Ochella, S., Dinmohammadi, Fateme and Shafiee, M. (2024) Bayesian neural networks for uncertainty quantification in remaining useful life prediction of systems with sensor monitoring. Advances in Mechanical Engineering. ISSN 1687-8132
Alajrami, Eman, Ng, Tiffany, Jevsikov, Jevgeni, Naidoo, Preshen, Fernandes, Patricia, Azarmehr, Neda, Dinmohammadi, Fateme, Shun-shin, Matthew J., Dadashi Serej, Nasim, Francis, Darrel P. and Zolgharni, Massoud (2024) Active Learning for Left Ventricle Segmentation in Echocardiography. Computer Methods and Programs in Biomedicine. p. 108111. ISSN 01692607
Dinmohammadi, Fateme, Han, Y. and Shafiee, M. (2023) Predicting Energy Consumption in Residential Buildings Using Advanced Machine Learning Algorithms. Energies, 16 (9). ISSN 1996-1073
Ochella, S., Shafiee, M. and Dinmohammadi, Fateme (2021) Artificial intelligence in prognostics and health management of engineering systems. Engineering Applications of Artificial Intelligence, 108 (104552).
Dinmohammadi, Fateme (2023) Adopting Artificial Intelligence in Industry 4.0: Understanding the Drivers, Barriers and Technology Trends. In: 2023 28th International Conference on Automation and Computing (ICAC), 30 Aug - 01 Sep 2023, Birmingham, UK.
Dinmohammadi, Fateme, Karama, J. and Shafiee, M. (2023) Structural Damage Identification of Low-Carbon Energy Infrastructure Using Convolutional Neural Networks: A Case Study of Wind Turbines. In: 2023 28th International Conference on Automation and Computing (ICAC), 30 Aug - 01 Sep 2023, Birmingham, United Kingdom.
Alajrami, Eman, Naidoo, Preshen, Jevsikov, Jevgeni, Lane, Elisabeth, Pordoy, Jamie, Serej, Nasim Dadashi, Azarmehr, Neda, Dinmohammadi, Fateme, Shun-shin, Matthew J., Francis, Darrel P. and Zolgharni, Massoud (2023) Deep Active Learning for Left Ventricle Segmentation in Echocardiography. In: Functional Imaging and Modeling of the Heart, 19-22 June 2023, Lyon, France.
Dinmohammadi, Fateme, Shafiee, Mahmood and Zio, Enrico (2022) An Imperfect Usage-Based Preventive Maintenance Planning Model for Railway Track Superstructures. In: ASME 2021 International Mechanical Engineering Congress and Exposition, 1-5 Nov 2021, Virtual.