Outputs (1468)

Single-Walled Carbon-Nanotubes-Based Organic Memory Structures (2016)
Journal Article
Fakher, S., Nejm, R., Ayesh, A., AL-Ghaferi, A., Zeze, D., & Mabrook, M. (2016). Single-Walled Carbon-Nanotubes-Based Organic Memory Structures. Molecules, 21(9), Article 1166. https://doi.org/10.3390/molecules21091166

The electrical behaviour of organic memory structures, based on single-walled carbon-nanotubes (SWCNTs), metal–insulator–semiconductor (MIS) and thin film transistor (TFT) structures, using poly(methyl methacrylate) (PMMA) as the gate dielectric, are... Read More about Single-Walled Carbon-Nanotubes-Based Organic Memory Structures.

Investigating the flood responsiveness of Small and Medium Enterprises using agent-based modelling and simulation (2016)
Journal Article
Coates, G., Li, C., Wright, N., & Ahilan, S. (2016). Investigating the flood responsiveness of Small and Medium Enterprises using agent-based modelling and simulation. International Journal of Safety and Security Engineering, 6(3), 627-635. https://doi.org/10.2495/safe-v6-n3-627-635

In recent years, flooding has caused major damage and disruption to businesses in the United Kingdom (UK) resulting in significant losses to the economy. The effect of flooding on Small and Medium Enterprises (SMEs) is of particular importance given... Read More about Investigating the flood responsiveness of Small and Medium Enterprises using agent-based modelling and simulation.

Evolution of Electronic Circuits using Carbon Nanotube Composites (2016)
Journal Article
Massey, M., Kotsialos, A., Volpati, D., Vissol-Gaudin, E., Pearson, C., Bowen, L., …Petty, M. (2016). Evolution of Electronic Circuits using Carbon Nanotube Composites. Scientific Reports, 6, Article 32197. https://doi.org/10.1038/srep32197

Evolution-in-materio concerns the computer controlled manipulation of material systems using external stimuli to train or evolve the material to perform a useful function. In this paper we demonstrate the evolution of a disordered composite material,... Read More about Evolution of Electronic Circuits using Carbon Nanotube Composites.

Real-time timeline summarisation for high-impact events in Twitter (2016)
Presentation / Conference Contribution
Zhou, Y., Kanhabua, N., & Cristea, A. (2016, August). Real-time timeline summarisation for high-impact events in Twitter. Presented at ECAI 2016, The Hague

Twitter has become a valuable source of event-related information, namely, breaking news and local event reports. Due to its capability of transmitting information in real-time, Twitter is further exploited for timeline summarisation of high-impact e... Read More about Real-time timeline summarisation for high-impact events in Twitter.

Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow (2016)
Presentation / Conference Contribution
Hamilton, O., & Breckon, T. (2016, September). Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow. Presented at 2016 IEEE International Conference on Image Processing., Phoenix, AZ, USA

Mapping an ever changing urban environment is a challenging task as we are generally interested in mapping the static scene and not the dynamic objects, such as cars and people. We propose a novel approach to the problem of dynamic object removal wit... Read More about Generalized Dynamic Object Removal for Dense Stereo Vision Based Scene Mapping using Synthesised Optical Flow.

Transfer Learning Using Convolutional Neural Networks For Object Classification Within X-Ray Baggage Security Imagery (2016)
Presentation / Conference Contribution
Akcay, S., Kundegorski, M., Devereux, M., & Breckon, T. (2016, September). Transfer Learning Using Convolutional Neural Networks For Object Classification Within X-Ray Baggage Security Imagery. Presented at 2016 IEEE International Conference on Image Processing., Phoenix, AZ, USA

We consider the use of transfer learning, via the use of deep Convolutional Neural Networks (CNN) for the image classification problem posed within the context of X-ray baggage security screening. The use of a deep multi-layer CNN approach, tradition... Read More about Transfer Learning Using Convolutional Neural Networks For Object Classification Within X-Ray Baggage Security Imagery.

Reliability and condition monitoring (2016)
Book Chapter
Zappalá, D., Crabtree, C., & Tavner, P. (2016). Reliability and condition monitoring. In S. Hogg, & C. Crabtree (Eds.), UK Wind Energy Technologies (76-136). Routledge

Efficient Comparison of Massive Graphs Through The Use Of 'Graph Fingerprints' (2016)
Presentation / Conference Contribution
Bonner, S., Brennan, J., Theodoropoulos, G., Kureshi, I., & McGough, A. (2016, August). Efficient Comparison of Massive Graphs Through The Use Of 'Graph Fingerprints'. Presented at Twelfth Workshop on Mining and Learning with Graphs (MLG) at KDD'16., San Francisco, USA

The problem of how to compare empirical graphs is an area of great interest within the field of network science. The ability to accurately but efficiently compare graphs has a significant impact in such areas as temporal graph evolution, anomaly dete... Read More about Efficient Comparison of Massive Graphs Through The Use Of 'Graph Fingerprints'.

SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder (2016)
Presentation / Conference Contribution
Al Moubayed, N., Breckon, T., Matthews, P., & McGough, A. (2016, August). SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder

In This paper we present a novel approach to spam filtering and demonstrate its applicability with respect to SMS messages. Our approach requires minimum features engineering and a small set of labelled data samples. Features are extracted using topi... Read More about SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder.

Low friction droplet transportation on a substrate with a selective Leidenfrost effect (2016)
Journal Article
Dodd, L. E., Geraldi, N. R., Xu, B. B., McHale, G., Wells, G. G., Stuart-Cole, S., …Wood, D. (2016). Low friction droplet transportation on a substrate with a selective Leidenfrost effect. ACS Applied Materials and Interfaces, 8(34), 22658-22663. https://doi.org/10.1021/acsami.6b06738

An energy saving Leidenfrost levitation method is introduced to transport micro-droplets with virtually frictionless contact between the liquid and solid substrate. By micro-engineering the heating units, selective areas of the whole substrate can be... Read More about Low friction droplet transportation on a substrate with a selective Leidenfrost effect.