All Outputs (166)

Learning the Quality of Dispatch Heuristics Generated by Automated Programming (2018)
Book Chapter

One of the challenges within the area of optimisation, and AI in general, is to be able to support the automated creation of the heuristics that are often needed within effective algorithms. Such an example of automated programming may be performed b... Read More about Learning the Quality of Dispatch Heuristics Generated by Automated Programming.

Understanding labour exploitation in the Spanish agricultural sector using an agent based approach (2018)
Journal Article

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

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

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

© 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.

Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management (2018)
Conference Proceeding

The uneven utilisation of modes of transport has a big impact on traffic in transport pathway infrastrutures. For motor vehicles for instance, this situation explains rapid road deterioration and the large amounts of money invested in maintenance and... Read More about Position Paper: The Usefulness of Data-driven, Intelligent Agent-Based Modelling for Transport Infrastructure Management.

Talking with Alexa (2018)
Journal Article

Postnatal gestational age estimation of newborns using Small Sample Deep Learning (2018)
Journal Article

© 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.

An Artificial Intelligence Method for Comfort Level Prediction (2018)
Conference Proceeding

With the rapid demand for the energy efficient consumption in buildings, bridging the gap between predicted and measured performance is essential. However, recent studies show that there is a significant mismatch between predicted and actual building... Read More about An Artificial Intelligence Method for Comfort Level Prediction.

Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems - A User Study (2018)
Conference Proceeding

In recent years, researchers have become increasingly more interested in designing an interpretable Fuzzy Logic System (FLS). Many studies have claimed that reducing the complexity of FLSs can lead to improved model interpretability. That is, reducin... Read More about Interpretability and Complexity of Design in the Creation of Fuzzy Logic Systems - A User Study.

Object-focused mixed reality storytelling: technology-driven content creation and dissemination for engaging user experiences (2018)
Conference Proceeding

In this paper we present the creation and deployment of a concerted set of Mixed Reality Technologies designed for creating engaging public experiences and enhanced storytelling opportunities focused on artefacts. Under the title of the Mixed Reality... Read More about Object-focused mixed reality storytelling: technology-driven content creation and dissemination for engaging user experiences.

Measuring the directional or non-directional distance between type-1 and type-2 fuzzy sets with complex membership functions (2018)
Journal Article

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

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

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.

Proceedings of the Nottingham Symposium on Connecting HCI and UX (2018)
Conference Proceeding

Noise Parameter Estimation for Non-Singleton Fuzzy Logic Systems (2018)
Conference Proceeding

Real-world environments face a wide range of noise (uncertainty) sources and gaining insight into the level of noise is a critical part of many applications. While Non-Singleton Fuzzy Logic Systems (NSFLSs), in particular recently introduced advanced... Read More about Noise Parameter Estimation for Non-Singleton Fuzzy Logic Systems.

The beta-adrenergic agonist, Ractopamine increases skeletal muscle expression of Asparagine Synthetase as part of an integrated stress response gene program (2018)
Journal Article

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

© 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.

The practice and theory of automated timetabling (2016) (2018)
Journal Article

Feature selection and comparison of machine learning algorithms in classification of grazing and rumination behaviour in sheep (2018)
Journal Article

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.