Computer Science
| Title | Computer Science |
|---|---|
| Alternative | S&T - CS |
| Faculty | Faculty of Science and Technology |
Latest research outputs
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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
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 IEEE. pp. 96-103 https://doi.org/10.1109/CCGridW59191.2023.00029Conference paper
Federated learning for performance prediction in multi-operator environments
Lan, X., Taghia, J., Moradi, F., Khoshkholghi, A., Listo Zec, E., Mogren, O., Mahmoodi, T. and Johnsson, A. 2023. Federated learning for performance prediction in multi-operator environments. ITU Journal on Future and Evolving Technologies. 4 (1), pp. 166-177. https://doi.org/10.52953/PFYZ9165Article
IHWC: intelligent hidden web crawler for harvesting data in urban domains
Kaur, S., Singh, A., Geetha, G. and Cheng, X. 2023. IHWC: intelligent hidden web crawler for harvesting data in urban domains. Complex & Intelligent Systems. 9 (4), pp. 3635-3653. https://doi.org/10.1007/s40747-021-00471-1Article
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
Value of information in the mean-square case and its application to the analysis of financial time-series forecast
Belavkin, R., Pardalos, P. and Principe, J. 2023. Value of information in the mean-square case and its application to the analysis of financial time-series forecast. Simos, D., Rasskazova, V., Archetti, F., Kotsireas, I. and Pardalos, P. (ed.) 16th International Conference on Learning and Intelligent Optimization. Milos Island, Greece 05 - 10 Jun 2022 Cham Springer. pp. 549-563 https://doi.org/10.1007/978-3-031-24866-5_39Conference paper
Fusion of colour contrasted images for early detection of oesophageal squamous cell dysplasia from endoscopic videos in real time
Gao, X., Taylor, S., Pang, W., Hui, R., Lu, X., Oxford GI Investigators and Braden, B. 2023. Fusion of colour contrasted images for early detection of oesophageal squamous cell dysplasia from endoscopic videos in real time. Information Fusion. 92, pp. 64-79. https://doi.org/10.1016/j.inffus.2022.11.023Article
Android source code vulnerability detection: a systematic literature review
Senanayake, J., Kalutarage, H., Al-Kadri, M.O., Petrovski, A. and Piras, L. 2023. Android source code vulnerability detection: a systematic literature review. ACM Computing Surveys. 55 (9). https://doi.org/10.1145/3556974Article
Reducing the dependency of having prior domain knowledge for effective online information retrieval
Zammit, O., Smith, S., Windridge, D. and De Raffaele, C. 2023. Reducing the dependency of having prior domain knowledge for effective online information retrieval. Expert Systems. 40 (4). https://doi.org/10.1111/exsy.13014Article
Cooperative conflict detection and resolution and safety assessment for 6G enabled unmanned aerial vehicles
Li, S., Cheng, X., Huang, X., Otaibi, S. and Wang, H. 2023. Cooperative conflict detection and resolution and safety assessment for 6G enabled unmanned aerial vehicles. IEEE Transactions on Intelligent Transportation Systems. 24 (2), pp. 2183-2198. https://doi.org/10.1109/TITS.2021.3137458Article
A user-guided personalization methodology to facilitate new smart home occupancy
Ali, S.M.M., Augusto, J., Windridge, D. and Ward, E. 2023. A user-guided personalization methodology to facilitate new smart home occupancy. Universal Access in the Information Society. 22 (3), pp. 869-891. https://doi.org/10.1007/s10209-022-00883-xArticle
An innovative blockchain-based traceability framework for industry 4.0 cyber-physical factory
Davis, W., Yaqoob, M., Bennett, L., Mihai, S., Hung, D., Trestian, R., Karamanoglu, M., Barn, B. and Nguyen, H. 2023. An innovative blockchain-based traceability framework for industry 4.0 cyber-physical factory. 2022 11th International Conference on Industrial Technology and Management. Oxford, United Kingdom 18 - 20 Feb 2022 New York, NY, USA Association for Computing Machinery (ACM). https://doi.org/10.1145/3588155.3588174Conference paper
Quality traceability for user-centric context-aware systems in intelligent environments
Sakanga, N., Augusto, J., Brodie, L. and Marzano, L. 2022. Quality traceability for user-centric context-aware systems in intelligent environments. Work-07: Digital Innovation for people well-being: Healthcare and Agriculture perspectives . Yokohama, Japan 07 Nov 2022 IEEE. https://doi.org/10.1109/WF-IoT54382.2022.10152209Conference paper
Competitive learning with spiking nets and spike timing dependent plasticity
Huyck, C. and Orume, E. 2022. Competitive learning with spiking nets and spike timing dependent plasticity. Bramer, M. and Stahl, F. (ed.) AI-2022: The Forty-second SGAI International Conference. Cambridge, England, UK 13 - 15 Dec 2022 Springer. pp. 153-166 https://doi.org/10.1007/978-3-031-21441-7_11Conference paper
An examination of counterexamples in proofs and refutations
Bagce, S. and Baskent, C. 2009. An examination of counterexamples in proofs and refutations. Philosophia Scientiae. https://doi.org/10.4000/philosophiascientiae.228Article
A formal approach to lakatosian heuristics
Baskent, C. 2012. A formal approach to lakatosian heuristics. Logique et Analyse. 55 (217), pp. 23-46.Article
A non-classical logical approach to social software
Baskent, C. 2017. A non-classical logical approach to social software. in: Baskent, C., Moss, L. and Ramanujam, R. (ed.) Rohit Parikh on Logic, Language and Society Springer.Book chapter
Digital twin as risk-free experimentation aid for techno-socio-economic systems
Barat, S., Kulkarni, V., Clark, T. and Barn, B. 2022. Digital twin as risk-free experimentation aid for techno-socio-economic systems. ACM / IEEE 25th International Conference on Model Driven Engineering Languages and Systems (MODELS). Montreal, Canada 23 - 28 Oct 2022 Association for Computing Machinery (ACM). pp. 66-75 https://doi.org/10.1145/3550355.3552409Conference paper
A global and regional analysis of Risk Factors for Blindness and Vision impairment in 2020 and their contribution to the change in prevalence of vision loss over 3 decades
Bourne, R., Bottone, M., Steinmetz, J., Briant, P., Flaxman, S., Casson, R., Wang, N., Jost, J., Resnikoff, S., Braithwaite, T., Tapply, I., Cicinelli, M., Vos, T. and Taylor, H. 2022. A global and regional analysis of Risk Factors for Blindness and Vision impairment in 2020 and their contribution to the change in prevalence of vision loss over 3 decades. 2022 ARVO Annual Meeting. Denver, Colorado, USA 01 - 04 May 2022 ARVO.Conference poster
Smaller progress measures and separating automata for parity games
Dell'Erba, D. and Schewe, S. 2022. Smaller progress measures and separating automata for parity games. Frontiers in Computer Science. 4. https://doi.org/10.3389/fcomp.2022.936903Article
Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations
Dykes, J., Abdul-Rahman, A., Archambault, D., Bach, B., Borgo, R., Chen, M., Enright, J., Fang, H., Firat, E., Freeman, E., Gönen, T., Harris, C., Jianu, R., John, N., Khan, S., Lahiff, A., Laramee, R.S., Matthews, L., Mohr, S., Nguyen, P.H., Rahat, A.A.M., Reeve, R., Ritsos, P., Roberts, J., Slingsby, A., Swallow, B., Torsney-Weir, T., Turkay, C., Turner, R., Vidal, F., Wang, Q., Wood, J. and Xu, K. 2022. Visualization for epidemiological modelling: challenges, solutions, reflections and recommendations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 380 (2233). https://doi.org/10.1098/rsta.2021.0299Article
User experience of 360° video: the development of a conceptual framework
Philpot, A. 2022. User experience of 360° video: the development of a conceptual framework. PhD thesis Middlesex UniversityPhD thesis
Efficient, revocable, and privacy-preserving fine-grained data sharing with keyword search for the cloud-assisted medical IoT system
Bao, Y., Qiu, W., Tang, P. and Cheng, X. 2022. Efficient, revocable, and privacy-preserving fine-grained data sharing with keyword search for the cloud-assisted medical IoT system. IEEE Journal of Biomedical and Health Informatics. 26 (5), pp. 2041-2051. https://doi.org/10.1109/JBHI.2021.3100871Article
Large-size data distribution in IoV based on 5G/6G compatible heterogeneous network
Yin, X., Liu, J., Cheng, X. and Xiong, X. 2022. Large-size data distribution in IoV based on 5G/6G compatible heterogeneous network. IEEE Transactions on Intelligent Transportation Systems. 25 (7), pp. 9840-9852. https://doi.org/10.1109/TITS.2021.3118701Article
A differentiated learning environment in domain model for learning disabled learners
Thapliyal, M., Ahuja, N., Shankar, A., Cheng, X. and Kumar, M. 2022. A differentiated learning environment in domain model for learning disabled learners. Journal of Computing in Higher Education. 34, pp. 60-82. https://doi.org/10.1007/s12528-021-09278-yArticle
Offline signature verification using deep neural network with application to computer vision
Sharma, N., Gupta, S., Mehta, P., Cheng, X., Shankar, A., Singh, P. and Nayak, S. 2022. Offline signature verification using deep neural network with application to computer vision. Journal of Electronic Imaging (JEI). 31 (4). https://doi.org/10.1117/1.JEI.31.4.041210Article
Intrusion detection and prevention system for an IoT environment
Kumar, A., Abhishek, K., Ghalib, M., Shankar, A. and Cheng, X. 2022. Intrusion detection and prevention system for an IoT environment. Digital Communications and Networks. 8 (4), pp. 540-551. https://doi.org/10.1016/j.dcan.2022.05.027Article
An empirical study on Retinex methods for low-light image enhancement
Rasheed, M., Guo, G., Shi, D., Khan, H. and Cheng, X. 2022. An empirical study on Retinex methods for low-light image enhancement. Remote Sensing. 14 (18). https://doi.org/10.3390/rs14184608Article
Information requirements of a decision support system for severe accident management in nuclear power plants
Salim, S., Choi, E. and Ham, D. 2022. Information requirements of a decision support system for severe accident management in nuclear power plants. Applied Sciences. 12 (8). https://doi.org/10.3390/app12083803Article
Classification of artefacts in endoscopic images using deep neural network
Auzine, M., Bissoonauth-Daiboo, P., Khan, M., Baichoo, S., Gao, X. and Sahib, N. 2022. Classification of artefacts in endoscopic images using deep neural network. 3rd International Conference on Next Generation Computing Applications (NextComp). Flic-en-Flac, Mauritius 06 - 08 Oct 2022 IEEE. https://doi.org/10.1109/nextcomp55567.2022.9932202Conference paper
Predict market movements based on the sentiment of financial video news sites
Alzazah, F., Gao, X. and Cheng, X. 2022. Predict market movements based on the sentiment of financial video news sites. IEEE 16th International Conference on Semantic Computing. Laguna Hills, CA, USA 26 - 28 Jan 2022 IEEE. https://doi.org/10.1109/icsc52841.2022.00022Conference paper
Multi-source multi-destination hybrid infrastructure-aided traffic aware routing in V2V/I networks
Ivanescu, T., Yetgin, H., Merrett, G.V. and El-Hajjar, M. 2022. Multi-source multi-destination hybrid infrastructure-aided traffic aware routing in V2V/I networks. IEEE Access. 10, pp. 119956-119969. https://doi.org/10.1109/access.2022.3221446Article
Artificial Intelligence to improve learning outcomes through online collaborative activities
Nalli, G., Amendola, D. and Smith, S. 2022. Artificial Intelligence to improve learning outcomes through online collaborative activities. Fotaris, P. and Blake, A. (ed.) 21st European Conference on e-Learning. Brighton, UK 27 - 28 Oct 2022 Academic Conferences International (ACI). pp. 475-479 https://doi.org/10.34190/ecel.21.1.661Conference paper
SuperPoint features in endoscopy
Leon Barbed, O., Chadebecq, F., Morlana, J., Montiel, J. and Murillo, A. 2022. SuperPoint features in endoscopy. Manfredi, L., Ahmadi, S., Bronstein, M., Kazi, A., Lomanto, D., Mathew, A., Magerand, L., Mullakaeva, K., Papiez, B., Taylor, R. and Trucco, E. (ed.) 1st MICCAI Workshop on Imaging Systems for GI Endoscopy. Singapore 18 - 18 Sep 2022 Cham Springer. https://doi.org/10.1007/978-3-031-21083-9_5Conference paper
xURLLC in 6G with meshed RAN
Khoshkholghi, A., Mahmoodi, T., Pal, S., Chopra, S., Tendulkar, M. and Sarka, S. 2022. xURLLC in 6G with meshed RAN. ITU Journal on Future and Evolving Technologies. 3 (3), pp. 612-622. https://doi.org/10.52953/JTPE9471Article
Edge intelligence for service function chain deployment in NFV-enabled networks
Khoshkholghi, A. and Mahmoodi, T. 2022. Edge intelligence for service function chain deployment in NFV-enabled networks. Computer Networks. 219. https://doi.org/10.1016/j.comnet.2022.109451Article
IntOpt: in-band network telemetry optimization framework to monitor network slices using P4
Bhamare, D., Kassler, A., Vestin, J., Khoshkholghi, A., Taheri, J., Mahmoodi, T., Ohlen, P. and Curescu, C. 2022. IntOpt: in-band network telemetry optimization framework to monitor network slices using P4. Computer Networks. 216. https://doi.org/10.1016/j.comnet.2022.109214Article
Digital poverty in the UK: analysis of secondary data
Dafoulas, G., Ueno, A. and Dennis, C. 2022. Digital poverty in the UK: analysis of secondary data. London, UK British Academy.Project report
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