All Outputs (8)

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.

Scheduling airline reserve crew using a probabilistic crew absence and recovery model (2019)
Journal Article
Bayliss, C., De Maere, G., Atkin, J. A., & Paelinck, M. (2020). Scheduling airline reserve crew using a probabilistic crew absence and recovery model. Journal of the Operational Research Society, 71(4), 543-565. https://doi.org/10.1080/01605682.2019.1567649

Airlines require reserve crew to replace delayed or absent crew, with the aim of preventing consequent flight cancellations. A reserve crew schedule specifies the duty periods for which different reserve crew will be on standby to replace any absent... Read More about Scheduling airline reserve crew using a probabilistic crew absence and recovery model.

Human performance and strategies while solving an aircraft routing and sequencing problem: an experimental approach (2018)
Journal Article
Argyle, E. M., Houghton, R. J., Atkin, J., de Maere, G., Moore, T., & Morvan, H. (2018). Human performance and strategies while solving an aircraft routing and sequencing problem: an experimental approach. Cognition, Technology and Work, 20(3), 425–441. https://doi.org/10.1007/s10111-018-0480-4

As airport resources are stretched to meet increasing demand for services, effective use of ground infrastructure is increasingly critical for ensuring operational efficiency. Work in operations research has produced algorithms providing airport towe... Read More about Human performance and strategies while solving an aircraft routing and sequencing problem: an experimental approach.

Hybrid learning for interval type-2 intuitionistic fuzzy logic systems as applied to identification and prediction problems (2018)
Journal Article
Eyoh, I., John, R., de Maere, G., & Kayacan, E. (2018). Hybrid learning for interval type-2 intuitionistic fuzzy logic systems as applied to identification and prediction problems. IEEE Transactions on Fuzzy Systems, 26(5), 2672-2685. https://doi.org/10.1109/TFUZZ.2018.2803751

This paper presents a novel application of a hybrid learning approach to the optimisation of membership and non-membership functions of a newly developed interval type-2 intuitionistic fuzzy logic system (IT2 IFLS) of a Takagi-Sugeno-Kang (TSK) fuzzy... Read More about Hybrid learning for interval type-2 intuitionistic fuzzy logic systems as applied to identification and prediction problems.

Interval type-2 A-intuitionistic fuzzy logic for regression problems (2017)
Journal Article
Eyoh, I., John, R., & de Maere, G. (2018). Interval type-2 A-intuitionistic fuzzy logic for regression problems. IEEE Transactions on Fuzzy Systems, 26(4), 2396-2408. https://doi.org/10.1109/TFUZZ.2017.2775599

This paper presents an approach to prediction based on a new interval type-2 Atanassov-intuitionistic fuzzy logic system (IT2AIFLS) of Takagi-Sugeno-Kang (TSK) fuzzy inference with neural network learning capability. The gradient descent (GD) algorit... Read More about Interval type-2 A-intuitionistic fuzzy logic for regression problems.

Pruning Rules for Optimal Runway Sequencing (2017)
Journal Article
De Maere, G., Atkin, J. A. D., & Burke, E. K. (2018). Pruning Rules for Optimal Runway Sequencing. Transportation Science, 52(4), 739-1034. https://doi.org/10.1287/trsc.2016.0733

This paper investigates runway sequencing for real world scenarios at one of the world's busiest airports, London Heathrow. Several pruning principles are introduced that enable significant reductions of the problem's average complexity, without comp... Read More about Pruning Rules for Optimal Runway Sequencing.

A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty (2016)
Journal Article
Bayliss, C., De Maere, G., Atkin, J. A. D., & Paelinck, M. (2017). A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty. Annals of Operations Research, 252(2), 335-363. https://doi.org/10.1007/s10479-016-2174-8

© 2016, The Author(s). The environment in which airlines operate is uncertain for many reasons, for example due to the effects of weather, traffic or crew unavailability (due to delay or sickness). This work focuses on airline reserve crew scheduling... Read More about A simulation scenario based mixed integer programming approach to airline reserve crew scheduling under uncertainty.

Pruning rules for optimal runway sequencing with airline preferences (2015)
Journal Article
DE MAERE, G., & ATKIN, J. (2015). Pruning rules for optimal runway sequencing with airline preferences. Lecture Notes in Management Science, 7, 76-82