Computer Science
| Title | Computer Science |
|---|---|
| Alternative | S&T - CS |
| Faculty | Faculty of Science and Technology |
Latest research outputs
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Reconsidering a sustainable future through artificial intelligence of things (AIoT) in the context of circular economy
Lampropoulos, G., Rahanu, H., Georgiadou, E., Siakas, D. and Siakas, K. 2024. Reconsidering a sustainable future through artificial intelligence of things (AIoT) in the context of circular economy. in: Misra, S., Siakas, K. and Lampropoulos, G. (ed.) Artificial Intelligence of Things for Achieving Sustainable Development Goals Cham, Switzerland Springer. pp. 1-20Book chapter
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
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 EPIA 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 paper
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). 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: The Quarterly of Human Factors Applications. 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
A tamper-resistant broadcasting scheme for secure communication in internet of autonomous vehicles
Sun, J., Tao, J., Zhang, H., Zhao, Y., Nie, L., Cheng, X. and Zhang, T. 2024. A tamper-resistant broadcasting scheme for secure communication in internet of autonomous vehicles. IEEE Transactions on Intelligent Transportation Systems. 25 (3), pp. 2837-2846. https://doi.org/10.1109/TITS.2023.3265403Article
Guest editorial to the special section on PoEM'2022
Barn, B., Sandkuhl, K., Barat, S. and Clark, T. 2024. Guest editorial to the special section on PoEM'2022. Software and Systems Modeling. 23, pp. 833-835. https://doi.org/10.1007/s10270-024-01189-7Article
Interpretable machine learning for predicting multiple sclerosis conversion from clinically isolated syndrome
Daniel, E.C., Tirunagari, S., Batth, K., Windridge, D. and Balla, Y. 2024. Interpretable machine learning for predicting multiple sclerosis conversion from clinically isolated syndrome. https://doi.org/10.1101/2024.07.18.24310578Pre-print
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 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. 1-8 https://doi.org/10.1145/3664476.3670928Conference 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. 31 (3), pp. 1-41. https://doi.org/10.1145/3660342Article
Generating data in an intelligent environment and systematically predicting user activity via bluetooth low energy beacons and machine learning
Benedict. S., Augusto, J. and Kacar. O. 2024. Generating data in an intelligent environment and systematically predicting user activity via bluetooth low energy beacons and machine learning. Hornos, M., Slapničar, G. and Yu, J. (ed.) 20th International Conference on Intelligent Environments (IE2024). Ljubljana, Slovenia 17 - 20 Jun 2024 IOS Press. pp. 158-163 https://doi.org/10.3233/AISE240030Conference paper
Gaining insight into user behaviour and systematically determing user location via Bluetooth low energy beacon optimisation
Benedict, S., Augusto, J. and Kacar. O. 2024. Gaining insight into user behaviour and systematically determing user location via Bluetooth low energy beacon optimisation. 20th International Conference on Intelligent Environments (IE2024). Ljubljana, Slovenia 17 - 20 Jun 2024 IEEE. https://doi.org/10.1109/IE61493.2024.10599920Conference paper
Towards engineering higher quality intelligent environments: a multi case study approach
Santokhee, A., Augusto, J. and Brodie, L. 2024. Towards engineering higher quality intelligent environments: a multi case study approach. Software Quality Journal. 32 (3), pp. 1075-1135. https://doi.org/10.1007/s11219-024-09678-0Article
Gamification of E-Learning apps via acceptance requirements analysis
Calabrese, L., Piras, L., Al-Obeidallah, M., Egbikuadje, B. and Alkubaisy, D. 2024. Gamification of E-Learning apps via acceptance requirements analysis. 19th International Conference on Evaluation of Novel Approaches to Software Engineering. Angers, France 28 - 29 Apr 2024 SCITEPRESS - Science and Technology Publications. pp. 291-298 https://doi.org/10.5220/0012550400003687Conference paper
Dissecting the hype: a study of WallStreetBets’ sentiment and network correlation on financial markets
Wang, K, Wong, B, Khoshkholghi, A., Shah, P., Naha, R, Mahanti, A and Kim, J 2024. Dissecting the hype: a study of WallStreetBets’ sentiment and network correlation on financial markets. 38th International Conference on Advanced Information Networking and Applications. Kitakyushu, Japan 17 - 19 Apr 2024 Springer. pp. 263-273 https://doi.org/10.1007/978-3-031-57853-3_22Conference paper
Spectral reflectance reconstruction based on wideband multi-illuminant imaging and a modified particle swarm optimization algorithm
Zhang, X., Cui, G., Ruan, X., Cui, D., Gao, X., Chen, Q., Yao, Y., Melgosa, M. and Sueeprasan, S. 2024. Spectral reflectance reconstruction based on wideband multi-illuminant imaging and a modified particle swarm optimization algorithm. Optics Express. 32 (3), pp. 2942-2958. https://doi.org/10.1364/OE.506136Article
A proposal for extending the Common Model of Cognition to emotion [Presentation]
Rosenbloom, P., Laird, J., Lebiere, C., Stocco, A., Granger, R. and Huyck, C. 2024. A proposal for extending the Common Model of Cognition to emotion [Presentation]. 22nd International Conference on Cognitive Modeling. Tilburg University, the Netherlands 19 - 22 Jul 2024 Society for Mathematical Psychology.Conference item
Paving the path: empowering women in STEM from university to industry
Vaka, S., Trestian, R., Baskent, C., Shayesteh, H. and Megeney, A. 2024. Paving the path: empowering women in STEM from university to industry. 2024 IEEE Global Engineering Education Conference. Kos, Greece 08 - 11 May 2024 IEEE. https://doi.org/10.1109/EDUCON60312.2024.10578684Conference paper
VALD-MD: visual attribution via latent diffusion for medical diagnostics
Siddiqui, A., Tirunagari, S., Zia, T. and Windridge, D. 2024. VALD-MD: visual attribution via latent diffusion for medical diagnostics. https://doi.org/10.48550/arxiv.2401.01414Pre-print
An evolutionary approach to automated class-specific data augmentation for image classification
Marc, S., Belavkin, R., Windridge, D. and Gao, X. 2024. An evolutionary approach to automated class-specific data augmentation for image classification. Moosaei, H., Hladík, M. and Pardalos, P. (ed.) 6th International Conference on the Dynamics of Information Systems. Prague, Czech Republic 03 - 06 Dec 2023 Springer. pp. 170–185 https://doi.org/10.1007/978-3-031-50320-7_12Conference paper
An in-silico analysis of OGT gene association with diabetes mellitus
Ayodele, O., Udosen, B., Oluwagbemi, O., Oladipo, E., Omotuyi, I., Isewon, I., Nash, O., Soremekun, O. and Fatumo, F. 2024. An in-silico analysis of OGT gene association with diabetes mellitus. BMC Research Notes. 17. https://doi.org/10.1186/s13104-024-06744-5Article
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