Outputs (180)

Virtual, augmented, mixed, and extended reality interventions in healthcare: a systematic review of health economic evaluations and cost-effectiveness (2023)
Journal Article
Gómez Bergin, A. D., & Craven, M. P. (2023). Virtual, augmented, mixed, and extended reality interventions in healthcare: a systematic review of health economic evaluations and cost-effectiveness. BMC Digital Health, 1(53), https://doi.org/10.1186/s44247-023-00054-9

Introduction

Health economic evaluations are required to best understand the value of interventions to the health economy. As extended reality technologies (an umbrella term including virtual, augmented, and mixed reality) become cheaper and more... Read More about Virtual, augmented, mixed, and extended reality interventions in healthcare: a systematic review of health economic evaluations and cost-effectiveness.

Digitally enabled food sharing platforms towards effective waste management in a circular economy: A system dynamics simulation model (2023)
Journal Article
Ranjbari, M., Shams Esfandabadi, Z., Siebers, P.-O., Pisano, P., & Quatraro, F. (2024). Digitally enabled food sharing platforms towards effective waste management in a circular economy: A system dynamics simulation model. Technovation, 130, Article 102939. https://doi.org/10.1016/j.technovation.2023.102939

As a solution to tackle the food waste (FW) challenge, digitally enabled food sharing platforms (FSPs) are emerging as FW warriors and anti-waste social movements. Despite the rapidly growing number of users, the amount of FW prevented per user in th... Read More about Digitally enabled food sharing platforms towards effective waste management in a circular economy: A system dynamics simulation model.

A benchmark dataset for multi-objective flexible job shop cell scheduling (2023)
Journal Article
Deliktaş, D., Özcan, E., Ustun, O., & Torkul, O. (2024). A benchmark dataset for multi-objective flexible job shop cell scheduling. Data in Brief, 52, Article 109946. https://doi.org/10.1016/j.dib.2023.109946

This data article presents a description of a benchmark dataset for the multi-objective flexible job shop scheduling problem in a cellular manufacturing environment. This problem considers intercellular moves, exceptional parts, sequence-dependent fa... Read More about A benchmark dataset for multi-objective flexible job shop cell scheduling.

Predictive Multi-Agent-Based Planning and Landing Controller for Reactive Dual-Arm Manipulation (2023)
Journal Article
Laha, R., Becker, M., Vorndamme, J., Vrabel, J., Figueredo, L. F., Müller, M. A., & Haddadin, S. (2024). Predictive Multi-Agent-Based Planning and Landing Controller for Reactive Dual-Arm Manipulation. IEEE Transactions on Robotics, 40, 864-885. https://doi.org/10.1109/TRO.2023.3341689

Future robots operating in fast-changing anthropomorphic environments need to be reactive, safe, flexible, and intuitively use both arms (comparable to humans) to handle task-space constrained manipulation scenarios. Furthermore, dynamic environments... Read More about Predictive Multi-Agent-Based Planning and Landing Controller for Reactive Dual-Arm Manipulation.

Ensemble strategy using particle swarm optimisation variant and enhanced local search capability (2023)
Journal Article
Hong, L., Wang, G., Özcan, E., & Woodward, J. (2023). Ensemble strategy using particle swarm optimisation variant and enhanced local search capability. Swarm and Evolutionary Computation, 84, Article 101452. https://doi.org/10.1016/j.swevo.2023.101452

Particle swarm optimisation is a population-based algorithm for evolutionary computation. A notable recent research direction has been to combine different effective mechanisms to enhance both exploration and exploitation capabilities while employing... Read More about Ensemble strategy using particle swarm optimisation variant and enhanced local search capability.

Working with t roubles and failures in conversation between humans and robots: workshop report (2023)
Journal Article
Förster, F., Romeo, M., Holthaus, P., Wood, L. J., Dondrup, C., Fischer, J. E., Liza, F. F., Kaszuba, S., Hough, J., Nesset, B., Hernández García, D., Kontogiorgos, D., Williams, J., Özkan, E. E., Barnard, P., Berumen, G., Price, D., Cobb, S., Wiltschko, M., Tisserand, L., …Kapetanios, E. (in press). Working with t roubles and failures in conversation between humans and robots: workshop report. Frontiers in Robotics and AI, 10, Article 1202306. https://doi.org/10.3389/frobt.2023.1202306

This paper summarizes the structure and findings from the first Workshop on Troubles and Failures in Conversations between Humans and Robots. The workshop was organized to bring together a small, interdisciplinary group of researchers working on misc... Read More about Working with t roubles and failures in conversation between humans and robots: workshop report.

Container port truck dispatching optimization using Real2Sim based deep reinforcement learning (2023)
Journal Article
Jin, J., Cui, T., Bai, R., & Qu, R. (2024). Container port truck dispatching optimization using Real2Sim based deep reinforcement learning. European Journal of Operational Research, 315(1), 161-175. https://doi.org/10.1016/J.EJOR.2023.11.038

In marine container terminals, truck dispatching optimization is often considered as the primary focus as it provides crucial synergy between the sea-side operations and yard-side activities and hence can greatly affect the terminal throughput and qu... Read More about Container port truck dispatching optimization using Real2Sim based deep reinforcement learning.

New directions in fitness evaluation: commentary on Langdon’s JAWS30 (2023)
Journal Article
Johnson, C. G. (2023). New directions in fitness evaluation: commentary on Langdon’s JAWS30. Genetic Programming and Evolvable Machines, 24(2), Article 22. https://doi.org/10.1007/s10710-023-09470-2

Langdon's paper emphasises the key role of fitness in GP, yet notes issues with current approaches to fitness: "In GP, as in most optimisation problems, most of the computation effort is spent on evaluating how good the proposed solutions are". The p... Read More about New directions in fitness evaluation: commentary on Langdon’s JAWS30.

A sequential quadratic programming based strategy for particle swarm optimization on single-objective numerical optimization (2023)
Journal Article
Hong, L., Yu, X., Tao, G., Özcan, E., & Woodward, J. (2024). A sequential quadratic programming based strategy for particle swarm optimization on single-objective numerical optimization. Complex and Intelligent Systems, 10(2), 2421-2443. https://doi.org/10.1007/s40747-023-01269-z

Over the last decade, particle swarm optimization has become increasingly sophisticated because well-balanced exploration and exploitation mechanisms have been proposed. The sequential quadratic programming method, which is widely used for real-param... Read More about A sequential quadratic programming based strategy for particle swarm optimization on single-objective numerical optimization.

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.