Computer Science
| Title | Computer Science |
|---|---|
| Alternative | S&T - CS |
| Faculty | Faculty of Science and Technology |
Latest research outputs
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Signature-based security analysis and detection of IoT threats in advanced message queuing protocol
Hashimyar, M.E., Aiash, M., Khoshkholghi, A. and Nalli, G. 2025. Signature-based security analysis and detection of IoT threats in advanced message queuing protocol. Network. 5 (1). https://doi.org/10.3390/network5010005Article
A digital twin framework with MobileNetV2 for damage detection in slab structures
Nguyen, D.H., Nguyen, H. and Gao, X. 2025. A digital twin framework with MobileNetV2 for damage detection in slab structures. Fracture and Structural Integrity. 19 (72), pp. 121-136. https://doi.org/10.3221/igf-esis.72.09Article
A latent diffusion approach to visual attribution in medical imaging
Siddiqui, A.A., Tirunagari, S., Zia, T. and Windridge, D. 2025. A latent diffusion approach to visual attribution in medical imaging. Scientific Reports. 15 (1). https://doi.org/10.1038/s41598-024-81646-xArticle
Generative artificial intelligence (AI): a key innovation or just hype in primary care settings?
Rahmanti, A.R., Iqbal, U., Reddy, S., Gao, X.W., Nguyen, H.X. and Li, Y.-C.J. 2024. Generative artificial intelligence (AI): a key innovation or just hype in primary care settings? BMJ Health & Care Informatics. 31 (1). https://doi.org/10.1136/bmjhci-2024-101367Article
Evaluating the effectiveness of a collaborative framework on student learning
Zammit, O., Smith, S. and De Raffaele, C. 2024. Evaluating the effectiveness of a collaborative framework on student learning. 2024 International Conference on Machine Learning and Artificial Intelligence. Edinburgh, UK 21 - 23 Oct 2024 Pages Conferences.Conference item
Optimising student internet navigation: a comparative analysis of machine learning algorithms for action prediction
Zammit, O., Smith, S. and De Raffaele, C. 2024. Optimising student internet navigation: a comparative analysis of machine learning algorithms for action prediction. The Future of Education - 14th Edition International Conference. Florence, Italy 20 - 21 Jun 2024 Filodiritto Editore.Conference paper
Adaptive PMME medium access control protocol for multi-event IoT sensor networks
Hang, N.T.T., Nguyen, H. and Smith, S. 2024. Adaptive PMME medium access control protocol for multi-event IoT sensor networks. 7th International Conference on Advanced Communication Technologies and Networking (CommNet). Rabat, Morocco 04 - 07 Dec 2024 IEEE. https://doi.org/10.1109/CommNet63022.2024.10793281Conference paper
A grand entrance without a blueprint: a critical analysis of the Right to Explanation in Article 86 of the European Union Artificial Intelligence Act
Nnawuchi, U. and George, C. 2024. A grand entrance without a blueprint: a critical analysis of the Right to Explanation in Article 86 of the European Union Artificial Intelligence Act. AIRe – Journal of AI Law and Regulation. 1 (4), pp. 402-419. https://doi.org/10.21552/aire/2024/4/6Article
Accelerating material discovery for CdTe solar cells using knowledge intense word embeddings
Liu, X., Barth, K., Windridge, D. and Xu, K. 2024. Accelerating material discovery for CdTe solar cells using knowledge intense word embeddings. 52nd Photovoltaic Specialist Conference. Seattle, WA, USA 09 - 14 Jun 2024 IEEE. pp. 0281-0283 https://doi.org/10.1109/pvsc57443.2024.10749288Conference paper
The sustainable configuration optimisation of office multi-angled façade systems
Hannoudi, L., Saleeb, N. and Dafoulas, G. 2024. The sustainable configuration optimisation of office multi-angled façade systems. Energies. 17 (21), p. 5295. https://doi.org/10.3390/en17215295Article
A taxonomy of knowledge management systems in the micro-enterprise
Hall, S.J., Smith, S., Baskent, C. and De Raffaele, C. 2024. A taxonomy of knowledge management systems in the micro-enterprise. International Journal of Operations Management. 4 (1), pp. 7-20. https://doi.org/10.18775/ijom.2757-0509.2020.41.4001Article
Overcoming obstacles in global requirements elicitation: a multicultural perspective
Siakas, K., Georgiadou, E., Rahanu, H., Siakas, E., Meggoudis, N. and Siakas, D. 2024. Overcoming obstacles in global requirements elicitation: a multicultural perspective. Journal of Software Engineering Research and Development. 12 (1), pp. 6:1-6:27. https://doi.org/10.5753/jserd.2024.2552Article
Orwellian odyssey: smart borders and the imperative for explainability
Nnawuchi, U. and George, C. 2024. Orwellian odyssey: smart borders and the imperative for explainability. Farhaoui, Y., Herawan, T., Imoize, A.L. and El Allaoui, A. (ed.) 6th International Conference on Artificial Intelligence and Smart Environments. Errachidia, Morocco 07 - 09 Nov 2024 Springer.Conference paper
Quantum enhanced knowledge distillation
Simone, P., Lavagna, L., De Falco, F,, Ceschini, A., Rosato, A., Windridge, D. and Panella, M. 2024. Quantum enhanced knowledge distillation. Quantum Techniques in Machine Learning 2024 Conference. Melbourne, Australia 24 - 29 Nov 2024Conference item
Assuring privacy of AI-powered community driven Android code vulnerability detection
Senanayake, J., Kalutarage, H., Piras, L., Al-Kadri, M.O. and Petrovski, A. 2024. Assuring privacy of AI-powered community driven Android code vulnerability detection. 3rd International Workshop on System Security Assurance. Bydgoszcz, Poland 19 - 20 Sep 2024 Springer.Conference paper
Formalizing federated learning and differential privacy for GIS systems in IIIf
Kammueller, F., Piras, L., Fields, B. and Nagarajan, R. 2024. Formalizing federated learning and differential privacy for GIS systems in IIIf. 3rd International Workshop on System Security Assurance. Bydgoszcz, Poland 19 - 20 Sep 2024 Springer.Conference paper
Transparency vs explanation of machine learning algorithms: perspectives from recent legal proceedings
Nnawuchi, U., George, C. and Kammueller, F. 2024. Transparency vs explanation of machine learning algorithms: perspectives from recent legal proceedings. Santos M., Machado, J., Novais, P., Cortez, P. and Moreira, P. (ed.) 23rd International Conference on Artificial Intelligence. Viana do Castelo, Portugal 03 - 06 Sep 2024 Springer. pp. 270-283 https://doi.org/10.1007/978-3-031-73497-7_22Conference item
Playing games with diagrams: truth diagrams and game semantics
Baskent, C. 2024. Playing games with diagrams: truth diagrams and game semantics. Lemanski, J., Johansen, M.W., Manalo, E., Viana, P., Bhattacharjee, R. and Burns, R. (ed.) 14th International Conference on Theory and Application of Diagrams. Münster, Germany 27 Sep - 01 Oct 2024 Cham Springer. pp. 300-315 https://doi.org/10.1007/978-3-031-71291-3_24Conference paper
Analyzing docker vulnerabilities through static and dynamic methods and enhancing IoT security with AWS IoT Core, CloudWatch, and GuardDuty
Ajith, V., Cyriac, T., Chavda, C., Kiyani, A.T., Chennareddy, V. and Ali, K. 2024. Analyzing docker vulnerabilities through static and dynamic methods and enhancing IoT security with AWS IoT Core, CloudWatch, and GuardDuty. IoT. 5 (3), pp. 592-607. https://doi.org/10.3390/iot5030026Article
Quasi Biologically Plausible Category Learning
Huyck, C. 2024. Quasi Biologically Plausible Category Learning. Bramer, M. and Stahl, F. (ed.) 44th SGAI International Conference on Artificial Intelligence, AI 2024. Cambridge, UK 17 - 19 Dec 2024 Springer. pp. 33-46 https://doi.org/10.1007/978-3-031-77915-2_3Conference paper
Study of a novel 3D façade configuration and its impact on energy performance and office space sustainability
Hannoudi, L., Saleeb, N. and Dafoulas, G. 2024. Study of a novel 3D façade configuration and its impact on energy performance and office space sustainability. Energies. 17 (17), p. 4420. https://doi.org/10.3390/en17174420Article
Developing a secure service ecosystem to implement the intelligent edge environment for smart cities
Karthick, G. and Mapp, G. 2024. Developing a secure service ecosystem to implement the intelligent edge environment for smart cities. Future Internet. 16 (9). https://doi.org/10.3390/fi16090317Article
Designing for learnability: improvement through layered interfaces
Forsey, H., Leahy, D., Fields, B., Minocha, S., Attfield, S. and Snell, T. 2024. Designing for learnability: improvement through layered interfaces. Ergonomics in Design. https://doi.org/10.1177/10648046241273291Article
Addressing the interoperability of electronic health records: the technical and semantic interoperability, preserving privacy and security framework
Ademola, A., George, C. and Mapp, G. 2024. Addressing the interoperability of electronic health records: the technical and semantic interoperability, preserving privacy and security framework. Applied System Innovation. 7 (6). https://doi.org/10.3390/asi7060116Article
Enhancing digital forensics readiness in big data wireless medical networks: A secure decentralised framework
Mpungu, C, George, C. and Mapp, G. 2024. Enhancing digital forensics readiness in big data wireless medical networks: A secure decentralised framework. International Journal of Network Security & Its Applications (IJNSA) . 16 (4), pp. 13-30. https://doi.org/10.5121/ijnsa.2024.16402Article
Digital forensics readiness in big data networks: a novel framework and incident response script for Linux-Hadoop environments
Mpungu, C., George, C. and Mapp, G. 2024. Digital forensics readiness in big data networks: a novel framework and incident response script for Linux-Hadoop environments. Applied System Innovation. 7 (5). https://doi.org/10.3390/asi7050090Article
Model-based gamification design with Web-Agon: an automated analysis tool for gamification
Zaw, H.K., Piras, L., Calabrese, F. and Al-Obeidallah, M.G. 2024. Model-based gamification design with Web-Agon: an automated analysis tool for gamification. 50th Euromicro Conference Series on Software Engineering and Advanced Applications. Paris, France 28 - 30 Aug 2024 IEEE. pp. 168-171 https://doi.org/10.1109/SEAA64295.2024.00033Conference paper
Development of an ensemble CNN model with explainable AI for the classification of gastrointestinal cancer
Auzine, M., Heenaye-Mamode Khan, M., Baichoo, S., Gooda Sahib, N., Bissoonauth-Daiboo, P., Gao, X. and Heetun, Z. 2024. Development of an ensemble CNN model with explainable AI for the classification of gastrointestinal cancer. PLoS ONE. 19 (6), p. e0305628. https://doi.org/10.1371/journal.pone.0305628Article
Establishing hybrid deep learning models for regional daily rainfall time series forecasting in the United Kingdom
Harilal, G.T., Dixit, A. and Quattrone, G. 2024. Establishing hybrid deep learning models for regional daily rainfall time series forecasting in the United Kingdom. Engineering Applications of Artificial Intelligence. 133 (F). https://doi.org/10.1016/j.engappai.2024.108581Article
Truth diagrams for some non-classical and modal logics
Baskent, C. 2024. Truth diagrams for some non-classical and modal logics. Journal of Applied Non-Classical Logics. 34 (4), pp. 527-560. https://doi.org/10.1080/11663081.2024.2366752Article
A logic of isolation
Baskent, C., Gilbert, D. and Venturi, G. 2024. A logic of isolation. Metcalfe, G., Studer, T. and de Queiroz, R. (ed.) 30th International Workshop on Logic, Language, Information, and Computation. Bern, Switzerland 10 - 13 Jun 2024 Cham Springer. pp. 36-46 https://doi.org/10.1007/978-3-031-62687-6_3Conference paper
Investigating the factors affecting electronic customer relationship management readiness: the case of banks
Tahmasebi Aria, F., Dafoulas, G. and Langari, B. 2024. Investigating the factors affecting electronic customer relationship management readiness: the case of banks. International Journal of Management Technology . 11 (2), pp. 1-20. https://doi.org/10.37745/ijmt.2013/vol11n220Article
Parameter tuning of the Firefly Algorithm by standard Monte Carlo and Quasi-Monte Carlo methods
Joy, G., Huyck, C. and Yang, X. 2024. Parameter tuning of the Firefly Algorithm by standard Monte Carlo and Quasi-Monte Carlo methods. Franco, L., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V., Dongarra, J. and Sloot, P. (ed.) 24th International Conference on Computational Science. Malaga, Spain 02 - 04 Jul 2024 Cham Springer. pp. 242–253 https://doi.org/10.1007/978-3-031-63775-9_17Conference paper
NOVESHIA: novel smart health informatics architecture to cater for the emotional and mental wellbeing of England NHS workers in the United Kingdom
Oluwagbemi, O., Barretto, S. and Isafiade, O. 2024. NOVESHIA: novel smart health informatics architecture to cater for the emotional and mental wellbeing of England NHS workers in the United Kingdom. Hornos, M., Slapničar, G. and Yu, J. (ed.) 20th International Conference on Intelligent Environments (IE2024). Ljubljana, Slovenia 17 - 20 Jun 2024 Slovenia IOS Press. pp. 68-77 https://doi.org/10.3233/AISE240016Conference paper
Online application for the early detection of students at risk of failing through Artificial Intelligence
Nalli, G., Marconi, A., Karakatič, S., Brezočnik, L., Montagna, A., Amendola, D. and De Leone, R. 2024. Online application for the early detection of students at risk of failing through Artificial Intelligence. Minerva, T. and De Santis, A. (ed.) 2023 Italian Symposium on Digital Education. Reggio Emilia, Italy 13 - 15 Sep 2023 Pearson. pp. 56-62Conference paper
Blockchain in e-learning platform to enhance trustworthy and sharing of micro-credentials
Bigiotti, A., Bottoni, M. and Nalli, G. 2024. Blockchain in e-learning platform to enhance trustworthy and sharing of micro-credentials. 36th International Conference on Advanced Information Systems Engineering Workshops. Limassol, Cyprus 03 - 07 Jun 2024 Cham, Switzerland. Springer. https://doi.org/10.1007/978-3-031-61003-5_1Conference paper
Analyzing air-traffic security using GIS-``blur'' with information flow control in the IIIf
Kammueller, F. 2024. Analyzing air-traffic security using GIS-``blur'' with information flow control in the IIIf. 19th International Conference on Availability, Reliability and Security. Vienna, Austria 30 Jul - 02 Aug 2024 New York, NY Association for Computing Machinery (ACM). pp. 68 https://doi.org/10.1145/3664476Conference paper
Defendroid: real-time Android code vulnerability detection via blockchain federated neural network with XAI
Senanayake, L., Kalutarage, H., Petrovski, A., Piras, L. and Al-Kadri, M. 2024. Defendroid: real-time Android code vulnerability detection via blockchain federated neural network with XAI. Journal of Information Security and Applications. 82. https://doi.org/10.1016/j.jisa.2024.103741Article
Energy efficiency optimisation of joint computational task offloading and resource allocation using particle swarm optimisation approach in vehicular edge networks
Alam, A., Shah, P., Trestian, R., Ali, K. and Mapp, G. 2024. Energy efficiency optimisation of joint computational task offloading and resource allocation using particle swarm optimisation approach in vehicular edge networks. Sensors. 24 (10). https://doi.org/10.3390/s24103001Article
‘We’re not that gullible!’ Revealing dark pattern mental models of 11-12 year-old Scottish children
Renaud, K., Sengal, C., Coopamootoo, K., Clift, B., Taylor, J., Springett, M. and Morrison, B 2024. ‘We’re not that gullible!’ Revealing dark pattern mental models of 11-12 year-old Scottish children. ACM Transactions on Computer-Human Interaction. https://doi.org/10.1145/3660342Article
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