Computer Science
| Title | Computer Science |
|---|---|
| Alternative | S&T - CS |
| Faculty | Faculty of Science and Technology |
Latest research outputs
Sort by Date Title
The proposal of adding a society value to the software process improvement manifesto
Rahanu, H., Loveday, J., Siakas, E., Georgiadou, E., Siakas, K. and Ross, M. 2022. The proposal of adding a society value to the software process improvement manifesto. Yilmaz, M., Clarke, P., Messanarz, R. and Wöran, B. (ed.) EuroSPI 2022: European Systems, Software and Services Process Improvement and Innovation Conference. Salzburg, Austria 31 Aug - 02 Sep 2022 Springer Nature. pp. 673-687 https://doi.org/10.1007/978-3-031-15559-8_47Conference 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
Towards paraconsistent inquiry
Baskent, C. 2016. Towards paraconsistent inquiry. The Australian Journal of Logic. 13 (2), pp. 21-40. https://doi.org/10.26686/ajl.v13i2.2102Article
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
A global-scale analysis of the sharing economy model – an AirBnB case study
Quattrone, G., Kusek, N. and Capra, L. 2022. A global-scale analysis of the sharing economy model – an AirBnB case study. EPJ Data Science. 11 (1), pp. 1-29. https://doi.org/10.1140/epjds/s13688-022-00349-3Article
Exploring rationality of self awareness in social networking for logical modeling of unintentional insiders
Kammueller, F. and Alvarado, C. 2022. Exploring rationality of self awareness in social networking for logical modeling of unintentional insiders. Moallem, A. (ed.) HCI-CPT: 4th International Conference on HCI for Cybersecurity, Privacy and Trust. Virtual 26 Jun - 01 Jul 2022 Springer. pp. 340-357 https://doi.org/10.1007/978-3-031-05563-8_22Conference 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
Gamification for healthier lifestyle – user retention
Fatima, S., Augusto, J., Moseley, R. and Urbonas, P. 2022. Gamification for healthier lifestyle – user retention. 3rd Workshop on Smart Data Integration and Processing on Service Based Environments (STRAPS 2021). Dubai, UAE 22 Nov 2021 Springer. pp. 217-227 https://doi.org/10.1007/978-3-031-14135-5_17Conference paper
Privacy, security and forensics in the Internet of Things (IoT)
Montasari, R., Carroll, F., Mitchell, I., Hara, S. and Bolton-King, R. (ed.) 2022. Privacy, security and forensics in the Internet of Things (IoT). Springer.Book
A matter of life and death: how the Covid-19 pandemic threw the spotlight on digital financial exclusion in the UK
Hara, S., Whitney, G. and Whitney, L. 2021. A matter of life and death: how the Covid-19 pandemic threw the spotlight on digital financial exclusion in the UK. in: Jahankhani, H., Kendzierskyj, S. and Akhgar, B. (ed.) Information Security Technologies for Controlling Pandemics Springer International Publishing. pp. 65-108Book chapter
Multi-cell interference management in In-band D2D communication under LTE-A network
Modak, K. and Rahman, S. 2021. Multi-cell interference management in In-band D2D communication under LTE-A network. 4th International Conference on Computing, Electronics and Communications Engineering 2021 (iCCECE '21). University of Essex, Southend, UK (Virtual Conference) 16 - 17 Aug 2021 Institute of Electrical and Electronics Engineers. pp. 13-18 https://doi.org/10.1109/iCCECE52344.2021.9534849Conference paper
Challenges, applications and future of wireless sensors in Internet of Things: a review
Jamshed, M., Ali, K., Abbasi, Q., Imran, M. and Ur-Rehman, M. 2022. Challenges, applications and future of wireless sensors in Internet of Things: a review. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2022.3148128Article
Development of OpenFlow Native Capabilities to optimize QoS
Breiki, M., Zhou, S. and Luo, Y. 2020. Development of OpenFlow Native Capabilities to optimize QoS. 2020 Seventh International Conference on Software Defined Systems (SDS). Paris, France 20 - 23 Apr 2020 IEEE. pp. 67-74 https://doi.org/10.1109/SDS49854.2020.9143890Conference paper
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
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
164330
total views32070
total downloads2943
views this month603
downloads this month