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Outputs (3503)

Digital Twin Enriched Green Topology Discovery for Next Generation Core Networks (2023)
Journal Article
Duran, K., & Canberk, B. (2023). Digital Twin Enriched Green Topology Discovery for Next Generation Core Networks. IEEE Transactions on Green Communications and Networking, 7(4), 1946 - 1956. https://doi.org/10.1109/tgcn.2023.3282326

Topology discovery is the key function of core network management since it utilizes the perception of data and mapping network devices. Nevertheless, it holds operational and resource efficiency complexities. For example, traditional discovery cannot... Read More about Digital Twin Enriched Green Topology Discovery for Next Generation Core Networks.

A Novel Federated Learning Scheme for Generative Adversarial Networks (2023)
Journal Article
Zhang, J., Zhao, L., Yu, K., Min, G., Al-Dubai, A., & Zomya, A. (2024). A Novel Federated Learning Scheme for Generative Adversarial Networks. IEEE Transactions on Mobile Computing, 23(5), 3633-3649. https://doi.org/10.1109/tmc.2023.3278668

Generative adversarial networks (GANs) have been advancing and gaining tremendous interests from both academia and industry. With the development of wireless technologies, a huge amount of data generated at the network edge provides an unprecedented... Read More about A Novel Federated Learning Scheme for Generative Adversarial Networks.

An exploration of diversity in Embodied Music Interaction (2023)
Presentation / Conference Contribution
Di Donato, B. (2023, May). An exploration of diversity in Embodied Music Interaction. Presented at CHIME: Music Interaction and Physical Disability, University of Edinburgh, Edinburgh

This is an exploration of diversity in Embodied Music Interaction through three case studies entitled (i) Accessible interactive digital signage for the visually impaired, (ii) Human-Sound Interaction and (iii) BSL in Embodied Music Interaction (EMI)... Read More about An exploration of diversity in Embodied Music Interaction.

Evolved Open-Endedness in Cultural Evolution: A New Dimension in Open-Ended Evolution Research (2023)
Journal Article
Borg, J. M., Buskell, A., Kapitany, R., Powers, S. T., Reindl, E., & Tennie, C. (2024). Evolved Open-Endedness in Cultural Evolution: A New Dimension in Open-Ended Evolution Research. Artificial Life, 30(3), 417-438. https://doi.org/10.1162/artl_a_00406

The goal of Artificial Life research, as articulated by Chris Langton, is “to contribute to theoretical biology by locating life-as-we-know-it within the larger picture of life-as-it-could-be” (1989, p. 1). The study and pursuit of open-ended evoluti... Read More about Evolved Open-Endedness in Cultural Evolution: A New Dimension in Open-Ended Evolution Research.

NCC: Neural concept compression for multilingual document recommendation (2023)
Presentation / Conference Contribution
Tashu, T. M., Lenz, M., & Horváth, T. NCC: Neural concept compression for multilingual document recommendation

In this work, we propose a novel method for generating inter-lingual document representations using neural network concept compression. The presented approach is intended to improve the quality of content-based multilingual document recommendation an... Read More about NCC: Neural concept compression for multilingual document recommendation.

CoBRA without experts: New paradigm for software development effort estimation using COCOMO metrics (2023)
Journal Article
Feizpour, E., Tahayori, H., & Sami, A. (2023). CoBRA without experts: New paradigm for software development effort estimation using COCOMO metrics. Journal of Software: Evolution and Process, 35(12), Article e2569. https://doi.org/10.1002/smr.2569

Software development effort estimation (SDEE) is a critical activity in developing software. Accurate effort estimation in the early phases of software design life cycle has important effects on the success of software projects. COCOMO (Constructive... Read More about CoBRA without experts: New paradigm for software development effort estimation using COCOMO metrics.

Global Trend in Retrofitting Using Smart Technology: A Scientometric Review (2023)
Presentation / Conference Contribution
Ejidike, C., Mewomo, M., & Olawumi, T. O. (2022, July). Global Trend in Retrofitting Using Smart Technology: A Scientometric Review. Presented at 12th CIDB Conference on 'Towards a sustainable construction industry: The role of innovation and digitalisation', East London, South Africa

Retrofitting an existing structure enhances its energy efficiency, aesthetic appearance, and thermal comfort while also reducing the building’s energy costs. Buildings account for 40% of global energy consumption, which is al-so responsible for CO2 e... Read More about Global Trend in Retrofitting Using Smart Technology: A Scientometric Review.

Blockchain for Cybersecurity in Cyber-Physical Systems (2023)
Book
Maleh, Y., Alazab, M., & Romdhani, I. (Eds.). (2023). Blockchain for Cybersecurity in Cyber-Physical Systems. Springer. https://doi.org/10.1007/978-3-031-25506-9

This book offers the latest research results on blockchain technology and its application for cybersecurity in cyber-physical systems. It presents crucial issues in this field and provides a sample of recent advances and insights into the research pr... Read More about Blockchain for Cybersecurity in Cyber-Physical Systems.

Are there any gains in green-tech adoption? Unearthing the beneficial outcomes of smart-sustainable practices in Nigeria and Hong Kong built environment (2023)
Journal Article
Olawumi, T. O., Chan, D. W., Saka, A. B., Ekundayo, D., & Odeh, A. O. (2023). Are there any gains in green-tech adoption? Unearthing the beneficial outcomes of smart-sustainable practices in Nigeria and Hong Kong built environment. Journal of Cleaner Production, 410, Article 137280. https://doi.org/10.1016/j.jclepro.2023.137280

Implementing Smart-sustainable practices (SSP) is crucial to achieving environmentally-friendly buildings and cities. Adequate awareness and understanding of its benefits and impacts are essential for maximizing its implementation. Hence, this study... Read More about Are there any gains in green-tech adoption? Unearthing the beneficial outcomes of smart-sustainable practices in Nigeria and Hong Kong built environment.

FitForensics: A Tool to Acquire Data from FIT-Compatible Wearables via the USB Mass Storage Interface (2023)
Journal Article
Perry, S., Levick, D., & Mckeown, S. (in press). FitForensics: A Tool to Acquire Data from FIT-Compatible Wearables via the USB Mass Storage Interface. Journal of Digital Forensics, Security and Law,

Wearable and fitness tracking devices are commonplace, with global shipments forecast to continue rising in the future. These devices store a wealth of personal data that is useful to the forensic examiner. However, due to device fragmentation, acqui... Read More about FitForensics: A Tool to Acquire Data from FIT-Compatible Wearables via the USB Mass Storage Interface.

A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection (2023)
Preprint / Working Paper
Lazzarini, R., Tianfield, H., & Charissis, V. A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection

The number of Internet of Things (IoT) devices has increased considerably inthe past few years, which resulted in an exponential growth of cyber attackson IoT infrastructure. As a consequence, the prompt detection of attacks inIoT environments throug... Read More about A Stacking Ensemble of Deep Learning Models for IoT Network Intrusion Detection.

A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms (2023)
Presentation / Conference Contribution
Montague, K., Hart, E., Paechter, B., & Nitschke, G. (2023, April). A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms. Presented at EVOStar 2023, Brno, Czechia

Designing controllers for a swarm of robots such that collabo-rative behaviour emerges at the swarm level is known to be challenging. Evolutionary approaches have proved promising, with attention turning more recently to evolving repertoires of dive... Read More about A Quality-Diversity Approach to Evolving a Repertoire of Diverse Behaviour-Trees in Robot Swarms.

Improving the size and quality of MAP-Elites containers via multiple emitters and decoders for urban logistics (2023)
Presentation / Conference Contribution
Urquhart, N., & Hart, E. (2023, April). Improving the size and quality of MAP-Elites containers via multiple emitters and decoders for urban logistics. Presented at Evo Applications 2023, Brno, Czech Republic

Quality-diversity (QD) methods such as MAP-Elites have been demonstrated to be useful in the domain of combinatorial optimisation due to their ability to generate a large set of solutions to a single-objective problem that are diverse with respect to... Read More about Improving the size and quality of MAP-Elites containers via multiple emitters and decoders for urban logistics.

Conditions, Actions and Purposes (CAP): A Dynamic Model for Community Policing in Europe (2023)
Journal Article
O’Neill, M., van der Giessen, M., Bayerl, P. S., Hail, Y., Aston, E., & Houtsonen, J. (2023). Conditions, Actions and Purposes (CAP): A Dynamic Model for Community Policing in Europe. Policing, 17, https://doi.org/10.1093/police/paad014

Despite its popularity as a policing method and evidence of its positive affect on communities, community policing has defied attempts to establish a clear definition and replicable form. Often regarded as an Anglo-American policing method in origin,... Read More about Conditions, Actions and Purposes (CAP): A Dynamic Model for Community Policing in Europe.

Hamming Distributions of Popular Perceptual Hashing Techniques (2023)
Journal Article
McKeown, S., & Buchanan, W. J. (2023). Hamming Distributions of Popular Perceptual Hashing Techniques. Forensic Science International: Digital Investigation, 44(Supplement), Article 301509. https://doi.org/10.1016/j.fsidi.2023.301509

Content-based file matching has been widely deployed for decades, largely for the detection of sources of copyright infringement, extremist materials, and abusive sexual media. Perceptual hashes, such as Microsoft's PhotoDNA, are one automated mechan... Read More about Hamming Distributions of Popular Perceptual Hashing Techniques.

Designing useful conversational interfaces for information retrieval in career decision-making support (2023)
Presentation / Conference Contribution
Wilson, M. (2023, April). Designing useful conversational interfaces for information retrieval in career decision-making support. Presented at 45th European Conference on Information Retrieval (ECIR) 2023, Dublin, Ireland

The proposed research is an interdisciplinary problem-focused study that takes a human-focused approach to explore the usefulness of screen-based conversational information retrieval (CIR) in a complex domain. A research-through-design methodology wi... Read More about Designing useful conversational interfaces for information retrieval in career decision-making support.

DIGNEA: A tool to generate diverse and discriminatory instance suites for optimisation domains (2023)
Journal Article
Marrero, A., Segredo, E., León, C., & Hart, E. (2023). DIGNEA: A tool to generate diverse and discriminatory instance suites for optimisation domains. SoftwareX, 22, Article 101355. https://doi.org/10.1016/j.softx.2023.101355

To advance research in the development of optimisation algorithms, it is crucial to have access to large test-beds of diverse and discriminatory instances from a domain that can highlight strengths and weaknesses of different algorithms. The DIGNEA t... Read More about DIGNEA: A tool to generate diverse and discriminatory instance suites for optimisation domains.