A hybrid method for feature construction and selection to improve wind-damage prediction in the forestry sector
Hart, E., Sim, K., Gardiner, B., & Kamimura, K. (2017)
A hybrid method for feature construction and selection to improve wind-damage prediction in the forestry sector. In GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference, (1121-1128). https://doi.org/10.1145/3071178.3071217
Catastrophic damage to forests resulting from major storms has resulted in serious timber and financial losses within the sector across Europe in the recent past. Developing r...
Impact of selection methods on the diversity of many-objective Pareto set approximations
Martí, L., Segredo, E., Sánchez-Pi, N., & Hart, E. (2017)
Impact of selection methods on the diversity of many-objective Pareto set approximations. Procedia Computer Science, 112, (844-853). ISSN 1877-0509
Selection methods are a key component of all multi-objective and, consequently, many-objective optimisation evolutionary algorithms. They must perform two main tasks simultane...
Cognitive Internet of Everything (CIoE): State of the Art and Approaches
Jamnal, G. S., Liu, X., Fan, L., & Ramachandran, M. (2016)
Cognitive Internet of Everything (CIoE): State of the Art and Approaches. In R. Mihajlovic, M. Ramachandran, R. Behringer, & P. Kocovic (Eds.), Emerging Trends and Applications of the Internet of Things; Advances in Wireless Technologies and Telecommunication, 277-309. IGI Global. doi:10.4018/978-1-5225-2437-3.ch010
In today's world, we are living in busy metropolitan cities and want our homes to be ambient intelligent enough towards our cognitive requirements for assisted living in smart...
CACA-UAN: a context-aware communication approach to efficient and reliable underwater acoustic sensor networks
Liu, Q., Chen, X., Liu, X., & Linge, N. (2018)
CACA-UAN: a context-aware communication approach to efficient and reliable underwater acoustic sensor networks. International Journal of Sensor Networks, 26(1), 1. https://doi.org/10.1504/ijsnet.2018.088364
Underwater Acoustic Sensor Networks (UANs) have emerged as a promising technology recently which can be applied in many areas such as military and civil, where the communicati...
A Unifying Software Framework for Vehicle Routing and Logistics
Enenkel, J., Geyer, J., Keiner, J., Nguyen, J., Steuler, J. L., & Urquhart, N. (in press)
A Unifying Software Framework for Vehicle Routing and Logistics. In Conference proceedings
A wide range of open source tools and real world data are available to support those working on vehicle routing and logistics optimisation. Despite such tools being available ...
Combining parallel coordinates with multi-objective evolutionary algorithms in a real-world optimisation problem
Urquhart, N. (2017)
Combining parallel coordinates with multi-objective evolutionary algorithms in a real-world optimisation problem. In GECCO ’17 Companion, B, (1335-1340). https://doi.org/10.1145/3067695.3082485
Optimisation problems based upon real-world instances often contain many objectives. Many existing Multi-Objective Evolutionary Algorithm techniques return a set of solutions ...
Measuring perceived clutter in concept diagrams
Hou, T., Chapman, P., & Oliver, I. (2016)
Measuring perceived clutter in concept diagrams. In 2016 IEEE Symposium on Visual Languages and Human-Centric Computinghttps://doi.org/10.1109/vlhcc.2016.7739661
Clutter in a diagram can be broadly defined as how visually complex the diagram is. It may be that different users perceive clutter in different ways, however. Moreover, it ha...
Artificial Immunology for Collective Adaptive Systems Design and Implementation
Capodieci, N., Hart, E., & Cabri, G. (2016)
Artificial Immunology for Collective Adaptive Systems Design and Implementation. ACM transactions on autonomous and adaptive systems, 11(2), 1-25. https://doi.org/10.1145/2897372
Distributed autonomous systems consisting of large numbers of components with no central control point need to be able to dynamically adapt their control mechanisms to deal wi...
Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings
Bitterli, B., Rousselle, F., Moon, B., Iglesias-Guitián, J. A., Adler, D., Mitchell, K., …Novák, J. (2016)
Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings. Computer Graphics Forum, 35(4), 107-117. https://doi.org/10.1111/cgf.12954
We address the problem of denoising Monte Carlo renderings by studying existing approaches and proposing a new algorithm that yields state-of-the-art performance on a wide ran...
Real-Time Multi-View Facial Capture with Synthetic Training
Klaudiny, M., McDonagh, S., Bradley, D., Beeler, T., & Mitchell, K. (2017)
Real-Time Multi-View Facial Capture with Synthetic Training. Computer Graphics Forum, 36(2), 325-336. https://doi.org/10.1111/cgf.13129
We present a real-time multi-view facial capture system facilitated by synthetic training imagery. Our method is able to achieve high-quality markerless facial performance cap...