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Akademický článek

A comparative study of ensemble methods and multi-output classifiers for predictive maintenance of hydraulic systems

Autor: Hassan N. Noura, Thomas Chu, Zaid Allal, Ola Salman, Khaled Chahine

Publikováno v: Results in Engineering, Vol 24, Iss , Pp 102900- (2024)

The maintenance and upkeep of hydraulic systems play a pivotal role in various industrial applications, from manufacturing processes to heavy machinery operations. Traditional strategies often face significant limitations, particularly concerning int

Externí odkaz: https://doaj.org/article/f353762a740149aa82b1b3368e1abbab

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Akademický článek

Wind turbine fault detection and identification using a two-tier machine learning framework

Autor: Zaid Allal, Hassan N. Noura, Flavien Vernier, Ola Salman, Khaled Chahine

Publikováno v: Intelligent Systems with Applications, Vol 22, Iss , Pp 200372- (2024)

A proactive approach is essential to optimize wind turbine maintenance and minimize downtime. By utilizing advanced data analysis techniques on the existing Supervisory Control and Data Acquisition (SCADA) system data, valuable insights can be gained

Externí odkaz: https://doaj.org/article/b24b4f2e1bfe49488f6fa67e5148a9c1

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Akademický článek

Security of federated learning with IoT systems: Issues, limitations, challenges, and solutions

Autor: Jean-Paul A. Yaacoub, Hassan N. Noura, Ola Salman

Publikováno v: Internet of Things and Cyber-Physical Systems, Vol 3, Iss , Pp 155-179 (2023)

Federated Learning (FL, or Collaborative Learning (CL)) has surely gained a reputation for not only building Machine Learning (ML) models that rely on distributed datasets, but also for starting to play a key role in security and privacy solutions to

Externí odkaz: https://doaj.org/article/9f4628876ce442eeaab438c84f4f01ce

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Akademický článek

Ethical hacking for IoT: Security issues, challenges, solutions and recommendations

Autor: Jean-Paul A. Yaacoub, Hassan N. Noura, Ola Salman, Ali Chehab

Publikováno v: Internet of Things and Cyber-Physical Systems, Vol 3, Iss , Pp 280-308 (2023)

In recent years, attacks against various Internet-of-Things systems, networks, servers, devices, and applications witnessed a sharp increase, especially with the presence of 35.82 billion IoT devices since 2021; a number that could reach up to 75.44

Externí odkaz: https://doaj.org/article/4ab3d558e12f401b907f4475b84f12c1

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