Items where Division is "College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Software Engineering & Cybersecurity" and Year is 2024

Article

Chang, Victor, Sajeev, Sreeram, Xu, Qianwen Ariel, Tan, Mengmeng and Wang, Hai (2024). Football Analytics: Assessing the Correlation between Workload, Injury and Performance of Football Players in the English Premier League. Applied Sciences, 14 (16),

Chang, Victor, Xu, Qianwen Ariel, Chidozie, Anyamele and Wang, Hai (2024). Predicting Economic Trends and Stock Market Prices with Deep Learning and Advanced Machine Learning Techniques. Electronics, 13 (17),

McMullan, Andrew, Mifsud, J., Jelly, T.O. and Angelino, M. (2024). Using Large Eddy Simulation to predict fluid residence time in a test ventilated room. European Journal of Mechanics - B/Fluids, 108 , pp. 73-89.

Torrao, Guilhermina, Htait, Amal and Wong, Sylvia (2024). Perceptions of Women’s Safety in Transient Environments and the Potential Role of AI in Enhancing Safety: An Inclusive Mobility Study in India. Sustainability, 16 (19),

Book Section

Fouad, Shereen, Hakobyan, Lilit, Kavakli, Manolya, Atkins, Sarah, Bhatia, Bahadar, Rajasekaran, Arvind, Nagori, Pankaj, Morlese, John, Fratini, Antonio and E. Ihongbe, Izegbua (2024). CHERIE: User-Centred Development of an XAI System for Chest Radiology through Co-Design. IN: 37th International BCS Human-Computer Interaction Conference. ACM.

Naik, Dishita and Naik, Nitin (2024). The Changing Landscape of Machine Learning: A Comparative Analysis of Centralized Machine Learning, Distributed Machine Learning and Federated Machine Learning. IN: Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6–8, 2023, Birmingham, UK. Naik, Nitin; Jenkins, Paul; Grace, Paul; Yang, Longzhi and Pratapat, Shaligram (eds) Advances in Computational Intelligence Systems . Springer, Cham.

Naik, Dishita and Naik, Nitin (2024). An Introduction to Federated Learning: Working, Types, Benefits and Limitations. IN: Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6–8, 2023, Birmingham, UK. Naik, Nitin; Jenkins, Paul; Grace, Paul; Yang, Longzhi and Prajapat, Shaligram (eds) Advances in Computational Intelligence Systems . Springer, Cham.

Naik, Ishita, Naik, Dishita and Naik, Nitin (2024). Artificial Intelligence (AI) Applications in Chemistry. IN: Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6–8, 2023, Birmingham, UK. Naik, Nitin; Jenkins, Paul; Grace, Paul; Yang, Longzhi and Prajapat, Shaligram (eds) Advances in Computational Intelligence Systems . Springer.

Naik, Ishita, Naik, Dishita and Naik, Nitin (2024). Demystifying the Working, Types, Benefits and Limitations of Chatbots. IN: Contributions Presented at the 22nd UK Workshop on Computational Intelligence (UKCI 2023), September 6–8, 2023, Birmingham, UK. Naik, Nitin; Jenkins, Paul; Grace, Paul; Yang, Longzhi and Prajapat, Shaligram (eds) Advances in Computational Intelligence Systems . Springer, Cham.

Monograph

M. Czekster, Ricardo (2024). Continuous risk assessment in secure DevOps. Other. arXiv.org.

M. Czekster, Ricardo, Garcia Perez, Alexeis, Kavakli-Thorne, Manolya, Allah El Mesloul Nasri, Seif and Shaikh, Siraj (2024). Cyber-physical and business perspectives using Federated Digital Twins in multinational and multimodal transportation systems. Other. arXiv.org.