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All Outputs (626)

Electromagnetic Analysis of an Ultra-Lightweight Cipher: PRESENT (2021)
Presentation / Conference Contribution
Gunathilake, N. A., Al-Dubai, A., Buchanan, W. J., & Lo, O. (2021). Electromagnetic Analysis of an Ultra-Lightweight Cipher: PRESENT. In 10th International Conference on Cryptography and Information Security (CRYPIS 2021) (185-205)

Side-channel attacks are an unpredictable risk factor in cryptography. Therefore, continuous observations of physical leakages are essential to minimise vulnerabilities associated with cryptographic functions. Lightweight cryptography is a novel appr... Read More about Electromagnetic Analysis of an Ultra-Lightweight Cipher: PRESENT.

Mediated Participatory Urban Planning and Design: An Interdisciplinary Framework (2021)
Presentation / Conference Contribution
Zeller, F., Smith, D. H., Eyles, E., Eyles, J., Silva de Jesus, D., & Hillis, C. (2021, June). Mediated Participatory Urban Planning and Design: An Interdisciplinary Framework. Paper presented at Urban Assemblage: The City as Architecture, Media, AI and Big Data, London, UK

This paper describes a theoretical, interdisciplinary framework for mediated participatory urban planning and design. More specifically, the framework aims to provide a theoretical background and overview for participatory urban planning that integra... Read More about Mediated Participatory Urban Planning and Design: An Interdisciplinary Framework.

Computing students' attitudes to environmental sustainability education (2021)
Presentation / Conference Contribution
Smith, S., Egan, C., & Plum, K. (2021, June). Computing students' attitudes to environmental sustainability education. Paper presented at Horizons in STEM Higher Education, Online

Students have voiced concerns that their university courses do not equip them with sufficient information to understand the challenges of environmental sustainability. Although some universities (notably UWE and Keele, among others) have made signifi... Read More about Computing students' attitudes to environmental sustainability education.

Designing Blended Experiences (2021)
Presentation / Conference Contribution
O’Keefe, B., Flint, T., Sturdee, M., Mastermaker, M., & Benyon, D. (2021, June). Designing Blended Experiences. Presented at 2021 ACM Designing Interactive Systems (DIS), Online

The increasing ubiquity of interactions as a mix between digital content and physical objects and spaces, brings about new challenges for designers. There is a need to embed designs in legacy systems, whether those are existing physical structures or... Read More about Designing Blended Experiences.

Statistics of local and global flame speed and structure for highly turbulent H2/air premixed flames (2021)
Journal Article
Song, W., Hernández Pérez, F. E., Tingas, E., & Im, H. G. (2021). Statistics of local and global flame speed and structure for highly turbulent H2/air premixed flames. Combustion and Flame, 232, Article 111523. https://doi.org/10.1016/j.combustflame.2021.111523

A statistical analysis is conducted for turbulent hydrogen-air premixed flames at a range of Karlovitz numbers up to 1,126 by direct numerical simulations (DNS) with detailed chemistry. The local and global burning velocities are evaluated and the de... Read More about Statistics of local and global flame speed and structure for highly turbulent H2/air premixed flames.

Using novelty search to explicitly create diversity in ensembles of classifiers (2021)
Presentation / Conference Contribution
Cardoso, R. P., Hart, E., Kurka, D. B., & Pitt, J. V. (2021, July). Using novelty search to explicitly create diversity in ensembles of classifiers. Presented at GECCO '21: Genetic and Evolutionary Computation Conference, Lille, France [Online]

The diversity between individual learners in an ensemble is known to influence its performance. However, there is no standard agreement on how diversity should be defined, and thus how to exploit it to construct a high-performing classifier. We propo... Read More about Using novelty search to explicitly create diversity in ensembles of classifiers.

Addressing Unobserved Heterogeneity in the Analysis of Bicycle Crash Injuries in Scotland: A Correlated Random Parameters Ordered Probit Approach with Heterogeneity in Means (2021)
Journal Article
Fountas, G., Fonzone, A., Olowosegun, A., & McTigue, C. (2021). Addressing Unobserved Heterogeneity in the Analysis of Bicycle Crash Injuries in Scotland: A Correlated Random Parameters Ordered Probit Approach with Heterogeneity in Means. Analytic Methods in Accident Research, 32, Article 100181. https://doi.org/10.1016/j.amar.2021.100181

This paper investigates the determinants of injury severities in single-bicycle and bicycle-motor vehicle crashes by estimating correlated random parameter ordered probit models with heterogeneity in the means. This modeling approach extends the fron... Read More about Addressing Unobserved Heterogeneity in the Analysis of Bicycle Crash Injuries in Scotland: A Correlated Random Parameters Ordered Probit Approach with Heterogeneity in Means.

Plant phenotyping on-demand: an integrative web-based framework using drones and participatory sensing in greenhouses (2021)
Presentation / Conference Contribution
Frangulea, M., Pantos, C., Giuffrida, V., & Valente, J. (2021, July). Plant phenotyping on-demand: an integrative web-based framework using drones and participatory sensing in greenhouses. Presented at 13th European Conference on Precision Agriculture, Budapest, Hungary

A tool for plant phenotyping is proposed to aid users in analyzing data on-demand. This tool is web-based and runs deep learning models. The current study focuses on the development of this tool, as well as obtaining a plant dataset to train a neural... Read More about Plant phenotyping on-demand: an integrative web-based framework using drones and participatory sensing in greenhouses.

Secretation: Toward a Decentralised Identity and Verifiable Credentials Based Scalable and Decentralised Secret Management Solution (2021)
Presentation / Conference Contribution
Jaroucheh, Z., & Álvarez, I. A. (2021, May). Secretation: Toward a Decentralised Identity and Verifiable Credentials Based Scalable and Decentralised Secret Management Solution. Presented at 2021 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), Sydney, Australia

Secrets such as passwords, encryption keys, and certificates are used to assist in protecting access to resources such as computing devices, customer data and other information. Unauthorised access to resources can cause significant disruption and/or... Read More about Secretation: Toward a Decentralised Identity and Verifiable Credentials Based Scalable and Decentralised Secret Management Solution.

Using Artificial Intelligence for Optimizing Natural Frequency of Recycled Concrete for Mechanical Machine Foundation (2021)
Journal Article
Lashin, M. M. A., Khokhar, A., Alrowais, F., Malibari, A., & Saleh, W. (2021). Using Artificial Intelligence for Optimizing Natural Frequency of Recycled Concrete for Mechanical Machine Foundation. Recycling, 6(3), Article 43. https://doi.org/10.3390/recycling6030043

This paper investigates the mechanical properties of two different types of recycled concrete, which use wood and rubber, relative to those characteristics of pure concrete, in terms of maximum load and natural frequencies. This paper contributes to... Read More about Using Artificial Intelligence for Optimizing Natural Frequency of Recycled Concrete for Mechanical Machine Foundation.

Practical Intrusion Detection of Emerging Threats (2021)
Journal Article
Mills, R., Marnerides, A. K., Broadbent, M., & Race, N. (2022). Practical Intrusion Detection of Emerging Threats. IEEE Transactions on Network and Service Management, 19(1), 582-600. https://doi.org/10.1109/TNSM.2021.3091517

The Internet of Things (IoT), in combination with advancements in Big Data, communications and networked systems, offers a positive impact across a range of sectors including health, energy, manufacturing and transport. By virtue of current business... Read More about Practical Intrusion Detection of Emerging Threats.

Infrared Sensing Based Non-Invasive Initial Diagnosis of Chronic Liver Disease Using Ensemble Learning (2021)
Journal Article
Rehman, M. U., Najam, S., Khalid, S., Shafique, A., Alqahtani, F., Baothman, F., Shah, S. Y., Abbasi, Q. H., Imran, M. A., & Ahmad, J. (2021). Infrared Sensing Based Non-Invasive Initial Diagnosis of Chronic Liver Disease Using Ensemble Learning. IEEE Sensors Journal, 21(17), 19395-19406. https://doi.org/10.1109/jsen.2021.3091471

The liver is a vital human body organ and its functionality can be degraded by several diseases such as hepatitis, fatty liver disease, and liver cancer and so forth. Hence, the early diagnosis of liver diseases is extremely crucial for saving human... Read More about Infrared Sensing Based Non-Invasive Initial Diagnosis of Chronic Liver Disease Using Ensemble Learning.

Utilizing SWOT Analysis for the Energy Research: A Methodological Overview (2021)
Presentation / Conference Contribution
Karim, R., Muhammad-Sukki, F., Muhtazaruddin, M. N., & Ardila-Rey, J. A. (2021, June). Utilizing SWOT Analysis for the Energy Research: A Methodological Overview. Paper presented at 1st International Conference of Advanced Research on Renewable Energy for Universal Sustainability 2021 (ARUS2021), Kuala Lumpur, Malaysia

This paper is an attempt to guide the future researchers who want to utilize the SWOT as a method to understand a particular energy industry of a country. This study is the pioneer in the domain of SWOT analysis in the energy research, as it strategi... Read More about Utilizing SWOT Analysis for the Energy Research: A Methodological Overview.

Persistence and stability for a class of forced positive nonlinear delay-differential systems (2021)
Journal Article
Franco, D., Guiver, C., & Logemann, H. (2021). Persistence and stability for a class of forced positive nonlinear delay-differential systems. Acta applicandae mathematicae, 174(1), Article 1 (2021). https://doi.org/10.1007/s10440-021-00414-5

Persistence and stability properties are considered for a class of forced positive non-linear delay-differential systems which arise in mathematical ecology and other applied contexts.The inclusion of forcing incorporates the effects of control actio... Read More about Persistence and stability for a class of forced positive nonlinear delay-differential systems.

ICT in context: co-designing energy efficiency ICT-based interventions from the ground up (2021)
Presentation / Conference Contribution
Morton, A., Reeves, A., & Bull, R. (2021, June). ICT in context: co-designing energy efficiency ICT-based interventions from the ground up. Presented at eceee Summer Study - Energy Efficiency: a new reality?, Online

In an ever-increasing digital environment, the need for successful utilisation of Information and Communication Technologies (ICT) within energy efficiency interventions is never more prominent. The use of ICT can aid the digitalisation of actions, i... Read More about ICT in context: co-designing energy efficiency ICT-based interventions from the ground up.

Review on the Potential of a Tidal Energy Harnessing System in Malaysia (2021)
Book Chapter
Prashanth, P. H., Afrouzi, H. N., Wooi, C., Mehranzamir, K., Liew, S. C., & Ahmed, J. (2021). Review on the Potential of a Tidal Energy Harnessing System in Malaysia. In M. Syahril Bahari, A. Harun, Z. Zainal Abidin, R. Hamidon, & S. Zakaria (Eds.), Intelligent Manufacturing and Mechatronics: Proceedings of SympoSIMM 2020 (103-111). Springer. https://doi.org/10.1007/978-981-16-0866-7_8

Tidal Energy is one the most prominent and promising renewable energy sources due to its consistency in electricity generation. Malaysia, being a country with its vast resources is persistently affecting its research towards the transition of using c... Read More about Review on the Potential of a Tidal Energy Harnessing System in Malaysia.

Differential Area Analysis for Ransomware Attack Detection within Mixed File Datasets (2021)
Journal Article
Davies, S. R., Macfarlane, R., & Buchanan, W. J. (2021). Differential Area Analysis for Ransomware Attack Detection within Mixed File Datasets. Computers and Security, 108, Article 102377. https://doi.org/10.1016/j.cose.2021.102377

The threat from ransomware continues to grow both in the number of affected victims as well as the cost incurred by the people and organisations impacted in a successful attack. In the majority of cases, once a victim has been attacked there remain o... Read More about Differential Area Analysis for Ransomware Attack Detection within Mixed File Datasets.

Multi-stage deep learning approaches to predict boarding behaviour of bus passengers (2021)
Journal Article
Tang, T., Fonzone, A., Liu, R., & Choudhury, C. (2021). Multi-stage deep learning approaches to predict boarding behaviour of bus passengers. Sustainable Cities and Society, 73, Article 103111. https://doi.org/10.1016/j.scs.2021.103111

Smart card data has emerged in recent years and provide a comprehensive, and cheap source of information for planning and managing public transport systems. This paper presents a multi-stage machine learning framework to predict passengers’ boarding... Read More about Multi-stage deep learning approaches to predict boarding behaviour of bus passengers.

Public perception of the fifth generation of cellular networks (5G) on social media (2021)
Journal Article
Dashtipour, K., Taylor, W., Ansari, S., Gogate, M., Zahid, A., Sambo, Y., Hussain, A., Abbasi, Q. H., & Imran, M. A. (2021). Public perception of the fifth generation of cellular networks (5G) on social media. Frontiers in Big Data, 4, Article 640868. https://doi.org/10.3389/fdata.2021.640868

With the advancement of social media networks, there are lots of unlabeled reviews available online, therefore it is necessarily to develop automatic tools to classify these types of reviews. To utilize these reviews for user perception, there is a n... Read More about Public perception of the fifth generation of cellular networks (5G) on social media.