

The combination of deep-learning and IoT plays a significant role in modern smart solutions, providing the capability of handling task-specific real-time offline operations with improved accuracy and minimised resource consumption. This study provides a novel hardware-aware neural architecture searc...

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Hlavní autoři:	Dakshina Ranmal, Piumini Ranasinghe, Thivindu Paranayapa, Dulani Meedeniya, Charith Perera
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-06-01
Edice:	Sensors
Témata:	deep learning environment sound classification hardware-aware neural architecture search lightweight convolutional neural networks search space
On-line přístup:	https://www.mdpi.com/1424-8220/24/12/3749
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