All Outputs (4)

Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon (2023)
Journal Article
Memon, H., Gjerde, E., Lynam, A., Chowdhury, A., De Maere, G., Figueredo, G., & Hussain, T. (2024). Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon. Engineering Applications of Artificial Intelligence, 128, Article 107465. https://doi.org/10.1016/j.engappai.2023.107465

The first-of-its-kind use of the active learning (AL) framework in thermal spray is adapted to enhance the prediction accuracy of the in-flight particle characteristics. The successful AL framework implementation via Bayesian Optimisation is benefici... Read More about Active learning-driven uncertainty reduction for in-flight particle characteristics of atmospheric plasma spraying of silicon.

Examples of user algorithms implementing ARAIM techniques for integrity performance prediction, procedures development and pre-flight operations (2017)
Conference Proceeding
Paternostro, S., Moore, T., Hill, C., Atkin, J., De Maere, G., & Morvan, H. (2017). Examples of user algorithms implementing ARAIM techniques for integrity performance prediction, procedures development and pre-flight operations. In 2016 8th ESA Workshop on Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC) (1-15). https://doi.org/10.1109/NAVITEC.2016.7849330

Advanced Receiver Autonomous Integrity Monitoring (ARAIM) is a new Aircraft Based Augmentation System (ABAS) technique, firstly presented in the two reports of the GNSS Evolutionary Architecture Study (GEAS). The ARAIM technique offers the opportunit... Read More about Examples of user algorithms implementing ARAIM techniques for integrity performance prediction, procedures development and pre-flight operations.

Integration of an ARAIM algorithm in the development of an instrument approach procedure and for pre-flight operational briefing (2016)
Presentation / Conference
Paternostro, S., Moore, T., Hill, C., Atkin, J., de Maere, G., & Morvan, H. (2016, November). Integration of an ARAIM algorithm in the development of an instrument approach procedure and for pre-flight operational briefing. Paper presented at International Navigation Conference of the Royal Institute of Navigation (INC 16), Glasgow, UK

Advanced Receiver Autonomous Integrity Monitoring (ARAIM) offers the opportunity to enable Global Navigation Satellite System (GNSS) receivers to serve as a primary means of navigation, worldwide, for precision approach down to Localizer Performance... Read More about Integration of an ARAIM algorithm in the development of an instrument approach procedure and for pre-flight operational briefing.

2Zero project D5.1 Modelling And Simulation Report
Report
Atkin, J., Karapetyan, D., De Maere, G., He, Y., Jackson, W., El Krari, M., & Siggs, T. 2Zero project D5.1 Modelling And Simulation Report. Innovate UK

This report summarises the work in the Modelling and Simulation Work Package, WP 2, of the 2Zero project (funded by Innovate UK, grant agreement number 74829) under UKRI’s Future Flight Challenge Fund. It discusses the simulation that was built, how... Read More about 2Zero project D5.1 Modelling And Simulation Report.