All Outputs (10)

Taboo Or Not Taboo: (In)visibilities Of Death, Dying And Bereavement (2020)
Journal Article
Hård Af Segerstad, Y., Bell, J., Giaxoglou, K., Pitsillides, S., & Yeshua-Katz, D. (2020). Taboo Or Not Taboo: (In)visibilities Of Death, Dying And Bereavement. Selected Papers of Internet Research, Article 11125. https://doi.org/10.5210/spir.v2020i0.11125

The notion that ‘death is a taboo’ pervades private, public and academic discourses around death, dying and bereavement in contemporary Western societies. The rise of digital media within the last decades further complicates the appreciation of the s... Read More about Taboo Or Not Taboo: (In)visibilities Of Death, Dying And Bereavement.

Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI (2020)
Journal Article
Chatterjee, J., & Dethlefs, N. (2020). Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI. Journal of Physics: Conference Series, 1618(2), Article 022022. https://doi.org/10.1088/1742-6596/1618/2/022022

© 2020 Published under licence by IOP Publishing Ltd. Machine learning techniques have been widely used for condition-based monitoring of wind turbines using Supervisory Control & Acquisition (SCADA) data. However, many machine learning models, inclu... Read More about Temporal Causal Inference in Wind Turbine SCADA Data Using Deep Learning for Explainable AI.

SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures (2020)
Journal Article
Aslansefat, K., Sorokos, I., Whiting, D., Tavakoli Kolagari, R., & Papadopoulos, Y. (2020). SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures. Lecture notes in computer science, 12297, 197-211. https://doi.org/10.1007/978-3-030-58920-2_13

Ensuring safety and explainability of machine learning (ML) is a topic of increasing relevance as data-driven applications venture into safety-critical application domains, traditionally committed to high safety standards that are not satisfied with... Read More about SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures.

An Integrated Approach to Support the Process-Based Certification of Variant-Intensive Systems (2020)
Journal Article
Bressan, L., de Oliveira, A. L., Campos, F., Papadopoulos, Y., & Parker, D. (2020). An Integrated Approach to Support the Process-Based Certification of Variant-Intensive Systems. Lecture notes in computer science, 12297 LNCS, 179-193. https://doi.org/10.1007/978-3-030-58920-2_12

© 2020, Springer Nature Switzerland AG. Component-based approaches and software product lines have been adopted by industry to manage the diversity of configurations on safety-critical software. Safety certification demands compliance with standards.... Read More about An Integrated Approach to Support the Process-Based Certification of Variant-Intensive Systems.

Failure Mode Reasoning in Model Based Safety Analysis (2020)
Journal Article
Jahanian, H., Parker, D., Zeller, M., McIver, A., & Papadopoulos, Y. (2020). Failure Mode Reasoning in Model Based Safety Analysis. Lecture notes in computer science, 12297 LNCS, 130-145. https://doi.org/10.1007/978-3-030-58920-2_9

© 2020, Springer Nature Switzerland AG. Failure Mode Reasoning (FMR) is a novel approach for analyzing failure in a Safety Instrumented System (SIS). The method uses an automatic analysis of an SIS program to calculate potential failures in parts of... Read More about Failure Mode Reasoning in Model Based Safety Analysis.

Genetic Algorithms as a Feature Selection Tool in Heart Failure Disease (2020)
Journal Article
Alabed, A., Kambhampati, C., & Gordon, N. (in press). Genetic Algorithms as a Feature Selection Tool in Heart Failure Disease. Advances in Intelligent Systems and Computing, 1229 AISC, 531-543. https://doi.org/10.1007/978-3-030-52246-9_38

A great wealth of information is hidden in clinical datasets, which could be analyzed to support decision-making processes or to better diagnose patients. Feature selection is one of the data pre-processing that selects a set of input features by rem... Read More about Genetic Algorithms as a Feature Selection Tool in Heart Failure Disease.

Realisation of a biocompatible diffraction grating using an ArF excimer laser (2020)
Journal Article
Aesa, A. A., & Walton, C. D. (2020). Realisation of a biocompatible diffraction grating using an ArF excimer laser. IOP Conference Series: Materials Science and Engineering, 871(1), Article 012058. https://doi.org/10.1088/1757-899X/871/1/012058

We report the fabrication of a bio-compatible diffraction grating made out chitosan, a derivative of chitin. The diffraction grating has been realised by laser ablation using 193 nm excimer laser. Thin spun coated chitosan films 520 nm thick were use... Read More about Realisation of a biocompatible diffraction grating using an ArF excimer laser.

Urban road and pavement solar collector system for heat island mitigation: Assessing the beneficial impact on outdoor temperature (2020)
Journal Article
Nasir, S. D., Xu, W., Vital, B., Pantua, C., Zhou, B., Calautit, J., & Hughes, B. (2020). Urban road and pavement solar collector system for heat island mitigation: Assessing the beneficial impact on outdoor temperature. IOP Conference Series: Earth and Environmental Science, 463(1), Article 012038. https://doi.org/10.1088/1755-1315/463/1/012038

Road renewable energy system has raised much attention from both industrial and academic research on how abundant solar radiation absorbed by road surfaces can be collected while reducing the impact of high surface temperature towards urban environme... Read More about Urban road and pavement solar collector system for heat island mitigation: Assessing the beneficial impact on outdoor temperature.

Biosensor for determining average iron content of ferritin by measuring its optical dispersion (2020)
Journal Article
Gupta, R., Alamrani, N. A., Greenway, G. M., Pamme, N., & Goddard, N. J. (2020). Biosensor for determining average iron content of ferritin by measuring its optical dispersion. Proceedings of SPIE, 11235, https://doi.org/10.1117/12.2542162

© 2020 SPIE. Average iron content of ferritin has a potential to serve as a biomarker for early identification of high-risk trauma patients at point-of-care (PoC). Appropriate therapies can then be administered to reduce morbidity and mortality. Curr... Read More about Biosensor for determining average iron content of ferritin by measuring its optical dispersion.

P014 | THE INFLUENCE OF SUBCHONDRAL BONE CYSTS ON TISSUE PRESSURES IN THE TIBIOTALAR JOINT (2020)
Journal Article
Talbott, H., Wilkins, R., Redmond, A., Brockett, C., & Mengoni, M. (2020). P014 | THE INFLUENCE OF SUBCHONDRAL BONE CYSTS ON TISSUE PRESSURES IN THE TIBIOTALAR JOINT. Haemophilia, 26(S2), https://doi.org/10.1111/hae.13911

Introduction: Subchondral bone cysts are an indicator of late stage haemophilic joint disease (HJD); however, the implication of these cysts on joint health is little understood. The aim of this study was to assess, computationally, the influence... Read More about P014 | THE INFLUENCE OF SUBCHONDRAL BONE CYSTS ON TISSUE PRESSURES IN THE TIBIOTALAR JOINT.