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Understanding labour exploitation in the Spanish agricultural sector using an agent based approach (2018)
Journal Article
Chesney, T., Evans, K., Gold, S., & Trautrims, A. (2019). Understanding labour exploitation in the Spanish agricultural sector using an agent based approach. Journal of Cleaner Production, 214, 696-704. https://doi.org/10.1016/j.jclepro.2018.12.282

Using an agent-based model we explore the model of slavery in modern business developed by Crane (2013). Taking the Spanish agricultural sector—specifically the area of Campo de Dalías in Almería where much of Europe's vegetables are grown—as a case,... Read More about Understanding labour exploitation in the Spanish agricultural sector using an agent based approach.

The Connected Shower: Studying Intimate Data in Everyday Life (2018)
Journal Article
Kwon, H., Fischer, J. E., Flintham, M., & Colley, J. (2018). The Connected Shower: Studying Intimate Data in Everyday Life. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(4), 1-22. https://doi.org/10.1145/3287054

This paper presents the design and field study of the Connected Shower, a bespoke IoT device that captures water flow, temperature, shower-head movement, and shower product weight. We deployed the device in six UK homes for a week to understand the u... Read More about The Connected Shower: Studying Intimate Data in Everyday Life.

Neurovascular structures in human vastus lateralis muscle and the ideal biopsy site (2018)
Journal Article
Chen, X., Abbey, S., Bharmal, A., Harris, S., Hudson, E., Krinner, L., …Billeter, R. (2019). Neurovascular structures in human vastus lateralis muscle and the ideal biopsy site. Scandinavian Journal of Medicine and Science in Sports, 29(4), 504-514. https://doi.org/10.1111/sms.13369

A density model of neurovascular structures was generated from 28 human vastus lateralis muscles isolated from embalmed cadavers. The intramuscular portion of arteries, veins and nerves was dissected, traced on transparencies and digitised before adj... Read More about Neurovascular structures in human vastus lateralis muscle and the ideal biopsy site.

Handling uncertainty in citizen science data: towards an improved amateur-based large-scale classification (2018)
Journal Article
Jiménez, M., Triguero, I., & John, R. (2019). Handling uncertainty in citizen science data: towards an improved amateur-based large-scale classification. Information Sciences, 479, 301-320. https://doi.org/10.1016/j.ins.2018.12.011

© 2018 Citizen Science, traditionally known as the engagement of amateur participants in research, is showing great potential for large-scale processing of data. In areas such as astronomy, biology, or geo-sciences, where emerging technologies genera... Read More about Handling uncertainty in citizen science data: towards an improved amateur-based large-scale classification.

Talking with Alexa (2018)
Journal Article
Reeves, S., & Porcheron, M. (2018). Talking with Alexa. Psychologist, 31,

Postnatal gestational age estimation of newborns using Small Sample Deep Learning (2018)
Journal Article
Torres Torres, M., Valstar, M., Henry, C., Ward, C., & Sharkey, D. (2019). Postnatal gestational age estimation of newborns using Small Sample Deep Learning. Image and Vision Computing, 83-84, 87-99. https://doi.org/10.1016/j.imavis.2018.09.003

© 2018 A baby's gestational age determines whether or not they are premature, which helps clinicians decide on suitable post-natal treatment. The most accurate dating methods use Ultrasound Scan (USS) machines, but these are expensive, require traine... Read More about Postnatal gestational age estimation of newborns using Small Sample Deep Learning.

Measuring the directional or non-directional distance between type-1 and type-2 fuzzy sets with complex membership functions (2018)
Journal Article
McCulloch, J., & Wagner, C. (2019). Measuring the directional or non-directional distance between type-1 and type-2 fuzzy sets with complex membership functions. IEEE Transactions on Fuzzy Systems, 27(7), 1506-1515. https://doi.org/10.1109/tfuzz.2018.2882342

Fuzzy sets may have complex, non-normal or non-convex membership functions that occur, for example, in the output of a fuzzy logic system or when automatically generating fuzzy sets from data. Measuring the distance between such non-standard fuzzy se... Read More about Measuring the directional or non-directional distance between type-1 and type-2 fuzzy sets with complex membership functions.

Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom (2018)
Journal Article
Figueredo, G. P., Agrawal, U., Mase, J., Mesgarpour, M., Wagner, C., Soria, D., …John, R. (2019). Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Transactions on Intelligent Transportation Systems, 20(9), 3324-3336. https://doi.org/10.1109/TITS.2018.2875343

Although driving behaviour has been largely studied amongst private motor vehicles drivers, the literature addressing heavy goods vehicle (HGV) drivers is scarce. Identifying the existing groups of driving stereotypes and their proportions enables re... Read More about Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom.

Urban traffic density estimation based on ultrahigh-resolution UAV video and deep neural network (2018)
Journal Article
Zhu, J., Sun, K., Jia, S., Li, Q., Hou, X., Lin, W., …Qiu, G. (2018). Urban traffic density estimation based on ultrahigh-resolution UAV video and deep neural network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(12), 4968-4981. https://doi.org/10.1109/jstars.2018.2879368

This paper presents an advanced urban traffic density estimation solution using the latest deep learning techniques to intelligently process ultrahigh-resolution traffic videos taken from an unmanned aerial vehicle (UAV). We first capture nearly an h... Read More about Urban traffic density estimation based on ultrahigh-resolution UAV video and deep neural network.

The beta-adrenergic agonist, Ractopamine increases skeletal muscle expression of Asparagine Synthetase as part of an integrated stress response gene program (2018)
Journal Article
Brown, D., Ryan, K., Daniel, Z., Mareko, M., Talbot, R., Moreton, J., …Brameld, J. M. (2018). The beta-adrenergic agonist, Ractopamine increases skeletal muscle expression of Asparagine Synthetase as part of an integrated stress response gene program. Scientific Reports, 8, Article 15915. https://doi.org/10.1038/s41598-018-34315-9

Synthetic beta-adrenergic agonists (BA) have broad biomedical and agricultural application for increasing lean body mass, yet a poor understanding of the biology underpinning these agents is limiting further drug discovery potential. Growing female p... Read More about The beta-adrenergic agonist, Ractopamine increases skeletal muscle expression of Asparagine Synthetase as part of an integrated stress response gene program.

HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain (2018)
Journal Article
Caraffini, F., Neri, F., & Epitropakis, M. (2019). HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain. Information Sciences, 477, 186-202. https://doi.org/10.1016/j.ins.2018.10.033

© 2018 Elsevier Inc. This article proposes a simplistic algorithmic framework, namely hyperSPAM, composed of three search algorithms for addressing continuous optimisation problems. The Covariance Matrix Adaptation Evolution Strategy (CMAES) is activ... Read More about HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain.

Feature selection and comparison of machine learning algorithms in classification of grazing and rumination behaviour in sheep (2018)
Journal Article
Mansbridge, N., Mitsch, J., Bollard, N., Ellis, K., Miguel-Pacheco, G. G., Dottorini, T., & Kaler, J. (2018). Feature selection and comparison of machine learning algorithms in classification of grazing and rumination behaviour in sheep. Sensors, 18(10), Article 3532. https://doi.org/10.3390/s18103532

Grazing and ruminating are the most important behaviours for ruminants, as they spend most of their daily time budget performing these. Continuous surveillance of eating behaviour is an important means for monitoring ruminant health, productivity and... Read More about Feature selection and comparison of machine learning algorithms in classification of grazing and rumination behaviour in sheep.

An Evolutionary Algorithm and operators for the Airport Baggage Sorting Station Problem (2018)
Journal Article
Ascó, A. (2019). An Evolutionary Algorithm and operators for the Airport Baggage Sorting Station Problem. Soft Computing, 23(20), 10055–10083. https://doi.org/10.1007/s00500-018-3561-7

Taking into consideration the constraints and objectives to appropriately assigning the available airport resources throughout the period of time an airport provides its services can greatly affect the quality of service which airlines and airports p... Read More about An Evolutionary Algorithm and operators for the Airport Baggage Sorting Station Problem.

Plant phenotyping: an active vision cell for three-dimensional plant shoot reconstruction (2018)
Journal Article
Gibbs, J., Pound, M., French, A. P., Wells, D. M., Murchie, E., & Pridmore, T. (2018). Plant phenotyping: an active vision cell for three-dimensional plant shoot reconstruction. Plant Physiology, 178(2), 524-534. https://doi.org/10.1104/pp.18.00664

© 2018 American Society of Plant Biologists. All rights reserved. Three-dimensional (3D) computer-generated models of plants are urgently needed to support both phenotyping and simulation-based studies such as photosynthesis modeling. However, the co... Read More about Plant phenotyping: an active vision cell for three-dimensional plant shoot reconstruction.

Coevolutionary fuzzy attribute order reduction with complete attribute-value space tree (2018)
Journal Article
Ding, W., Triguero, I., & Lin, C.-T. (2018). Coevolutionary fuzzy attribute order reduction with complete attribute-value space tree. IEEE Transactions on Emerging Topics in Computational Intelligence, https://doi.org/10.1109/tetci.2018.2869919

Since big data sets are structurally complex, high-dimensional, and their attributes exhibit some redundant and irrelevant information, the selection, evaluation, and combination of those large-scale attributes pose huge challenges to traditional met... Read More about Coevolutionary fuzzy attribute order reduction with complete attribute-value space tree.

Integrating aerial and street view images for urban land use classification (2018)
Journal Article
Cao, R., Zhu, J., Tu, W., Li, Q., Cao, J., Liu, B., …Qiu, G. (2018). Integrating aerial and street view images for urban land use classification. Remote Sensing, 10(10), Article 1553. https://doi.org/10.3390/rs10101553

Urban land use is key to rational urban planning and management. Traditional land use classification methods rely heavily on domain experts, which is both expensive and inefficient. In this paper, deep neural network-based approaches are presented to... Read More about Integrating aerial and street view images for urban land use classification.

HEART-IS: A novel technique for evaluating human error-related information security incidents (2018)
Journal Article
Evans, M., He, Y., Maglaras, L., & Janicke, H. (2019). HEART-IS: A novel technique for evaluating human error-related information security incidents. Computers and Security, 80, 74-89. https://doi.org/10.1016/j.cose.2018.09.002

Organisations continue to suffer information security incidents and breaches as a result of human error even though humans are recognised as the weakest link with regard to information security. Despite this level of understanding organisations conti... Read More about HEART-IS: A novel technique for evaluating human error-related information security incidents.

A study on rotation invariance in differential evolution (2018)
Journal Article
Caraffini, F., & Neri, F. (2019). A study on rotation invariance in differential evolution. Swarm and Evolutionary Computation, 50, Article 100436. https://doi.org/10.1016/j.swevo.2018.08.013

Epistasis is the correlation between the variables of a function and is a challenge often posed by real-world optimisation problems. Synthetic benchmark problems simulate a highly epistatic problem by performing a so-called problem's rotation. Mut... Read More about A study on rotation invariance in differential evolution.

Digital interventions to reduce sedentary behaviors of office workers: Scoping review (2018)
Journal Article
Huang, Y., Benford, S., & Blake, H. (2019). Digital interventions to reduce sedentary behaviors of office workers: Scoping review. Journal of Medical Internet Research, 21(2), Article e11079. https://doi.org/10.2196/11079

© Yitong Huang, Steve Benford, Holly Blake. Background: There is a clear public health need to reduce office workers’ sedentary behaviors (SBs), especially in the workplace. Digital technologies are increasingly being deployed in the workplace to mea... Read More about Digital interventions to reduce sedentary behaviors of office workers: Scoping review.