Computer Science
| Title | Computer Science |
|---|---|
| Alternative | S&T - CS |
| Faculty | Faculty of Science and Technology |
Latest research outputs
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The fulfilment of ethical duties required in overcoming obstacles to eLearning in a pandemic
Rahanu, H. 2021. The fulfilment of ethical duties required in overcoming obstacles to eLearning in a pandemic. Uhomoibhi, J., Linecar, P., Marchbank, P., Ross, M. and Staples, G. (ed.) BCS Inspire XXVI: Delivering global eductation and impact in emergencies using e-learning. Southampton, UK 21 - 23 Jun 2021 Southampton Solent University. pp. 25-36Conference paper
The impact of the COVID-19 pandemic on the learning and wellbeing of secondary school students: a survey in Southern Europe
Panteri, M., Zirki, A., Lambrou, G., Valtanen, J., Berki, E., Lampropoulos, G., Soylu, D., Siakas, K., Georgiadou, E., Edwards, J., Rahanu, H., Stoffová, M. and Morales Calleja, C. 2021. The impact of the COVID-19 pandemic on the learning and wellbeing of secondary school students: a survey in Southern Europe. Uhomoibhi, J., Linecar, P., Marchbank, P., Ross, M. and Staples, G. (ed.) BCS Inspire XXVI: Delivering global eductation and impact in emergencies using e-learning. Southampton, UK 21 - 23 Jun 2021 Southampton Solent University. pp. 399-431Conference paper
Impact of the Covid-19 pandemic on education: experiences and feelings reported by primary school pupils from Greece and Turkey
Soylu, D., Lampropoulos, G., Siakas, E., Panteri, M., Valtanen, J., Berki, E., Siakas, K., Medeni, T., Edwards, J. and Georgiadou, E. 2021. Impact of the Covid-19 pandemic on education: experiences and feelings reported by primary school pupils from Greece and Turkey. Uhomoibhi, J., Linecar, P., Marchbank, P., Ross, M. and Staples, G. (ed.) BCS Inspire XXVI: Delivering global eductation and impact in emergencies using e-learning. Southampton, UK 21 - 23 Jun 2021 Southampton Solent University. pp. 337-397Conference paper
Context-aware support for cardiac health monitoring using federated machine learning
Ogbuabor, G., Augusto, J., Moseley, R. and Van Wyk, A. 2021. Context-aware support for cardiac health monitoring using federated machine learning. Bramer, M. and Ellis, R. (ed.) 41st SGAI International Conference on Artificial Intelligence (AI-2021). Cambridge, England [Online] 14 - 16 Dec 2021 Springer. pp. 267-281 https://doi.org/10.1007/978-3-030-91100-3_22Conference paper
Malware: the never-ending arm race
Menendez Benito, H. 2021. Malware: the never-ending arm race. Open Journal of Cybersecurity. 1 (1), pp. 1-25. https://doi.org/10.46723/ojc.1.1.3Article
Developing conversational agents for use in criminal investigations
Hepenstal, S., Zhang, L., Kodagoda, N. and Wong, B. 2021. Developing conversational agents for use in criminal investigations. ACM Transactions on Interactive Intelligent Systems. 11 (3-4), pp. 1-35. https://doi.org/10.1145/3444369Article
Characterization of deep sub-wavelength nanowells by imaging the photon state scattering spectra
Liu, W., Liu, X. and Gao, X. 2021. Characterization of deep sub-wavelength nanowells by imaging the photon state scattering spectra. Optics Express. 29 (2), pp. 1221-1231. https://doi.org/10.1364/OE.413942Article
Advanced cybersecurity technologies
Moseley, R. 2021. Advanced cybersecurity technologies. Boca Raton, United States CRC Press.Authored Book
Developing traffic predictions from source to destination using probabilistic modelling [Presentation]
Mehta, V., Gandhi, V. and Mapp, G. 2021. Developing traffic predictions from source to destination using probabilistic modelling [Presentation]. Third UK Mobile, Wearable and Ubiquitous Systems Research Symposium. Online via Zoom 05 - 06 Jul 2021Conference item
Formal verification of authentication and service authorization protocols in 5G-enabled device-to-device communications using ProVerif
Edris, E., Aiash, M. and Loo, J. 2021. Formal verification of authentication and service authorization protocols in 5G-enabled device-to-device communications using ProVerif. Electronics. 10 (13). https://doi.org/10.3390/electronics10131608Article
Power grid-oriented cascading failure vulnerability identifying method based on wireless sensors
Li, S., Chen, Y., Wu, X., Cheng, X. and Tian, Z. 2021. Power grid-oriented cascading failure vulnerability identifying method based on wireless sensors. Journal of Sensors. 2021, pp. 1-12. https://doi.org/10.1155/2021/8820413Article
Security in network services delivery for 5G enabled D2D communications: challenges and solutions
Edris, E., Aiash, M. and Loo, J. 2021. Security in network services delivery for 5G enabled D2D communications: challenges and solutions. in: Montasari, R., Jahankhani, H. and Al-Khateeb, H. (ed.) Challenges in the IoT and Smart Environments: A Practitioners' Guide to Security, Ethics and Criminal Threats Cham Springer. pp. 1-27Book chapter
DCSS protocol for data caching and sharing security in a 5G network
Edris, E., Aiash, M. and Loo, J. 2021. DCSS protocol for data caching and sharing security in a 5G network. Network. 1 (2), pp. 75-94. https://doi.org/10.3390/network1020006Article
Cell Assembly-based Task Analysis (CAbTA)
Diaper, D. and Huyck, C. 2021. Cell Assembly-based Task Analysis (CAbTA). Arai, K. (ed.) Computing Conference 2021 (formerly called Science and Information (SAI) Conference). Virtual (from London, UK) 15 - 16 Jul 2021 Springer. pp. 383-400 https://doi.org/10.1007/978-3-030-80119-9_22Conference paper
The Life-cycle of artificial contexts
Augusto, J. and Dickins, T. 2021. The Life-cycle of artificial contexts. Modeling and Using Context. 4 (Sp Iss), pp. 1-7. https://doi.org/10.21494/ISTE.OP.2021.0685Article
Introduction to the Proceedings of WoRIE’21
Rodríguez-Domínguez, C., Santokhee, A., Hornos, M. and Augusto, J. 2021. Introduction to the Proceedings of WoRIE’21. in: Bashir, E. and Luštrek, M. (ed.) Intelligent Environments 2021: Workshop Proceedings of the 17th International Conference on Intelligent Environments IOS Press.Introduction
Rapid migration from traditional or hybrid to fully virtual education in the age of the coronavirus pandemic: challenges, experiences and views of college and university students
Georgiadou, E., Lampropoulos, G., Siakas, E., Siakas, K., Edwards, J., Valtanen, J., Berki, E., Paltalidis, N., Rahanu, H., Knezevic, R., Čolic, A., Tomic, B., Savva, A., Stylianou, V., Meiramova, S., Abd Elghany, M., Khalifa, N., Gevorgyan, R., Popa, D., Odero, J., Ali, U., Panteri, M., Dennis, K., Stoffová, V., Begum, D., Chaudhary, S., Plastira, M., Soylu, D., Ross, M., Staples, G., Zamaraeva, G., Panov, J., Zhang, X., Portides, G., McGuinness, C., Valkanou, T. and Knezevic, S. 2021. Rapid migration from traditional or hybrid to fully virtual education in the age of the coronavirus pandemic: challenges, experiences and views of college and university students. Uhomoibhi, J., Linecar, P., Marchbank, P., Ross, M. and Staples, G. (ed.) BCS Inspire XXVI: Delivering global eductation and impact in emergencies using e-learning. Southampton, UK 21 - 23 Jun 2021 Southampton Solent University. pp. 433-542Conference paper
Handbook of Smart Cities
Augusto, J. (ed.) 2021. Handbook of Smart Cities. Cham, Switzerland Springer.Edited Book
Smart cities: state of the art and future challenges
Augusto, J. 2021. Smart cities: state of the art and future challenges. in: Augusto, J. (ed.) Handbook of Smart Cities Cham, Switzerland Springer. pp. 1693-1702Book chapter
Task bundling in worker-centric mobile crowdsensing
Zhao, T., Yang, Y., Wang, E., Mumtaz, S. and Cheng, X. 2021. Task bundling in worker-centric mobile crowdsensing. International Journal of Intelligent Systems. 36 (9), pp. 4936-4961. https://doi.org/10.1002/int.22497Article
Secure and energy-efficient smart building architecture with emerging technology IoT
Kumar, A., Sharma, S., Goyal, N., Singh, A., Cheng, X. and Singh, P. 2021. Secure and energy-efficient smart building architecture with emerging technology IoT. Computer Communications. 176, pp. 207-217. https://doi.org/10.1016/j.comcom.2021.06.003Article
A smart campus template
Augusto, J. 2021. A smart campus template. Bashir, E. and Luštrek, M. (ed.) 3rd International Workshop on Intelligent Environments and Buildings. Virtual 21 Jun 2021 IOS Press. pp. 71-80 https://doi.org/10.3233/aise210083Conference paper
A generative adversarial network for single and multi-hop distributional knowledge base completion
Zia, T. and Windridge, D. 2021. A generative adversarial network for single and multi-hop distributional knowledge base completion. Neurocomputing. 461, pp. 543-551. https://doi.org/10.1016/j.neucom.2021.04.128Article
Fuzzy decision trees embedded with evolutionary fuzzy clustering for locating users using wireless signal strength in an indoor environment
Narayanan, S., Baby, C., Perumal, B., Bhatt, R., Cheng, X., Ghalib, M. and Shankar, A. 2021. Fuzzy decision trees embedded with evolutionary fuzzy clustering for locating users using wireless signal strength in an indoor environment. International Journal of Intelligent Systems. 36 (8), pp. 4280-4267. https://doi.org/10.1002/int.22459Article
Generative Adversarial Networks (GANs) in networking: A comprehensive survey & evaluation
Navidan, H., Moshiri, P., Nabati, M., Shahbazian, R., Ghorashi, S., Shah-Mansouri, V. and Windridge, D. 2021. Generative Adversarial Networks (GANs) in networking: A comprehensive survey & evaluation. Computer Networks. 194, pp. 1-21. https://doi.org/10.1016/j.comnet.2021.108149Article
Software testing or the bugs’ nightmare
Menendez Benito, H. 2021. Software testing or the bugs’ nightmare. Open Journal of Software Engineering. 1 (1), pp. 1-21. https://doi.org/10.46723/ojse.1.1.1Article
Measuring intelligence in natural and artificial systems
Gamez, D. 2021. Measuring intelligence in natural and artificial systems. Journal of Artificial Intelligence and Consciousness. 08 (02), pp. 285-302. https://doi.org/10.1142/s2705078521500090Article
Nowcasting gentrification using Airbnb data
Jain, S., Proserpio, D., Quattrone, G. and Quercia, D. 2021. Nowcasting gentrification using Airbnb data. CSCW 2021: The 24th ACM conference on Computer-Supported Cooperative Work and Social Computing. Virtual conference 23 - 27 Oct 2021 Association for Computing Machinery (ACM). https://doi.org/10.1145/3449112Conference paper
Getting ahead of the arms race: hothousing the coevolution of VirusTotal with a Packer
Menendez Benito, H., Clark, D. and T. Barr, E. 2021. Getting ahead of the arms race: hothousing the coevolution of VirusTotal with a Packer. Entropy. 23 (4). https://doi.org/10.3390/e23040395Article
[Retracted] PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation
Wang, S., Zhang, Y., Cheng, X., Zhang, X. and Zhang, Y. 2021. [Retracted] PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation. Computational and Mathematical Methods in Medicine. 2021, pp. 1-18. https://doi.org/10.1155/2021/6633755Article
Assessing stakeholder network engagement
Okazaki, S., Plangger, K., Roulet, T. and Menendez Benito, H. 2021. Assessing stakeholder network engagement. European Journal of Marketing. 55 (5), pp. 1359-1384. https://doi.org/10.1108/EJM-12-2018-0842Article
Diversifying focused testing for unit testing
Menendez Benito, H., Jahangirova, G., Sarro, F., Tonella, P. and Clark, D. 2021. Diversifying focused testing for unit testing. ACM Transactions on Software Engineering and Methodology. 30 (4), pp. 1-24. https://doi.org/10.1145/3447265Article
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
Ali, S., Dmitrieva, M., Ghatwary, N., Bano, S., Polat, G., Temizel, A., Krenzer, A., Hekalo, A., Guo, Y., Matuszewski, B., Gridach, M., Voiculescu, I., Yoganand, V., Chavan, A., Raj, A., Nguyen, N., Tran, D., Huynh, L., Boutry, N., Rezvy, S., Chen, H., Choi, Y., Subramanian, A., Balasubramanian, V., Gao, X., Hu, H., Liao, Y., Stoyanov, D., Daul, C., Realdon, S., Cannizzaro, R., Lamarque, D., Tran-Nguyen, T., Bailey, A., Braden, B., East, J. and Rittscher, J. 2021. Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy. Medical Image Analysis. 70. https://doi.org/10.1016/j.media.2021.102002Article
Multi-view convolutional recurrent neural networks for lung cancer nodule identification
Naeem Abid, M., Zia, T., Ghafoor, M. and Windridge, D. 2021. Multi-view convolutional recurrent neural networks for lung cancer nodule identification. Neurocomputing. 453, pp. 299-311. https://doi.org/10.1016/j.neucom.2020.06.144Article
Patterns and motivations for method choices in suicidal thoughts and behaviour: qualitative content analysis of a large online survey
Marzano, L., Katsampa, D., Mackenzie, J., Kruger, A., El-Gharbawi, N., Ffolkes-St-Helene, D., Mohiddin, H. and Fields, B. 2021. Patterns and motivations for method choices in suicidal thoughts and behaviour: qualitative content analysis of a large online survey. BJPsych Open. 7 (2), pp. 1-6. https://doi.org/10.1192/bjo.2021.15Article
An analysis of social interaction between novice older adults when learning gesture-based skills through simple digital games
Springett, M., Mihajlov, M., Brzovska, E., Orozel, M., Elsner, V., Oppl, S., Stary, C., Keith, S. and Richardson, J. 2021. An analysis of social interaction between novice older adults when learning gesture-based skills through simple digital games. Universal Access in the Information Society. 21 (3), pp. 639-655. https://doi.org/10.1007/s10209-021-00793-4Article
Using argumentation to solve conflicting situations in users' preferences in ambient assisted living
Oguego, C., Augusto, J., Springett, M., Quinde, M. and James-Reynolds, C. 2021. Using argumentation to solve conflicting situations in users' preferences in ambient assisted living. Applied Artificial Intelligence. 35 (15), pp. 2327-2369. https://doi.org/10.1080/08839514.2021.1966986Article
A digital twin framework for predictive maintenance in industry 4.0
Mihai, S., Davis, W., Hung, D., Trestian, R., Karamanoglu, M., Barn, B., Prasad, R., Venkataraman, H. and Nguyen, H. 2021. A digital twin framework for predictive maintenance in industry 4.0. HPCS 2020: 18th Annual Meeting. Barcelona, Spain (Online Virtual Conference) 22 - 27 Mar 2021 IEEE.Conference paper
COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization
Zebin, T. and Rezvy, S. 2021. COVID-19 detection and disease progression visualization: Deep learning on chest X-rays for classification and coarse localization. Applied Intelligence. 51 (2), pp. 1010-1021. https://doi.org/10.1007/s10489-020-01867-1Article
Formal verification of secondary authentication protocol for 5G secondary authentication
Edris, E., Aiash, M., Loo, J. and Alhakeem, M. 2021. Formal verification of secondary authentication protocol for 5G secondary authentication. International Journal of Security and Networks. 16 (4), pp. 223-234. https://doi.org/10.1504/IJSN.2021.119379Article
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