Methods for improving robustness against adversarial machine learning attacks (2023)
Thesis
McCarthy, A. Methods for improving robustness against adversarial machine learning attacks. (Thesis). University of the West of England. Retrieved from https://uwe-repository.worktribe.com/output/10492055

Machine learning systems can improve the efficiency of real-world tasks, including in the cyber security domain; however, these models are susceptible to adversarial attacks; indeed, an arms race exists between adversaries and defenders. The benefits... Read More about Methods for improving robustness against adversarial machine learning attacks.

Validation of the safety requirements of the landing gear using fault tree analysis (2022)
Journal Article
Iven, L., & Zaidi, Y. (2022). Validation of the safety requirements of the landing gear using fault tree analysis. CEAS Aeronautical Journal, 13, 503-520. https://doi.org/10.1007/s13272-022-00572-8

We analyze the functionality of the landing system of a regional aircraft in the extension and cruise flight modes and validate safety requirements through the fault tree analysis. The main landing gear system is captured in the electromechanical–flu... Read More about Validation of the safety requirements of the landing gear using fault tree analysis.

Development of design criteria for novel 3D-printed quadric-surfaced sludge digesters for wastewater infrastructure (2020)
Thesis
Ramroop, N. Development of design criteria for novel 3D-printed quadric-surfaced sludge digesters for wastewater infrastructure. (Thesis). University of the West of England. Retrieved from https://uwe-repository.worktribe.com/output/3633590

The quadric-surfaced sludge digester (QSD), also known as the egg-shaped sludge digester, has proven its advantages over traditional cylindrical digesters recently. A reduction in operational cost is the dominant factor. Its shell can be described as... Read More about Development of design criteria for novel 3D-printed quadric-surfaced sludge digesters for wastewater infrastructure.

A method for privacy-preserving context-aware mobile recommendations (2015)
Presentation / Conference
Polatidis, N., Georgiadis, C., Pimenidis, E., & Stiakakis, E. (2015, December). A method for privacy-preserving context-aware mobile recommendations. Paper presented at 6th International Conference on e-Democracy, Athens, Greece

Mobile recommender systems aim to solve the information overload problem found by recommending products or services to users of mobile smartphones or tables at any given point in time and in any possible location. Mobile recommender systems are desig... Read More about A method for privacy-preserving context-aware mobile recommendations.