Outputs (113)

Direct entrants as route guides to the higher education landscape (2022)
Presentation / Conference Contribution
Taylor-Smith, E., Meharg, D., & Fabian, K. (2022). Direct entrants as route guides to the higher education landscape. In SRHE International Conference 2022

Students who study for an HND at further education college and then join the university directly into the 3 rd year of their honours degree are a valuable segment of our academic community. This route provides opportunities for more people to gain HE... Read More about Direct entrants as route guides to the higher education landscape.

Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World (2022)
Book
Urquhart, N. (2022). Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World. Cham: Springer. https://doi.org/10.1007/978-3-030-98108-2

This book explains classic routing and transportation problems and solutions, before offering insights based on successful real-world solutions. The chapters in Part I introduce and explain the traveling salesperson problem (TSP), vehicle routing pro... Read More about Nature Inspired Optimisation for Delivery Problems: From Theory to the Real World.

Hyper-parameter initialization of classification algorithms using dynamic time warping: A perspective on PCA meta-features (2022)
Presentation / Conference Contribution
Horváth, T., Mantovani, R. G., & de Carvalho, A. C. Hyper-parameter initialization of classification algorithms using dynamic time warping: A perspective on PCA meta-features

Meta-learning, a concept from the area of automated machine learning, aims at providing decision support for data scientists by recommending a suitable setting (a machine learning algorithm or its hyper-parameters) to be used for a given dataset. Suc... Read More about Hyper-parameter initialization of classification algorithms using dynamic time warping: A perspective on PCA meta-features.

Using Social Media & Sentiment Analysis to Make Investment Decisions (2022)
Journal Article
Hasselgren, B., Chrysoulas, C., Pitropakis, N., & Buchanan, W. J. (2023). Using Social Media & Sentiment Analysis to Make Investment Decisions. Future Internet, 15(1), Article 5. https://doi.org/10.3390/fi15010005

Making investment decisions by utilizing sentiment data from social media (SM) is starting to become a more tangible concept. There has been a broad investigation into this field of study over the last decade, and many of the findings have promising... Read More about Using Social Media & Sentiment Analysis to Make Investment Decisions.

Drivers For Building Retrofitting Practice: A Systematic Review (2022)
Presentation / Conference Contribution
Ejidike, C. C., Mewomo, M. C., Agbajor, F. D., & Olawumi, T. O. (2022, October). Drivers For Building Retrofitting Practice: A Systematic Review. Presented at 8th International Conference on Development and Investment in Infrastructure (DII-2022), Johannesburg, South Africa

Retrofitting an existing building offers a significant opportunity to improve its performance to solve the problems associated with energy consumption, occupant thermal discomfort, and cost of operation in the building, It is essential to understand... Read More about Drivers For Building Retrofitting Practice: A Systematic Review.

An Input Sampling Scheme to Radar Echo Extrapolation For RNN-Based Models (2022)
Presentation / Conference Contribution
Wang, Y., Yang, Z., Liu, Q., & Liu, X. (2022, September). An Input Sampling Scheme to Radar Echo Extrapolation For RNN-Based Models. Presented at 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), Falerna, Italy

Short-term heavy rainfall can have a significant impact on people's production, life and travel. Numerical Weather Prediction (NWP) is complex. It can predict weather conditions for the next week or even two weeks, but cannot predict the weather in t... Read More about An Input Sampling Scheme to Radar Echo Extrapolation For RNN-Based Models.

Dense-FCN: A Deep Learning Approach for Weather Radar Beam Blockage Correction (2022)
Presentation / Conference Contribution
Sun, J., Wu, H., Liu, Q., Liu, X., & Ma, J. (2022, September). Dense-FCN: A Deep Learning Approach for Weather Radar Beam Blockage Correction. Presented at 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), Falerna, Italy

The weather radar will receive a lot of non-meteorological echo information during the body scan process, such as: object echoes, co-wave interference echoes, airplanes, flocks of birds, etc. These non-meteorological echoes will cause pollution to no... Read More about Dense-FCN: A Deep Learning Approach for Weather Radar Beam Blockage Correction.

Emerging Simulation Frameworks for Analyzing Smart Grid Cyberattack: A Literature Review (2022)
Presentation / Conference Contribution
Darteh, O. F., Liu, Q., Liu, X., Bah, I., Nakoty, F. M., & Acakpovi, A. (2022, September). Emerging Simulation Frameworks for Analyzing Smart Grid Cyberattack: A Literature Review. Presented at 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), Falerna, Italy

The transition of the conventional power grid into the Smart Grid (SG), a widely distributed energy delivery network characterized by a two-way flow of electricity and information, is key for energy sector stakeholders. Despite the SG’s clear improve... Read More about Emerging Simulation Frameworks for Analyzing Smart Grid Cyberattack: A Literature Review.

High Resolution Remote Sensing Water Image Segmentation Based on Dual Branch Network (2022)
Presentation / Conference Contribution
Zhang, Z., Li, Y., Liu, Q., & Liu, X. (2022, September). High Resolution Remote Sensing Water Image Segmentation Based on Dual Branch Network. Presented at 2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), Falerna, Italy

A basic stage of hydrological research is to automatically extract water body information from high-resolution remote sensing images. Various methods based on deep learning convolutional neural networks have been proposed in recent studies to achieve... Read More about High Resolution Remote Sensing Water Image Segmentation Based on Dual Branch Network.

Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract) (2022)
Presentation / Conference Contribution
Sampath Kalutharage, C., Liu, X., & Chrysoulas, C. (2022, September). Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract). Presented at 27th European Symposium on Research in Computer Security (ESORICS) 2022, Copenhagen, Denmark

Over the past few decades, Machine Learning (ML)-based intrusion detection systems (IDS) have become increasingly popular and continue to show remarkable performance in detecting attacks. However, the lack of transparency in their decision-making pro... Read More about Explainable AI and Deep Autoencoders Based Security Framework for IoT Network Attack Certainty (Extended Abstract).

A framework for live host-based Bitcoin wallet forensics and triage (2022)
Journal Article
Holmes, A., & Buchanan, W. J. (2023). A framework for live host-based Bitcoin wallet forensics and triage. Forensic Science International: Digital Investigation, 44, Article 301486. https://doi.org/10.1016/j.fsidi.2022.301486

Organised crime and cybercriminals use Bitcoin, a popular cryptocurrency, to launder money and move it across borders with impunity. The UK and other countries have legislation to recover the proceeds of crime from criminals. Recent UK case law has r... Read More about A framework for live host-based Bitcoin wallet forensics and triage.

Four-Element/Eight-Port MIMO Antenna System with Diversity and Desirable Radiation for Sub 6 GHz Modern 5G Smartphones (2022)
Journal Article
Parchin, N. O., Amar, A. S., Darwish, M., Moussa, K. H., See, C. H., Abd-Alhameed, R. A., Alwadai, N. M., & Mohamed, H. G. (2022). Four-Element/Eight-Port MIMO Antenna System with Diversity and Desirable Radiation for Sub 6 GHz Modern 5G Smartphones. IEEE Access, 10, 133037-133051. https://doi.org/10.1109/access.2022.3227199

In this manuscript, a multiple-input multiple-output (MIMO) antenna array system with identical compact antenna elements providing wide radiation and diversity function is introduced for sub 6 GHz fifth-generation (5G) cellular applications. The intr... Read More about Four-Element/Eight-Port MIMO Antenna System with Diversity and Desirable Radiation for Sub 6 GHz Modern 5G Smartphones.

A forensic analysis of streaming platforms on Android OS (2022)
Journal Article
Murias, J. G., Levick, D., & McKeown, S. (2023). A forensic analysis of streaming platforms on Android OS. Forensic Science International: Digital Investigation, 44, Article 301485. https://doi.org/10.1016/j.fsidi.2022.301485

This work builds on existing research in streamed video reconstruction on the Android OS, which previously demonstrated that caching occurs in most cases for the Chrome and Firefox Web browsers. Prior work also outlined that streaming application cac... Read More about A forensic analysis of streaming platforms on Android OS.

Mobilising more women into computing (2022)
Presentation / Conference Contribution
Taylor-Smith, E., Shankland, C., Smith, S., & Barr, M. (2022, December). Mobilising more women into computing. Paper presented at Mobilities in Higher Education: SRHE International Conference 2022, Online

According to HESA data, UK universities' computing departments continue to suffer from a gender imbalance, where at present only 21% of students are female. This imbalance can deter women and non-binary people from applying and also be challenging fo... Read More about Mobilising more women into computing.

Accelerating neural network architecture search using multi-GPU high-performance computing (2022)
Journal Article
Lupión, M., Cruz, N. C., Sanjuan, J. F., Paechter, B., & Ortigosa, P. M. (2023). Accelerating neural network architecture search using multi-GPU high-performance computing. Journal of Supercomputing, 79, 7609-7625. https://doi.org/10.1007/s11227-022-04960-z

Neural networks stand out from artificial intelligence because they can complete challenging tasks, such as image classification. However, designing a neural network for a particular problem requires experience and tedious trial and error. Automating... Read More about Accelerating neural network architecture search using multi-GPU high-performance computing.

Can Gamification Improve User Experience (UX) of Servitization in the Financial and Construction Sector? (2022)
Presentation / Conference Contribution
Khan, M. S., Charissis, V., & Harrison, D. K. (2022, June). Can Gamification Improve User Experience (UX) of Servitization in the Financial and Construction Sector?. Presented at International Conference on Human-Computer Interaction, Online

The monetisation of the provision of consumer services rather than products is advantageous and leads to higher profit margins for the providing companies in comparison to the sole manufacturing of consumer products. This business model has gradually... Read More about Can Gamification Improve User Experience (UX) of Servitization in the Financial and Construction Sector?.

Servitization Through VR Serious Games: From Manufacturing to Consumer Electronics (2022)
Presentation / Conference Contribution
Charissis, V., Khan, M. S., & Harrison, D. K. (2022, June). Servitization Through VR Serious Games: From Manufacturing to Consumer Electronics. Presented at 24th International Conference on Human-Computer Interaction (HCII 2022), Online

The provision of services instead of the actual products is becoming a major area of interest for the products provision companies involved in the manufacturing, electronics and construction industries amongst others. Current work in the disseminatio... Read More about Servitization Through VR Serious Games: From Manufacturing to Consumer Electronics.

Global Review of Smart City Governance Practices (2022)
Report
Beckers, D., Gerli, P., Mora, L., Thabit, S., & Tonnarelli, F. (2022). Global Review of Smart City Governance Practices. Nairobi: United Nations Human Settlements Programme (UN-Habitat)

Through smart city initiatives, digital technologies are increasingly applied in cities to modernize city operations and transform service delivery. The ongoing digital transformation provides new opportunities but also creates challenges, and it is... Read More about Global Review of Smart City Governance Practices.

Preparation of flexible dielectric nanocomposites using nanocellulose and recycled alum sludge for wearable technology applications (2022)
Journal Article
Sun, D., Saw, L., Onyianta, A., O'Rourke, D., Lu, Z., Wilson, C., See, C. H., Popescu, C., Dorris, M., & Shyha, I. (2022). Preparation of flexible dielectric nanocomposites using nanocellulose and recycled alum sludge for wearable technology applications. Materials, Methods & Technologies, 16, 149-159

With the rapid development of wearable technology, flexible dielectric materials with environmental-friendly, low-cost and high-energy efficiency characteristics are in increasing demand. In this work, a flexible dielectric nanocomposite was develope... Read More about Preparation of flexible dielectric nanocomposites using nanocellulose and recycled alum sludge for wearable technology applications.

Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations (2022)
Presentation / Conference Contribution
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (2022, November). Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations. Presented at 24th International Conference on Principles and Practice of Multi-Agent Systems, Valencia, Spain

Cause-effect graphs have been applied in non agent-based simulations, where they are used to model chained causal relations between input parameters and system behaviour measured by appropriate indicators. This can be useful for the analysis and inte... Read More about Multi-Agent Modelling Notation (MAMN): A multi-layered graphical modelling notation for agent-based simulations.