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Outputs (471)

Low‐gain integral control for a class of discrete‐time Lur'e systems with applications to sampled‐data control (2022)
Journal Article
Guiver, C., Rebarber, R., & Townley, S. (2023). Low‐gain integral control for a class of discrete‐time Lur'e systems with applications to sampled‐data control. International Journal of Robust and Nonlinear Control, 33(3), 1410-1437. https://doi.org/10.1002/rnc.6455

We study low-gain (P)roportional (I)ntegral control of multivariate discrete-time, forced Lur’e systems to solve the output-tracking problem for constant reference signals. We formulate an incremental sector condition which is sufficient for a usual... Read More about Low‐gain integral control for a class of discrete‐time Lur'e systems with applications to sampled‐data control.

An Efficient Optimization of Battery-Drone-Based Transportation Systems for Monitoring Solar Power Plant (2022)
Journal Article
Jemmali, M., Bashir, A. K., Boulila, W., Melhim, L. K. B., Jhaveri, R. H., & Ahmad, J. (2023). An Efficient Optimization of Battery-Drone-Based Transportation Systems for Monitoring Solar Power Plant. IEEE Transactions on Intelligent Transportation Systems, 24(12), 15633 - 15641. https://doi.org/10.1109/tits.2022.3219568

Nowadays, developing environmental solutions to ensure the preservation and sustainability of natural resources is one of the core research topics for providing a better life quality. Using renewable energy sources, such as solar energy, is one of th... Read More about An Efficient Optimization of Battery-Drone-Based Transportation Systems for Monitoring Solar Power Plant.

An adaptive large neighbourhood search metaheuristic for hourly learning activity planning in personalised learning (2022)
Journal Article
Wouda, N. A., Aslan, A., & Vis, I. F. (2023). An adaptive large neighbourhood search metaheuristic for hourly learning activity planning in personalised learning. Computers and Operations Research, 151, Article 106089. https://doi.org/10.1016/j.cor.2022.106089

Personalised learning offers an alternative method to one-size-fits-all education in schools, and has seen increasing adoption over the past several years. Personalised learning’s focus on learner-driven education requires novel scheduling methods. I... Read More about An adaptive large neighbourhood search metaheuristic for hourly learning activity planning in personalised learning.

DEF-Net: A Dual-Encoder Fusion Network for Fundus Retinal Vessel Segmentation (2022)
Journal Article
Li, J., Gao, G., Yang, L., Liu, Y., & Yu, H. (2022). DEF-Net: A Dual-Encoder Fusion Network for Fundus Retinal Vessel Segmentation. Electronics, 11(22), Article 3810. https://doi.org/10.3390/electronics11223810

The deterioration of numerous eye diseases is highly related to the fundus retinal structures, so the automatic retinal vessel segmentation serves as an essential stage for efficient detection of eye-related lesions in clinical practice. Segmentation... Read More about DEF-Net: A Dual-Encoder Fusion Network for Fundus Retinal Vessel Segmentation.

Long run productivity and profitability in the British bus industry (2022)
Journal Article
Cowie, J. (2023). Long run productivity and profitability in the British bus industry. Research in Transportation Business & Management, 46, Article 100911. https://doi.org/10.1016/j.rtbm.2022.100911

The passing of the Transport Act 1985 deregulated and privatised the bus industry in Great Britain outside of London, however failed to address the prime specified aim of reversing the long run decline in patronage. Review of the literature suggests... Read More about Long run productivity and profitability in the British bus industry.

From a network model to a model network: strategies for network development to narrow the LIS research–practice gap (2022)
Journal Article
Hall, H., Ryan, B. M., Salzano, R., & Stephen, K. (2023). From a network model to a model network: strategies for network development to narrow the LIS research–practice gap. Journal of Documentation, 79(3), 757-783. https://doi.org/10.1108/JD-04-2022-0088

Purpose
The purpose of the empirical study was to examine whether strategies shown to work well in one model of network development for library and information science (LIS) practitioners and researchers could be applied successfully in the developm... Read More about From a network model to a model network: strategies for network development to narrow the LIS research–practice gap.

France’s plan for solar panels on all car parks is just the start of an urban renewable revolution (2022)
Digital Artefact
Ryan, D. (2022). France’s plan for solar panels on all car parks is just the start of an urban renewable revolution. [Blog post]

France has approved legislation that will require all car parks with more than 80 spaces to be covered over by solar panels. This is part of a wider programme that will see solar panels occupy derelict lots, vacant land alongside roads and railways,... Read More about France’s plan for solar panels on all car parks is just the start of an urban renewable revolution.

Modelling of a Large Solar PV Facility: England’s Mallard Solar Farm Case Study (2022)
Journal Article
Muneer, T., Gul, M. S., & Alam, M. (2022). Modelling of a Large Solar PV Facility: England’s Mallard Solar Farm Case Study. Energies, 15(22), Article 8609. https://doi.org/10.3390/en15228609

With reference to energy generation, the global society has to urgently address three factors that are now critical: sustainability in terms of climate change, security in terms of the war that is currently raging in Europe with consequences that are... Read More about Modelling of a Large Solar PV Facility: England’s Mallard Solar Farm Case Study.