Data Glove System: Real-Time Resistance Classification with Embedded Machine Learning DOI
Mohamad Yaacoub,

Matthias Vanlaeres,

Daniella Shebly

и другие.

Lecture notes in electrical engineering, Год журнала: 2025, Номер unknown, С. 563 - 570

Опубликована: Янв. 1, 2025

Язык: Английский

Developing a TinyML Image Classifier in a Hour DOI Creative Commons
Riccardo Berta, Ali Dabbous, Luca Lazzaroni

и другие.

IEEE Open Journal of the Industrial Electronics Society, Год журнала: 2024, Номер 5, С. 946 - 960

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

9

Bringing Intelligence to the Edge for Structural Health Monitoring: The Case Study of the Z24 Bridge DOI Creative Commons
Ali Dabbous, Riccardo Berta, Matteo Fresta

и другие.

IEEE Open Journal of the Industrial Electronics Society, Год журнала: 2024, Номер 5, С. 781 - 794

Опубликована: Янв. 1, 2024

Structural health monitoring (SHM) is key in civil engineering because of the importance and aging infrastructure. We argue that applying leading-edge, data-driven methods large-scale complex industrial systems may be beneficial, particularly for accuracy responsiveness. A fundamental step concerns identification best tools to extract meaningful information from vibrational raw signals. To this end, we study application two convolutional neural network architectures have emerged literature efficient feature extraction time series, namely WaveNet MINImally RandOm Convolutional KErnel Transform (MiniRocket). The test bench Z24 bridge progressive damage classification dataset. Results show a model based on reaches state-of-the-art performance, also reducing size computational complexity. proves perfectly suited interpret vibration waveforms directly domain, without any specific preprocessing. On other hand, MiniRocket excels ease configuration (only hyperparameters are tweaked), overall training efficiency, size, lending itself as valuable agile alternative (e.g., rapid prototyping). Our main advancement is, thus, characterization highly effective methods, employable different SHM tasks. assessed performance models embedded platforms, proposing smart sensor system where local hub collects signals constellation inertial sensors infers assessment onsite, allowing self-assess its state resorting connectivity nor cloud resources.

Язык: Английский

Процитировано

8

Enhancing μNAS for 1D CNNs on Microcontrollers DOI
Alessio Capello, Riccardo Berta,

Hadi Ballout

и другие.

Lecture notes in electrical engineering, Год журнала: 2025, Номер unknown, С. 481 - 486

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

TinyML Acceleration with MAX78000 DOI
Ali Dabbous, Luca Lazzaroni, Francesco Bellotti

и другие.

Lecture notes in electrical engineering, Год журнала: 2025, Номер unknown, С. 468 - 474

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Classification of Skiing Techniques on Embedded System DOI
Matteo Fresta, Francesco Bellotti, Alessio Capello

и другие.

Lecture notes in electrical engineering, Год журнала: 2025, Номер unknown, С. 475 - 480

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Neural Architecture Search for Optimized TinyML Applications DOI

Abbas Kassem Zein,

Rand Abou Diab,

Mohamad Yaacoub

и другие.

Lecture notes in electrical engineering, Год журнала: 2025, Номер unknown, С. 481 - 488

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Quantization of MobileNetV2 for Resource-Constrained Microcontrollers DOI
Luca Lazzaroni, Francesco Bellotti, Ali Dabbous

и другие.

Lecture notes in electrical engineering, Год журнала: 2025, Номер unknown, С. 497 - 504

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Leveraging Neural Architecture Search for Structural Health Monitoring on Resource-Constrained Devices DOI
Alessio Capello, Riccardo Berta, Matteo Fresta

и другие.

Lecture notes in electrical engineering, Год журнала: 2025, Номер unknown, С. 323 - 330

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Green Machine Learning for the IoT (GEMINI): A Position Paper DOI
Luca Lazzaroni, Ali Dabbous, Matteo Nardello

и другие.

Lecture notes in electrical engineering, Год журнала: 2025, Номер unknown, С. 339 - 346

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Performance Comparison of YOLOv8 and YOLOv10 for Traffic Light Detection on a Jetson Nano Board DOI

Hadi Ballout,

Riccardo Berta, Ali Dabbous

и другие.

Lecture notes in electrical engineering, Год журнала: 2025, Номер unknown, С. 242 - 249

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0