A Performance Study of Deep Neural Network Representations of Interpretable ML on Edge Devices with AI Accelerators

With the rising adoption of machine learning (ML) and deep learning (DL) applications, the demand for deploying these algorithms closer to sensors has grown significantly, particularly in sensor-driven use cases such as predictive maintenance (PM) and condition monitoring (CM). This study investigat...

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מידע ביבליוגרפי

Principais autores:	Julian Schauer, Payman Goodarzi, Jannis Morsch, Andreas Schütze
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2025-09-01
סדרה:	Sensors
נושאים:	edge computing smart sensors interpretable ML AI accelerator latency energy efficiency
גישה מקוונת:	https://www.mdpi.com/1424-8220/25/18/5681
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!