Computer Science
| Title | Computer Science |
|---|---|
| Alternative | S&T - CS |
| Faculty | Faculty of Science and Technology |
Latest research outputs
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Faithful Counterfactual Visual Explanations (FCVE)
Khan, B., Tariq, S., Zia, T., Ahsan, M. and Windridge, D. 2024. Faithful Counterfactual Visual Explanations (FCVE). Knowledge-Based Systems. 294. https://doi.org/10.1016/j.knosys.2024.111668Article
Taxonomy and software architecture for real-time context-aware collaborative smart environments
Bazan-Muñoz, A., Ortiz, G., Augusto, J. C. and Garcia-de-Prado, A. 2024. Taxonomy and software architecture for real-time context-aware collaborative smart environments. Internet of Things. 26. https://doi.org/10.1016/j.iot.2024.101160Article
A novel bio-inspired bat node scheduling algorithm for dependable safety-critical wireless sensor network systems
Al-Nader, I., Lasebae, A., Raheem, R. and Ngondi, G. 2024. A novel bio-inspired bat node scheduling algorithm for dependable safety-critical wireless sensor network systems. Sensors. 24 (6). https://doi.org/10.3390/s24061928Article
Collecting and organizing the influencing factors of team communications to handle nuclear power plant emergencies
Salim, S., Yeom, S. and Ham, D. 2024. Collecting and organizing the influencing factors of team communications to handle nuclear power plant emergencies. Applied Sciences. 14 (4). https://doi.org/10.3390/app14041407Article
Characteristics and circumstances of rail suicides in England 2019-2021: a cluster analysis and autopsy study
Norman, H., Marzano, L., Fields, B., Brown, S., MacDonald Hart, S. and Kruger, I. 2024. Characteristics and circumstances of rail suicides in England 2019-2021: a cluster analysis and autopsy study . Journal of Affective Disorders. 354, pp. 397-407. https://doi.org/10.1016/j.jad.2024.03.020Article
Enhancing individual UAV path planning with Parallel Multi-Swarm Treatment Coronavirus Herd Immunity Optimizer (PMST-CHIO) algorithm
Fouad, A., Abboudi, A., Huyck, C., Gao, X., Bououden, S., Khezami, N. and Shall, H. 2024. Enhancing individual UAV path planning with Parallel Multi-Swarm Treatment Coronavirus Herd Immunity Optimizer (PMST-CHIO) algorithm. IEEE Access. 12, pp. 28395-28416. https://doi.org/10.1109/ACCESS.2024.3367753Article
A novel scheduling algorithm for improved performance of multi-objective safety-critical WSN using spatial self-organizing feature map
Al-Nader, I., Lasebae, A. and Raheem, R. 2024. A novel scheduling algorithm for improved performance of multi-objective safety-critical WSN using spatial self-organizing feature map. Electronics. 13 (1). https://doi.org/10.3390/electronics13010019Article
Introducing distributed ledger security into system specifications with the Isabelle RR-cycle
Kammueller, F. 2024. Introducing distributed ledger security into system specifications with the Isabelle RR-cycle. 28th European Symposium on Research in Computer Security: 2nd International Workshop on System Security Assurance (SecAssure). The Hague, The Netherlands 29 - 29 Sep 2023 Springer. pp. 330-340 https://doi.org/10.1007/978-3-031-54129-2_19Conference paper
FedREVAN: real-time detection of vulnerable Android source code through federated neural network with XAI
Senanayake, J., Kalutarage, H., Petrovski, A., Al-Kadri, M.O. and Piras, L. 2024. FedREVAN: real-time detection of vulnerable Android source code through federated neural network with XAI. ESORICS Workshop on Attacks and Software Protection (WASP). The Hague, The Netherlands 25 - 29 Sep 2023 Springer. pp. 426-441 https://doi.org/10.1007/978-3-031-54129-2_25Conference paper
The LIDAR Harp - the development and evaluation of a new MIDI controller [Presentation]
James-Reynolds, C. and James-Reynolds, J. 2024. The LIDAR Harp - the development and evaluation of a new MIDI controller [Presentation]. Music and Sonic Art: Seeing Sound, Hearing Sight. University of Manchester, UK 28 - 29 Oct 2023Conference item
A new perceptron based neural-network algorithm to enhance the scheduling performance of safety-critical WSNs of increased dependability
Al-Nader, I, Lasebae, A. and Raheem, R. 2024. A new perceptron based neural-network algorithm to enhance the scheduling performance of safety-critical WSNs of increased dependability. So In, C., Londhe, N.D., Bhatt, N. and Kitsing, M. (ed.) 8th World Conference on Information Systems for Business Management. Bangkok, Thailand 07 - 08 Sep 2023 Springer. pp. 347-366 https://doi.org/10.1007/978-981-99-8612-5_28Conference paper
Associative memory with biologically-inspired cell assemblies
Ji, Y., Gamez, D. and Huyck, C. 2024. Associative memory with biologically-inspired cell assemblies. Samsonovich, A.V. and Liu, T. (ed.) 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, the 14th Annual Meeting of the BICA Society (BICA*AI 2023). Ningbo, China 13 - 15 Oct 2023 Springer. pp. 422-428 https://doi.org/10.1007/978-3-031-50381-8_43Conference paper
A proposed permissioned blockchain consensus algorithm: Consensus Algorithm Genetically Enhanced (CAGE)
Mitchell, I. and Maka, K. 2024. A proposed permissioned blockchain consensus algorithm: Consensus Algorithm Genetically Enhanced (CAGE). Jahankhani, H. (ed.) 15th International Conference on Global Security, Safety & Sustainability. Online 11 - 12 Oct 2023 Springer. pp. 51-64 https://doi.org/10.1007/978-3-031-47594-8_3Conference paper
A spiking model of Cell Assemblies: Short term and associative memory
Huyck, C. 2023. A spiking model of Cell Assemblies: Short term and associative memory. Medical Research Archives. 11 (9), pp. 1-20. https://doi.org/10.18103/mra.v11i9.4406Article
Consciousness technology in Black Mirror. Do cookies feel pain?
Gamez, D. and Johnson, D. 2020. Consciousness technology in Black Mirror. Do cookies feel pain? in: Johnson, D. (ed.) Black Mirror and Philosophy WileyBlackwell. pp. 273-281Book chapter
Effects of camera position on perception of self in 360 degree video and virtual environments
Philpot, A. 2017. Effects of camera position on perception of self in 360 degree video and virtual environments. TVX '17: ACM International Conference on Interactive Experiences for TV and Online Video. Hilversum, The Netherlands 14 - 16 Jun 2017 Association for Computing Machinery (ACM). pp. 87-97 https://doi.org/10.1145/3084289.3084290Conference item
Towards the essence of specifying sociotechnical digital twins
Barn, B., Clark, T., Barat, S. and Kulkarni, V. 2023. Towards the essence of specifying sociotechnical digital twins. Agarwal, S., Roychoudhury, A., Purandare, R., Tiwari, S. and Kumar, L. (ed.) ISEC 2023: 16th Innovations in Software Engineering Conference. Prayagraj, Uttar Pradesh, India 23 - 25 Feb 2023 Association for Computing Machinery (ACM). pp. 1-5 https://doi.org/10.1145/3578527.3578542Conference paper
A contrastive model with local factor clustering for semi-supervised few-shot learning
Lin, H., Liu, Y., Shi, D. and Cheng, X. 2023. A contrastive model with local factor clustering for semi-supervised few-shot learning. Mathematics. 11 (15). https://doi.org/10.3390/math11153394Article
Special issue on quantum inspired neural networks for engineering optimization
Pandey, H.M., Layeb, A. and Windridge, D. 2023. Special issue on quantum inspired neural networks for engineering optimization. Neural Processing Letters. 55 (4), pp. 3811-3812. https://doi.org/10.1007/s11063-023-11298-xArticle
A protocol for conducting review on the challenges, opportunities of machine learning in pediatric healthcare
Balla, Y., Tirunagari, S. and Windridge, D. 2023. A protocol for conducting review on the challenges, opportunities of machine learning in pediatric healthcare. INPLASY. https://doi.org/10.37766/inplasy2023.5.0045Other
Automation techniques for smart and sustainable agriculture and its challenges
Misra, T., Anwarul, S., Srivastava, D. and Cheng, X. 2023. Automation techniques for smart and sustainable agriculture and its challenges. Applied and Computational Engineering. 2, pp. 519-528. https://doi.org/10.54254/2755-2721/2/20220673Article
Provectories: embedding-based analysis of interaction provenance data
Walchshofer, C., Hinterreiter, A., Xu, K., Stitz, H. and Streit, M. 2023. Provectories: embedding-based analysis of interaction provenance data. IEEE Transactions on Visualization and Computer Graphics. 29 (12), pp. 4816-4831. https://doi.org/10.1109/tvcg.2021.3135697Article
Improvement of process and outcomes through a STEEPLED analysis of system failures
Siakas, D., Lampropoulos, G., Rahanu, H., Siakas, K., Georgiadou, E. and Ross, M. 2023. Improvement of process and outcomes through a STEEPLED analysis of system failures. Yilmaz, M., Clarke, P., Riel, A. and Messnarz, R. (ed.) EuroSPI 2023: European Conference on Software Process Improvement. Grenoble, France 30 Aug - 01 Sep 2023 Springer. pp. 193-206 https://doi.org/10.1007/978-3-031-42310-9_14Conference paper
Privacy-preserving and fine-grained data sharing for resource-constrained healthcare CPS devices
Bao, Y., Qiu, W. and Cheng, X. 2023. Privacy-preserving and fine-grained data sharing for resource-constrained healthcare CPS devices. Expert Systems. 40 (6). https://doi.org/10.1111/exsy.13220Article
A novel framework for melanoma lesion segmentation using multiparallel depthwise separable and dilated convolutions with swish activations
Bukhari, M., Yasmin, S., Habib, A., Cheng, X., Ullah, F., Yoo, J. and Lee, D. 2023. A novel framework for melanoma lesion segmentation using multiparallel depthwise separable and dilated convolutions with swish activations. Journal of Healthcare Engineering. 2023 (1). https://doi.org/10.1155/2023/1847115Article
Fake news stance detection using selective features and FakeNET
Aljrees, T., Cheng, X., Ahmed, M., Umer, M., Majeed, R., Alnowaiser, K., Abuzinadah, N. and Ashraf, I. 2023. Fake news stance detection using selective features and FakeNET. PLoS ONE. 18 (7). https://doi.org/10.1371/journal.pone.0287298Article
PIGNUS: a deep learning model for IDS in industrial internet-of-things
Jayalaxmi, P., Saha, R., Kumar, G., Alazab, M., Conti, M. and Cheng, X. 2023. PIGNUS: a deep learning model for IDS in industrial internet-of-things. Computers & Security. 132. https://doi.org/10.1016/j.cose.2023.103315Article
Introducing a conceptual model for electronic customer relationship management readiness in the banking sector
Tahmasebi Aria, F. and Dafoulas, G. 2023. Introducing a conceptual model for electronic customer relationship management readiness in the banking sector. International Journal of Business and Technology Management. 5 (2), pp. 127-136. https://doi.org/10.55057/ijbtm.2023.5.2.12Article
Exploring factors affecting mobile government services adoption in the Egyptian context
Elbatanouny, S., Dafoulas, G. and Saleeb, N. 2023. Exploring factors affecting mobile government services adoption in the Egyptian context. Journal of Theoretical and Applied Electronic Commerce Research. 18 (4), pp. 1820-1837. https://doi.org/10.3390/jtaer18040092Article
Resource saving via ensemble techniques for quantum neural networks
Incudini, M., Grossi, M., Ceschini, A., Mandarino, A., Panella, M., Vallecorsa, S. and Windridge, D. 2023. Resource saving via ensemble techniques for quantum neural networks. Quantum Machine Intelligence. 5 (2). https://doi.org/10.1007/s42484-023-00126-zArticle
Hybrid educational environments – using IoT to detect emotion changes during student interactions
Nalli, G., Dafoulas, G., Tsiakara, A., Langari, B., Mistry, K. and Tahmasebi Aria, F. 2023. Hybrid educational environments – using IoT to detect emotion changes during student interactions. Interaction Design and Architecture(s). 58 (1), pp. 39-52. https://doi.org/10.55612/s-5002-058-001Article
Analyzing land cover and land use changes using remote sensing techniques: a temporal analysis of climate change detection with Google Earth engine
Afzal, M., Ali, K., Kasi, M., Rehman, M., Khoshkholghi, A., Haq, B. and Shah, S. 2023. Analyzing land cover and land use changes using remote sensing techniques: a temporal analysis of climate change detection with Google Earth engine. IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications. Exeter, United Kingdom 01 - 03 Nov 2023 IEEE. pp. 2018-2023 https://doi.org/10.1109/TrustCom60117.2023.00277Conference paper
MesoGraph: automatic profiling of malignant mesothelioma subtypes from histological images
Eastwood, M., Sailem, H., Marc, S., Gao, X., Offman, J., Karteris, E., Fernandez, A., Jonigk, D., Cookson, W., Moffatt, M., Popat, S., Minhas, F. and Robertus, J. 2023. MesoGraph: automatic profiling of malignant mesothelioma subtypes from histological images. https://doi.org/10.48550/arxiv.2302.12653Pre-print
Improved bare bones particle swarm optimization based on cauchy distribution and its application in spectral reconstruction
Zhang, X., Cui, G., Ruan, X., Chen, Q., Cui, D., Gao, X. and Yao, Y. 2023. Improved bare bones particle swarm optimization based on cauchy distribution and its application in spectral reconstruction. 8th International Conference on Computational Intelligence and Applications. Haikou, China 23 - 25 Jun 2023 IEEE. https://doi.org/10.1109/iccia59741.2023.00029Conference paper
Explainable AI for colorectal lesion classification using deep learning models with attention mechanism
Auzine, M., Heenaye-Mamode Khan, M., Baichoo, S., Bissoonauth-Daiboo, P., Heetun, Z. and Gao, X. 2023. Explainable AI for colorectal lesion classification using deep learning models with attention mechanism. 7th International Conference on Advances in Artificial Intelligence. Istanbul, Turkey 13 - 15 Oct 2023 Association for Computing Machinery (ACM). pp. 117–121 https://doi.org/10.1145/3633598.3633617Conference paper
Endoscopic image classification using vision transformers
Bissoonauth-Daiboo, P., Heenaye-Mamode Khan, M., Auzine, M., Gao, X., Baichoo, S. and Heetun, Z. 2023. Endoscopic image classification using vision transformers. 7th International Conference on Advances in Artificial Intelligence. Istanbul, Turkey 13 - 15 Oct 2023 Association for Computing Machinery (ACM). pp. 128–132 https://doi.org/10.1145/3633598.3633623Conference paper
Classification of gastrointestinal cancer through explainable AI and ensemble learning
Auzine, M., Khan, M., Baichoo, S., Sahib, N., Gao, X. and Bissoonauth-Daiboo, P. 2023. Classification of gastrointestinal cancer through explainable AI and ensemble learning. 6th International Conference of Women in Data Science at Prince Sultan University. Riyadh, Saudi Arabia 14 - 15 Mar 2023 IEEE. pp. 195-200 https://doi.org/10.1109/wids-psu57071.2023.00048Conference paper
Predict market fluctuations based on the TSI and the sentiment of financial video news sites via machine learning
Alzazah, F., Gao, X. and Cheng, X. 2023. Predict market fluctuations based on the TSI and the sentiment of financial video news sites via machine learning. 15th International Conference on Computer and Automation Engineering. Sydney, Australia 03 - 05 Mar 2023 IEEE. https://doi.org/10.1109/iccae56788.2023.10111493Conference paper
Interactive machine learning framework for predicting non-performing bank loans
Azeta, A., Nwaocha, V., Shofadekan, S., Tjiraso, S. and Oluwagbemi, O. 2023. Interactive machine learning framework for predicting non-performing bank loans. 2nd International Conference on Information Systems and Emerging Technologies. Namibia University of Science and Technology 17 - 19 Oct 2023 SSRN. https://doi.org/10.2139/ssrn.4647744Conference paper
Smart infrastructures: Artificial Intelligence-Enabled lifecycle automation
Fortuna, C., Yetgin, H. and Mohorčič, M. 2023. Smart infrastructures: Artificial Intelligence-Enabled lifecycle automation. IEEE Industrial Electronics Magazine. 17 (2), pp. 37-47. https://doi.org/10.1109/MIE.2022.3165673Article
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