Comprehensive Analysis of Neural Network Inference on Embedded Systems: Response Time, Calibration, and Model Optimisation
The response time of Artificial Neural Network (ANN) inference is critical in embedded systems processing sensor data close to the source. This is particularly important in applications such as predictive maintenance, which rely on timely state change predictions. This study enables estimation of mo...
Saved in:
| Main Authors: | Patrick Huber, Ulrich Göhner, Mario Trapp, Jonathan Zender, Rabea Lichtenberg |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-08-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/15/4769 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Rekayasa Perangkat Lunak Aplikasi Presensi Mobile Menggunakan Metode Deep Learning
by: Ragil Setiawan, et al.
Published: (2023-12-01) -
Adaptasi Model CNN Terlatih pada Aplikasi Bergerak untuk Klasifikasi Citra Termal Payudara
by: Roslidar Roslidar, et al.
Published: (2022-09-01) -
On-Edge Deployment of Vision Transformers for Medical Diagnostics Using the Kvasir-Capsule Dataset
by: Dara Varam, et al.
Published: (2024-09-01) -
Indonesian Sign System Introduction Application with Tensorflow Lite and Firebase Authentication
by: Rozali Toyib, et al.
Published: (2025-04-01) -
Breaking language barriers with image detection and natural language processing model for English to Spanish translation
by: Bakhita Salman, et al.
Published: (2025-07-01)