Amira Rezk

Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges

Assessing water quality of an ecologically critical urban canal incorporating machine learning approaches

Towards a deep learning-based outlier detection approach in the context of streaming data

A conditional GAN-based approach for enhancing transfer learning performance in few-shot HCR tasks