Computer Science
| Title | Computer Science |
|---|---|
| Alternative | S&T - CS |
| Faculty | Faculty of Science and Technology |
Latest research outputs
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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 University Computer SciencePhD 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
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 Limited (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
Towards resolving challenges associated with climate change modelling in Africa
Oluwagbemi, O., Hamutoko, J.T., Fotso-Nguemo, T.C., Lokonon, B.O.K., Emebo, O. and Kirsten, K.L. 2022. Towards resolving challenges associated with climate change modelling in Africa. Applied Sciences. 12 (14). https://doi.org/10.3390/app12147107Article
Molecular dynamic simulation reveals structure differences in APOL1 variants and implication on pathogenesis of chronic kidney disease
Mayanja, R., Kintu, C., Diabate, O., Soremekun, O., Oluwagbemi, O., Wele, M., Kalyesubula, R., Jjingo, D., Chikowore, T. and Fatumo, S. 2022. Molecular dynamic simulation reveals structure differences in APOL1 variants and implication on pathogenesis of chronic kidney disease. Genes. 13 (8). https://doi.org/10.3390/genes13081460Article
Bioinformatics, computational informatics, and modeling approaches to the design of mRNA COVID-19 vaccine candidates
Oluwagbemi, O., Oladipo, E.K., Kolawole, O.M., Oloke, J.K., Adelusi, T.I., Irewolede, B.A., Dairo, E.O, Ayeni, A.E., Kolapo, K.T., Akindiya, O.E., Oluwasegun, J.A., Oluwadara, B.F. and Fatumo, S. 2022. Bioinformatics, computational informatics, and modeling approaches to the design of mRNA COVID-19 vaccine candidates. Computation. 10 (7). https://doi.org/10.3390/computation10070117Article
Ensemble machine learning for Monkeypox transmission time series forecasting
Dada, E.G., Oyewola, D.O., Joseph, S.B., Emebo, O. and Oluwagbemi, O. 2022. Ensemble machine learning for Monkeypox transmission time series forecasting. Applied Sciences. 12 (23). https://doi.org/10.3390/app122312128Article
Application of deep learning techniques and Bayesian optimization with tree parzen estimator in the classification of supply chain pricing datasets of health medications
Oyewola, D., Dada, E., Omotehinwa, T., Emebo, O. and Oluwagbemi, O. 2022. Application of deep learning techniques and Bayesian optimization with tree parzen estimator in the classification of supply chain pricing datasets of health medications. Applied Sciences. 12 (19). https://doi.org/10.3390/app121910166Article
Computational construction of a glycoprotein multi-epitope subunit vaccine candidate for old and new South-African SARS-CoV-2 virus strains
Oluwagbemi, O., Oladipo, E., Dairo, E., Ayeni, A., Irewolede, B., Jimah, E., Oyewole, M., Olawale, B., Adegoke, H. and Ogunleye, A. 2022. Computational construction of a glycoprotein multi-epitope subunit vaccine candidate for old and new South-African SARS-CoV-2 virus strains. Informatics in Medicine Unlocked . 28. https://doi.org/10.1016/j.imu.2022.100845Article
Using deep 1D convolutional grated recurrent unit neural network to optimize quantum molecular properties and predict intramolecular coupling constants of molecules of potential health medications and other generic molecules
Oyewola, D.O., Dada, E.G., Emebo, O. and Oluwagbemi, O. 2022. Using deep 1D convolutional grated recurrent unit neural network to optimize quantum molecular properties and predict intramolecular coupling constants of molecules of potential health medications and other generic molecules. Applied Sciences. 12 (14). https://doi.org/10.3390/app12147228Article
Insights into the impacts of and responses to COVID-19 pandemic: The South African food retail supply chains perspective
Omoruyi, O., Dakora, E.A. and Oluwagbemi, O. 2022. Insights into the impacts of and responses to COVID-19 pandemic: The South African food retail supply chains perspective. Journal of Transport and Supply Chain. 16. https://doi.org/10.4102/jtscm.v16i0.739Article
A framework for privacy and security requirements analysis and conflict resolution for supporting GDPR compliance through privacy-by-design
Alkubaisy, D., Piras, L., Al-Obeidallah, M., Cox, K. and Mouratidis, H. 2022. A framework for privacy and security requirements analysis and conflict resolution for supporting GDPR compliance through privacy-by-design. Ali, R., Kaindl, H. and Maciaszek, L. (ed.) 16th International Conference on Evaluation of Novel Approaches to Software Engineering. Virtual 26 - 27 Apr 2021 Cham Springer. pp. 67-87 https://doi.org/10.1007/978-3-030-96648-5_4Conference paper
Developing secured Android applications by mitigating code vulnerabilities with machine learning
Senanayake, J., Kalutarage, H., Al-Kadri, M., Petrovski, A. and Piras, L. 2022. Developing secured Android applications by mitigating code vulnerabilities with machine learning. ACM Asia Conference on Computer and Communications Security (ASIA CCS '22). Nagasaki, Japan 30 May - 03 Jun 2022 Association for Computing Machinery (ACM). pp. 1255–1257 https://doi.org/10.1145/3488932.3527290Conference poster
The quantum path kernel: A generalized quantum neural tangent kernel for deep quantum machine learning
Incudini, M., Grossi, M., Mandarino, A., Vallecorsa, S., Di Pierro, A. and Windridge, D. 2022. The quantum path kernel: A generalized quantum neural tangent kernel for deep quantum machine learning. https://doi.org/10.48550/arXiv.2212.11826Pre-print
A convex selective segmentation model based on a piece-wise constant metric guided edge detector function
Khan, M., Ali, H., Zakarya, M., Tirunagari, S., Khan, A., Khan, R., Ahmed, A. and Rada, L. 2022. A convex selective segmentation model based on a piece-wise constant metric guided edge detector function. https://doi.org/10.21203/rs.3.rs-2391118/v1Pre-print
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
Supporting the individuation, analysis and gamification of software components for acceptance requirements fulfilment
Calabrese, F., Piras, L. and Giorgini, P. 2022. Supporting the individuation, analysis and gamification of software components for acceptance requirements fulfilment. Barn, B. and Sandkuhl, K (ed.) IFIP Working Conference on The Practice of Enterprise Modeling. London, UK 23 - 25 Nov 2022 Springer. pp. 33-48 https://doi.org/10.1007/978-3-031-21488-2_3Conference paper
Smart technologies and beyond: exploring how a smart band can assist in monitoring children’s independent mobility & well-being
Mistry, K. 2022. Smart technologies and beyond: exploring how a smart band can assist in monitoring children’s independent mobility & well-being. Masters thesis Middlesex University Science and TechnologyMasters thesis
Value of information in the binary case and confusion matrix
Belavkin, R., Pardalos, P. and Principe, J. 2022. Value of information in the binary case and confusion matrix. 41st International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. Paris, France 18 - 22 Jul 2022 MDPI AG. pp. 1-9 https://doi.org/10.3390/psf2022005008Conference paper
A tagging SNP set method based on network community partition of linkage disequilibrium and node centrality
Wan, Q., Cheng, X., Zhang, Y., Lu, G., Wang, S. and He, S. 2022. A tagging SNP set method based on network community partition of linkage disequilibrium and node centrality. Current Bioinformatics. 17 (9), pp. 825-834. https://doi.org/10.2174/1574893617666220324155813Article
Formalization and evaluation of EAP-AKA’ protocol for 5G network access security
Edris, E., Aiash, M. and Loo, J. 2022. Formalization and evaluation of EAP-AKA’ protocol for 5G network access security. Array. 16. https://doi.org/10.1016/j.array.2022.100254Article
Factors affecting the deployment of learning analytics in developing countries: case of Egypt
Mahmoud, M., Dafoulas, G., Abd ElAziz, R. and Saleeb, N. 2022. Factors affecting the deployment of learning analytics in developing countries: case of Egypt. International Journal of Emerging Technologies in Learning (iJET). 17 (03), pp. 279-298. https://doi.org/10.3991/ijet.v17i03.24405Article
Explanation of black box AI for GDPR related privacy using Isabelle
Kammueller, F. 2022. Explanation of black box AI for GDPR related privacy using Isabelle. Garcia-Alfaro, J., Navarro-Arribas, G. and Dragoni, N. (ed.) 17th DPM International Workshop on Data Privacy Management. Copenhagen, Denmark 29 - 30 Sep 2022 Cham Springer. https://doi.org/10.1007/978-3-031-25734-6_5Conference paper
Endoscopic image analysis using deep convolutional GAN and traditional data augmentation
Auzine, M., Khan, M., Baichoo, S., Gooda Sahib, N., Gao, X. and Bissoonauth-Daiboo, P. 2022. Endoscopic image analysis using deep convolutional GAN and traditional data augmentation. International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). Maldives 16 - 18 Nov 2022 IEEE. https://doi.org/10.1109/ICECCME55909.2022.9988503Conference item
COVID-VIT: classification of Covid-19 from 3D CT chest images based on vision transformer model
Gao, X., Khan, M., Hui, R., Tian, Z., Qian, Y., Gao, A. and Baichoo, S. 2022. COVID-VIT: classification of Covid-19 from 3D CT chest images based on vision transformer model. 3rd International Conference on Next Generation Computing Applications (NextComp). Flic-en-Flac, Mauritius 06 - 08 Oct 2022 IEEE. https://doi.org/10.1109/NextComp55567.2022.9932246Conference paper
Developing testing frameworks for AI cameras
Herdzik, A. and James-Reynolds, C. 2022. Developing testing frameworks for AI cameras. Bramer, M. and Stahl, F. (ed.) 42nd Annual International Conference of the British Computer Society's Specialist Group on Artificial Intelligence (SGAI). Cambridge, UK 13 - 15 Dec 2022 Cham Springer. https://doi.org/10.1007/978-3-031-21441-7_28Conference paper
Discriminator-based adversarial networks for knowledge graph completion
Tubaishat, A., Zia, T., Faiz, R., Al Obediat, F., Shah, B. and Windridge, D. 2022. Discriminator-based adversarial networks for knowledge graph completion. Neural Computing and Applications. https://doi.org/10.1007/s00521-022-07680-wArticle
Malignant Mesothelioma subtyping of tissue images via sampling driven multiple instance prediction
Eastwood, M., Marc, S., Gao, X., Sailem, H., Offman, J., Karteris, E., Montero Fernandez, A., Jonigk, D., Cookson, W., Moffatt, M., Popat, S., Minhas, F. and Robertus, J. 2022. Malignant Mesothelioma subtyping of tissue images via sampling driven multiple instance prediction. Michalowski, M., Abidi, S. and Abidi, S. (ed.) 20th International Conference on Artificial Intelligence in Medicine. Halifax, Canada 14 - 17 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-09342-5_25Conference paper
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