An Impact Localization Solution Using Embedded Intelligence—Methodology and Experimental Verification via a Resource-Constrained IoT Device

An Impact Localization Solution Using Embedded Intelligence—Methodology and Experimental Verification via a Resource-Constrained IoT Device

Recent advances both in hardware and software have facilitated the embedded intelligence (EI) research field, and enabled machine learning and decision-making integration in resource-scarce IoT devices and systems, realizing “conscious” and self-explanatory objects (smart objects). In the context of...

Full description

Bibliographic Details
Main Authors: Ioannis Katsidimas, Vassilis Kostopoulos, Thanasis Kotzakolios, Sotiris E. Nikoletseas, Stefanos H. Panagiotou, Constantinos Tsakonas
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
resource-constrained IoT
TinyML
structural health monitoring
PZT sensors
PMMA plate
industrial WSN
Online Access:https://www.mdpi.com/1424-8220/23/2/896

Internet

https://www.mdpi.com/1424-8220/23/2/896

Similar Items