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Case study: multi-billion pound infrastructure decision making: a regulatory infrastructure asset management assessment. (2022)
Working Paper
BRUINERS, J., NJUGUNA, J. and AGARWAL, A. 2022. Case study: multi-billion pound infrastructure decision making: a regulatory infrastructure asset management assessment. Hosted on OpenAIR [online]. Available from: https://rgu-repository.worktribe.com/output/1777830

This paper evaluates the effectiveness of a hypothesised asset management decision framework implemented with a High-Speed Railway Infrastructure Asset in the U.K over a three-year period. The physical infrastructure asset(s) consists of a complex as... Read More about Case study: multi-billion pound infrastructure decision making: a regulatory infrastructure asset management assessment..

A holistic power systems asset engineering and decision management framework for railway asset managers. (2022)
Working Paper
BRUINERS, J., NJUGUNA, J. and AGARWAL, A. 2022. A holistic power systems asset engineering and decision management framework for railway asset managers. Hosted on OpenAIR [online]. Available from: https://rgu-repository.worktribe.com/output/1777336

Defining, designing and implementing an asset management system capable of effectively managing assets throughout their life in terms of engineering, financial, digital and stakeholder needs is challenging. Furthermore, governance frameworks of the p... Read More about A holistic power systems asset engineering and decision management framework for railway asset managers..

A black hole-aided deep-helix channel model for DNA. [Preprint] (2022)
Working Paper
SARKER, M.A.L., KADER, M.F., SARKER, M.M.K., LEE, M.H. and HAN, D.S. 2022. A black hole-aided deep-helix channel model for DNA. Research square [online], 10 January 2022, Preprint (version 3). Available from: https://doi.org/10.21203/rs.3.rs-1026992/v3

In this article, we present a black-hole-aided deep-helix (bh-dh) channel model to enhance information bound and mitigate a multiple-helix directional issue in Deoxyribonucleic acid (DNA) communications. The recent observations of DNA do not match wi... Read More about A black hole-aided deep-helix channel model for DNA. [Preprint].

Two layer ensemble of deep learning models for medical image segmentation. [Preprint] (2021)
Working Paper
DANG, T., NGUYEN, T.T., MCCALL, J., ELYAN, E. and MORENO-GARCÍA, C.F. 2021. Two layer ensemble of deep learning models for medical image segmentation. arXiv [online]. Available from: https://doi.org/10.48550/arXiv.2104.04809

In recent years, deep learning has rapidly become a method of choice for the segmentation of medical images. Deep Neural Network (DNN) architectures such as UNet have achieved state-of-the-art results on many medical datasets. To further improve the... Read More about Two layer ensemble of deep learning models for medical image segmentation. [Preprint].