Individualised responsible artificial intelligence for home-based rehabilitation I Vourganas, V Stankovic, L Stankovic Sensors 21 (1), 2, 2020 | 26 | 2020 |
Factors that contribute to the use of stroke self-rehabilitation technologies: A review I Vourganas, V Stankovic, L Stankovic, A Kerr JMIR Biomedical Engineering 4 (1), e13732, 2019 | 20 | 2019 |
Evaluation of home-based rehabilitation sensing systems with respect to standardised clinical tests I Vourganas, V Stankovic, L Stankovic, AL Michala Sensors 20 (1), 26, 2019 | 12 | 2019 |
Prediction of wear rates of UHMWPE bearing in hip joint prosthesis with support vector model and grey wolf optimization RE Hammam, H Attar, A Amer, H Issa, I Vourganas, A Solyman, P Venu, ... Wireless Communications and Mobile Computing 2022, 1-16, 2022 | 10 | 2022 |
Vibration edge computing in maritime iot AL Michala, I Vourganas, A Coraddu ACM Transactions on Internet of Things 3 (1), 1-18, 2021 | 6 | 2021 |
Accountable, responsible, transparent artificial intelligence in ambient intelligence systems for healthcare I Vourganas, H Attar, AL Michala Intelligent Healthcare: Infrastructure, Algorithms and Management, 87-111, 2022 | 5 | 2022 |
A smart modular wireless system for condition monitoring data acquisition AL Michala, I Vourganas Technische Universität Hamburg-Harburg, 2017 | 3 | 2017 |
mini-ELSA: using Machine Learning to improve space efficiency in Edge Lightweight Searchable Attribute-based encryption for Industry 4.0 J Aljabri, AL Michala, J Singer, I Vourganas arXiv preprint arXiv:2209.10896, 2022 | 2 | 2022 |
Secure data transfer and provenance for distributed healthcare AL Michala, H Attar, I Vourganas Intelligent Healthcare: Infrastructure, Algorithms and Management, 241-260, 2022 | 2 | 2022 |
Data science enabled rehabilitation I Vourganas | | 2021 |