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Optimising Decarbonisation Investment for Firms towards Environmental Sustainability (2019)
Journal Article
Tran, T., Mao, Y., & Siebers, P. (2019). Optimising Decarbonisation Investment for Firms towards Environmental Sustainability. Sustainability, 11(20), https://doi.org/10.3390/su11205718

We develop a mixed-integer non-linear programming model for firms’ decarbonisation investment decision-making towards a sustainable environment. Our model seeks the optimal investment for a firm to achieve maximum profit under constraints derived fro... Read More

Towards In-field, Live Phenotyping using a Reduced-Parameter CNN (2019)
Journal Article
Atanbori, J., French, A. P., & Pridmore, T. P. (in press). Towards In-field, Live Phenotyping using a Reduced-Parameter CNN. Machine Vision and Applications,

There is an increase in consumption of agricultural produce as a result of the rapidly growing human population, particularly in developing nations. This has triggered high-quality plant phenotyping re- search to help with the breeding of high yieldi... Read More

Deep Reinforcement Learning based Patch Selection for Illuminant Estimation (2019)
Journal Article
Xu, B., Liu, J., Hou, X., Liu, B., & Qiu, G. (2019). Deep Reinforcement Learning based Patch Selection for Illuminant Estimation. Image and Vision Computing, https://doi.org/10.1016/j.imavis.2019.08.002

Previous deep learning based approaches to illuminant estimation either resized the raw image to lower resolution or randomly cropped image patches for the deep learning model. However, such practices would inevitably lead to information loss or the... Read More

Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study (2019)
Journal Article
Canizo, M., Triguero, I., Conde, A., & Onieva, E. (2019). Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study. Neurocomputing, 363, 246-260. https://doi.org/10.1016/j.neucom.2019.07.034

Detecting anomalies in time series data is becoming mainstream in a wide variety of industrial applications in which sensors monitor expensive machinery. The complexity of this task increases when multiple heterogeneous sensors provide information of... Read More

A comparison of presentation methods for conducting youth juries (2019)
Journal Article
Dowthwaite, L., Perez Vallejos, E., Koene, A., Cano, M., & Portillo, V. (2019). A comparison of presentation methods for conducting youth juries. PLoS ONE, 14(6), doi:10.1371/journal.pone.0218770

The 5Rights Youth Juries are an educational intervention to promote digital literacy by engaging participants (i.e. jurors) in a deliberative discussion around their digital rights. The main objective of these jury-styled focus groups is to encourage... Read More

The Living Room of the Future (2019)
Conference Proceeding
Sailaja, N., Colley, J., Crabtree, A., Gradinar, A., Coulton, P., Forrester, I., …Stenton, P. (2019). The Living Room of the Future. In TVX '19: Proceedings of the 2019 ACM International Conference on Interactive Experiences for TV and Online Videodoi:10.1145/3317697.3323360

Emergent media services are turning towards the use of audience data to deliver more personalised and immersive experiences. We present the Living Room of The Future (LRoTF), an embodied design fiction built to both showcase future adaptive physicall... Read More

Evaluating automated machine learning on supervised regression traffic forecasting problems (2019)
Book Chapter
Angarita-Zapata, J. S., Masegosa, A. D., & Triguero, I. (in press). Evaluating automated machine learning on supervised regression traffic forecasting problems. In Computational intelligence in emerging technologies for engineering applicationsSpringer

Traffic Forecasting is a well-known strategy that supports road users and decision-makers to plan their movements on the roads and to improve the management of traffic, respectively. Current data availability and growing computational capacities have... Read More

A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective (2019)
Journal Article
Angarita-Zapata, J. S., Masegosa, A. D., & Triguero, I. (2019). A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective. IEEE Access, 7, 68185 -68205. doi:10.1109/ACCESS.2019.2917228

One contemporary policy to deal with traffic congestion is the design and implementation of forecasting methods that allow users to plan ahead of time and decision makers to improve traffic management. Current data availability and growing computatio... Read More

Designing and evaluating mobile self-reporting techniques: crowdsourcing for citizen science (2019)
Journal Article
Younis, E. M. G., Kanjo, E., & Chamberlain, A. (2019). Designing and evaluating mobile self-reporting techniques: crowdsourcing for citizen science. Personal and Ubiquitous Computing, 23(2), 329-338. doi:10.1007/s00779-019-01207-2

In recent years, mobile phone technology has taken tremendous leaps and bounds to enable all types of sensing applications and interaction methods, including mobile journaling and self-reporting to add metadata and to label sensor data streams. Mobil... Read More

Citizen science and the professional-amateur divide: lessons from differing online practices (2019)
Journal Article
Dowthwaite, L., & Sprinks, J. (2019). Citizen science and the professional-amateur divide: lessons from differing online practices. JCOM: Journal of Science Communication, 18(01), doi:10.22323/2.18010206

Online citizen science platforms increasingly provide types of infrastructural support previously only available to organisationally-based professional scientists. Other practices, such as creative arts, also exploit the freedom and accessibility aff... Read More

Deep learning approaches to aircraft maintenance, repair and overhaul: a review (2018)
Conference Proceeding
Rengasami, D., Morvan, H., & Patrocinio Figueredo, G. (2018). Deep learning approaches to aircraft maintenance, repair and overhaul: a review. In 21st IEEE International Conference on Intelligent Transportation Systems

The use of sensor technology constantly gathering aircrafts' status data has promoted the rapid development of data-driven solutions in aerospace engineering. These methods assist, for instance, with determining appropriate actions for aircraft maint... Read More

Exploring relationships between museum artefacts through spatial interaction (2018)
Conference Proceeding
Ali, S., Bedwell, B., & Koleva, B. (2018). Exploring relationships between museum artefacts through spatial interaction. In NordiCHI '18: Proceedings of the 10th Nordic Conference on Human-Computer Interaction, 224-235. doi:10.1145/3240167.3240217

We propose a novel approach, which involves visitors physically manipulating visual representations of artefacts and scanning with their mobile phone different groups or sequences of items in order to reveal digital information about their relationsh... Read More

A landscape of design: interaction, interpretation and the development of experimental expressive interfaces (2018)
Book
Chamberlain, A., Bødker, M., De Roure, D., Willcox, P., Emsley, I., & Malizia, A. (2018). A landscape of design: interaction, interpretation and the development of experimental expressive interfaces. In Human-computer interaction: theories, methods, and human issues: 20th International Conference, HCI International 2018, Las Vegas, NV, USA, July 15–20, 2018, Proceedings, Part I, 24-34. Cham: Springer International Publishing. doi:10.1007/978-3-319-91238-7_3

This paper presents the initial research insights of an ongoing research project that focuses upon understanding the role of landscape, its use as a resource for designing interfaces for musical expression, and as a tool for leveraging ethnographic u... Read More

Between functions and relations in calculating programs (1992)
Thesis
Hutton, G. M. Between functions and relations in calculating programs. (Thesis). University of Glasgow. Retrieved from https://nottingham-repo...ribe.com/output/1164861

This thesis is about the calculational approach to programming, in which one derives programs from specifications. One such calculational paradigm is Ruby, the relational calculus developed by Jones and Sheeran for describing and designing circuits.... Read More