Outputs (20)

Optimizing Echo State Networks for Static Pattern Recognition (2017)
Journal Article
Wooton, A. J., Taylor, S. L., Day, C., & Haycock, P. W. (2017). Optimizing Echo State Networks for Static Pattern Recognition. Cognitive Computation, 391-399. https://doi.org/10.1007/s12559-017-9468-2

Static pattern recognition requires a machine to classify an object on the basis of a combination of attributes and is typically performed using machine learning techniques such as support vector machines and multilayer perceptrons. Unusually, in thi... Read More about Optimizing Echo State Networks for Static Pattern Recognition.

Using Convolutional Neural Network for Edge Detection in Musculoskeletal Ultrasound Images (2016)
Presentation / Conference Contribution
Jabbar, S. I., Day, C. R., Heinz, N., & Chadwick, E. K. (2016, July). Using Convolutional Neural Network for Edge Detection in Musculoskeletal Ultrasound Images. Presented at International Joint Conference on Neural Networks, Vancouver

Fast and accurate segmentation of musculoskeletal ultrasound images is an on-going challenge. Two principal factors make this task difficult: firstly, the presence of speckle noise arising from the interference that accompanies all coherent imaging a... Read More about Using Convolutional Neural Network for Edge Detection in Musculoskeletal Ultrasound Images.

An Echo State Network Approach to Structural Health Monitoring (2015)
Presentation / Conference Contribution
Wootton, A., Day, C., & Haycock, P. (2015, July). An Echo State Network Approach to Structural Health Monitoring. Presented at International Joint Conference On Neural Networks 2015, Killarney

Echo State Networks (ESNs) have been applied to time-series data arising from a structural health monitoring multi-sensor array placed onto a test footbridge which has been subjected to a number of potentially damaging interventions over a three year... Read More about An Echo State Network Approach to Structural Health Monitoring.

Defect detection in reinforced concrete using random neural architectures (2013)
Journal Article
Butcher, J., Day, C., Austin, J., Haycock, P., Verstraeten, D., & Schrauwen, B. (2014). Defect detection in reinforced concrete using random neural architectures. Computer-Aided Civil and Infrastructure Engineering, 29(3), 191-207. https://doi.org/10.1111/mice.12039

Detecting defects within reinforced concrete is vital to the safety and durability of our built infrastructure upon which we heavily rely. In this work a non-invasive technique, ElectroMagnetic Anomaly Detection (EMAD), is used which provides informa... Read More about Defect detection in reinforced concrete using random neural architectures.

Comparison method to differentiate between painted objects using polychromatic X-rays (2010)
Journal Article
Austin, J. C., Day, C. R., Kearon, A. T., Evans, D. L., & Haycock, P. W. (2010). Comparison method to differentiate between painted objects using polychromatic X-rays. Insight - Non-Destructive Testing & Condition Monitoring, 52(3), 140-143. https://doi.org/10.1784/insi.2010.52.3.140

X-radiography using the bremsstrahlung of a commercial broad spectrum X-ray source was used to quantify the differences and relationships between complex samples of unknown composition. The samples examined were painted and glazed ceramic mugs. The r... Read More about Comparison method to differentiate between painted objects using polychromatic X-rays.

Single element mapping in radiography (2009)
Journal Article
Austin, J. C., Day, C. R., Kearon, A. T., & Haycock, P. W. (2009). Single element mapping in radiography. X-Ray Spectrometry, 38(6), 492-504. https://doi.org/10.1002/xrs.1204

This article reports on the application of element-specific mapping using the Bremsstrahlung of a commercial broad spectrum X-ray source to map lighter elements (zirconium to tin) and heavier elements (tantalum to bismuth) individually within an imag... Read More about Single element mapping in radiography.

Element-specific determination of X-ray transmission signatures using neural networks (2009)
Journal Article
Day, C. R., Austin, J. C., Butcher, J. B., Haycock, P. W., & Kearon, A. T. (2009). Element-specific determination of X-ray transmission signatures using neural networks. NDT and E International, 42(5), 446-451. https://doi.org/10.1016/j.ndteint.2009.02.005

In this article, we report on the application of neural networks to the problem of making an element-specific determination of unknown metal targets based on the characteristics of their transmitted X-ray signatures. Our method was applied to two gro... Read More about Element-specific determination of X-ray transmission signatures using neural networks.

Using polychromatic X-radiography to examine realistic imitation firearms (2008)
Journal Article
Austin, J., Day, C., Kearon, A., Valussi, S., & Haycock, P. (2008). Using polychromatic X-radiography to examine realistic imitation firearms. Forensic Science International, 191(1-3), 26-31. https://doi.org/10.1016/j.forsciint.2008.08.007

Sections 36–41 of the Violent Crimes Reduction Act (2006), which came into force in England and Wales on 1st October 2007, have placed significant restrictions on the sale and possession of ‘realistic imitation firearms’. This legislation attempts to... Read More about Using polychromatic X-radiography to examine realistic imitation firearms.

Characterisation of metallic powder impregnated pastes using polychromatic X-radiography (2008)
Journal Article
Austin, J. C., Day, C. R., Kearon, A. T., Valussi, S., & Haycock, P. W. (2008). Characterisation of metallic powder impregnated pastes using polychromatic X-radiography. Insight - Non-Destructive Testing & Condition Monitoring, 50(10), 550-553. https://doi.org/10.1784/insi.2008.50.10.550

This article reports on the employment of X-radiography using the bremsstrahlung of a commercial broad-spectrum X-ray source to quantify the differences and relationships between complex materials of unknown composition. The materials examined were m... Read More about Characterisation of metallic powder impregnated pastes using polychromatic X-radiography.

A coarse-grained spectral signature generator (2007)
Presentation / Conference Contribution
Lam, K., Austin, J., & Day, C. (2007, May). A coarse-grained spectral signature generator. Presented at Eighth International Conference on Quality Control by Artificial Vision, Le Creusot, France

This paper investigates the method for object fingerprinting in the context of element specific x-ray imaging. In particular, the use of spectral descriptors that are illumination invariant and viewpoint independent for pattern identification was exa... Read More about A coarse-grained spectral signature generator.