Computer Science
| Title | Computer Science |
|---|---|
| Alternative | S&T - CS |
| Faculty | Faculty of Science and Technology |
Latest research outputs
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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 2024Conference 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 2024Conference paper
A proposal for extending the Common Model of Cognition to emotion
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. 22nd International Conference on Cognitive Modeling. Tilburg University, the Netherlands 19 - 22 Jul 2024Conference paper
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. IEEE Global Engineering Education Conference. Kos, Greece 08 - 11 May 2024 IEEE.Conference 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
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. 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
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
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. 426-441Conference 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
Digital exclusion and relative digital deprivation: Exploring factors and moderators of internet non-use in the UK
Ueno, A., Dennis, C. and Dafoulas, G. 2023. Digital exclusion and relative digital deprivation: Exploring factors and moderators of internet non-use in the UK. Technological Forecasting and Social Change. 197. https://doi.org/10.1016/j.techfore.2023.122935Article
Building an intelligent edge environment to provide essential services in smart cities
Karthick, G., Mapp, G. and Crowcroft, J. 2023. Building an intelligent edge environment to provide essential services in smart cities. 18th Workshop on Mobility in the Evolving Internet Architecture . Madrid Spain 06 - 06 Oct 2023 New York, NY, United States Association for Computing Machinery (ACM). pp. 13-18 https://doi.org/10.1145/3615587.3615987Conference 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
Leveraging oversampling techniques in machine learning models for multi-class malware detection in smart home applications
Chowdhury, A., Isalm, M., Kaisar, S., Naha, R., Khoshkholghi, A., Aiash, M. and Khoda, M.E. Leveraging oversampling techniques in machine learning models for multi-class malware detection in smart home applications. IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications. Exeter, UK 01 - 03 Nov 2023Conference paper
Intelligence and consciousness in natural and artificial systems
Gamez, D. 2023. Intelligence and consciousness in natural and artificial systems. in: Chella, A. (ed.) Computational Approaches to Conscious Artificial Intelligence World Scientific.Book chapter
Pediatrics in artificial intelligence era: A systematic review on challenges, opportunities, and explainability
Balla, Y., Tirunagari, S. and Windridge, D. 2023. Pediatrics in artificial intelligence era: A systematic review on challenges, opportunities, and explainability. Indian Pediatrics. 60 (7), pp. 561-569. https://doi.org/10.1007/s13312-023-2936-8Article
Android code vulnerabilities early detection using AI-powered ACVED plugin
Senanayake, J., Kalutarage, H., Al-Kadri, M.O., Petrovski, A. and Piras, L. 2023. Android code vulnerabilities early detection using AI-powered ACVED plugin. Atluri, V. and Ferrara, A. (ed.) 37th Annual IFIP WG 11.3 Conference (DBSec 2023). Sophia-Antipolis, France 19 - 21 Jul 2023 Cham Springer. pp. 339–357 https://doi.org/10.1007/978-3-031-37586-6_20Conference paper
A.I.: Artificial Intelligence as philosophy: Machine consciousness and intelligence
Gamez, D. 2023. A.I.: Artificial Intelligence as philosophy: Machine consciousness and intelligence. in: Johnson, D., Kowalski, D., Lay, C. and Engels, K. (ed.) The Palgrave Handbook of Popular Culture as Philosophy Palgrave Macmillan.Book chapter
Efficient design for smart environment using Raspberry Pi with Blockchain and IoT (BRIoT)
Ponugumati, S., Ali, K., Lasebae, A., Zahoor, Z., Kiyani, A., Khoshkholghi, A. and Maddu, L. 2023. Efficient design for smart environment using Raspberry Pi with Blockchain and IoT (BRIoT). CCGridW: 4th Workshop on Secure IoT, Edge and Cloud Systems (SioTEC) 2023. Bangalore, India 01 - 04 May 2023 IEEE. pp. 75-80 https://doi.org/10.1109/CCGridW59191.2023.00026Conference paper
Information fusion-based cybersecurity threat detection for intelligent transportation system
Chowdhury, A., Naha, R., Kaisar, S., Khoshkholghi, A., Ali, K. and Galletta, A. 2023. Information fusion-based cybersecurity threat detection for intelligent transportation system. CCGridW: 4th Workshop on Secure IoT, Edge and Cloud Systems (SioTEC) 2023. Bangalore, India 01 - 04 May 2023 Bangalore, India IEEE. pp. 96-103 https://doi.org/10.1109/CCGridW59191.2023.00029Conference paper
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
Applying motivational techniques for user adherence to adopt a healthy lifestyle in a gamified application
Fatima, S., Augusto, J., Moseley, R., Urbonas, P., Elliott, A. and Payne, N. 2023. Applying motivational techniques for user adherence to adopt a healthy lifestyle in a gamified application. Entertainment Computing. 46. https://doi.org/10.1016/j.entcom.2023.100571Article
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 ACM. pp. 87-97 https://doi.org/10.1145/3084289.3084290Conference item
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. https://doi.org/10.48550/arXiv.2303.11283Pre-print
IHWC: intelligent hidden web crawler for harvesting data in urban domains
Kaur, S., Singh, A., Geetha, G. and Cheng, X. 2021. IHWC: intelligent hidden web crawler for harvesting data in urban domains. Complex & Intelligent Systems. https://doi.org/10.1007/s40747-022-00839-xArticle
Generative recorrupted-to-recorrupted: an unsupervised image denoising network for arbitrary noise distribution
Liu, Y., Wan, B., Shi, D. and Cheng, X. 2023. Generative recorrupted-to-recorrupted: an unsupervised image denoising network for arbitrary noise distribution. Remote Sensing. 15 (2). https://doi.org/10.3390/rs15020364Article
Developing a novel digital forensics readiness framework for wireless medical networks using specialised logging
Mpungu, C., George, C. and Mapp, G. 2023. Developing a novel digital forensics readiness framework for wireless medical networks using specialised logging. Jahankhani, H. (ed.) 14th ICGS3-22: International Conference on Global Security, Safety and Sustainability. Virtual Conference 07 - 08 Sep 2022 Springer. pp. 203-226 https://doi.org/10.1007/978-3-031-20160-8_12Conference paper
A framework for strategic planning of data analytics in the educational sector
Tsiakara, A. 2022. A framework for strategic planning of data analytics in the educational sector. Masters thesis Middlesex University Computer ScienceMasters thesis
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, UK 01 - 03 Nov 2023Conference 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
HANNA: Human-friendly provisioning and configuration of smart devices
Fortuna, C., Yetgin, H., Ogrizek, L., Municio, E., Marquez-Barja, J.M. and Mohorcic, M. 2023. HANNA: Human-friendly provisioning and configuration of smart devices. Engineering Applications of Artificial Intelligence. 126 (Part A). https://doi.org/10.1016/j.engappai.2023.106745Article
Joint energy and spectral optimization in Heterogeneous Vehicular Network
Alam, A., Ali, K., Trestian, R., Shah, P. and Mapp, G. 2023. Joint energy and spectral optimization in Heterogeneous Vehicular Network. Computer Networks. 238. https://doi.org/10.1016/j.comnet.2023.110111Article
Artificial intelligence and automation in endoscopy and surgery
Chadebecq, F., Lovat, L. and Stoyanov, D. 2023. Artificial intelligence and automation in endoscopy and surgery. Nature Reviews Gastroenterology and Hepatology. 20 (3), pp. 171-182. https://doi.org/10.1038/s41575-022-00701-yArticle
Identifying key mechanisms leading to visual recognition errors for missed colorectal polyps using eye-tracking technology
Ahmad, O., Mazomenos, E., Chadebecq, F., Kader, R., Hussein, M., Haidry, R., Puyal, J., Brandao, P., Toth, D. and Mountney, P. 2023. Identifying key mechanisms leading to visual recognition errors for missed colorectal polyps using eye-tracking technology. Journal of Gastroenterology and Hepatology. 38 (5), pp. 768-774. https://doi.org/10.1111/jgh.16127Article
Knowledge management for the micro enterprise: a taxonomy
Hall, S., Smith, S., Baskent, C. and De Raffaele, C. 2023. Knowledge management for the micro enterprise: a taxonomy. Matos, F. and Rosa, A. (ed.) 24th European Conference on Knowledge Management. Lisboa, Portugal 07 - 08 Sep 2023 Academic Conferences International. https://doi.org/10.34190/eckm.24.1.1268Conference paper
A novel scheduling algorithm for improved performance of multi-objective safety-critical wireless sensor networks using long short-term memory
Al-Nader, I., Lasebae, A., Raheem, R. and Khoshkholghi, A. 2023. A novel scheduling algorithm for improved performance of multi-objective safety-critical wireless sensor networks using long short-term memory. Electronics. 12 (23). https://doi.org/10.3390/electronics12234766Article
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