All Outputs (40188)

Non-compliance in the hairdressing and childcare sectors: A qualitative study of apprentice pay
Presentation / Conference Contribution

This paper presents some of the qualitative findings from some wider research undertaken for the Low Pay Commission on non-compliance in apprenticeship pay in the hairdressing and childcare sectors. Interviews with over seventy respondents, including... Read More about Non-compliance in the hairdressing and childcare sectors: A qualitative study of apprentice pay.

O26 Testing an intervention to reduce fatigue impact in inflammatory arthritis: Design and outcomes of a single-arm feasibility study
Presentation / Conference Contribution

Background/Aims Patients with inflammatory arthritis report that fatigue can be a challenging symptom to manage, with little support available. In response, we developed a brief one-to-one cognitive-behavioural manualised intervention, delivered by r... Read More about O26 Testing an intervention to reduce fatigue impact in inflammatory arthritis: Design and outcomes of a single-arm feasibility study.

Home activity monitoring using low resolution infrared sensor array
Presentation / Conference Contribution

Abstract. Action monitoring in a home environment provides important information for health monitoring and may serve as input into a smart home environment. Visual analysis using cameras can recognise actions in a complex scene, such as someones livi... Read More about Home activity monitoring using low resolution infrared sensor array.

Photometric stereo technique suitability study for plant phenotyping
Presentation / Conference Contribution

The dynamic quantification of growth traits is critical for building accurate modelling tools to predict plant behaviour under different growth environments, and consequently in designing strategies to improve plant health and overall yields. We are... Read More about Photometric stereo technique suitability study for plant phenotyping.

Deep 3D face recognition using 3D data augmentation and transfer learning
Presentation / Conference Contribution

Abstract. Deep convolutional neural networks (DCNNs) have achieved humancomparable performance on challenging 2D face databases, outperforming all previous shallow methods. However, current 3D face recognition research still focuses on non-deep-learn... Read More about Deep 3D face recognition using 3D data augmentation and transfer learning.

Surface normals based landmarking for 3D face recognition using photometric stereo captures
Presentation / Conference Contribution

In recent decades, many 3D data acquisition methods have been developed to provide accurate and cost-effective 3D captures of the human face. An example system, which can accommodate both research and commercial applications, is the Photoface device.... Read More about Surface normals based landmarking for 3D face recognition using photometric stereo captures.

Swarms of metaheuristic agents: A model for collective intelligence
Presentation / Conference Contribution

Swarm intelligence algorithms are created to build collective intelligence based on inherent properties of populations. However, this sort of problem solving approaches use collective evolution of solutions, which make up the population relied on. Th... Read More about Swarms of metaheuristic agents: A model for collective intelligence.

Multiuser scheduling in HSDPA with particle swarm optimization
Presentation / Conference Contribution

In this paper, a mathematical model of multiuser scheduling problem in HSDPA is developed to use in optimization process. A more realistic imperfect channel state information (CSI) feedback, which is required for this problem, in the form of a finite... Read More about Multiuser scheduling in HSDPA with particle swarm optimization.

A particle swarm optimization algorithm for multiuser scheduling in HSDPA
Presentation / Conference Contribution

This paper briefs the problem of optimal multiuser scheduling in HSDPA. The modulation and coding schemes (MCSs), numbers of multicodes and power levels for all users are jointly optimized at each scheduling period, given that only limited Channel Qu... Read More about A particle swarm optimization algorithm for multiuser scheduling in HSDPA.

A study on programming model and heuristic optimization algorithms for WCDMA radio networks
Presentation / Conference Contribution

The 3 Generation (3G) cellular networks, such as WCDMA (wideband code-division multiple access) networks, require accurate network planning and optimization. However, the planning and optimization of WCDMA radio network, which is a highly dynamic an... Read More about A study on programming model and heuristic optimization algorithms for WCDMA radio networks.

A novel programming model and optimisation algorithms for WCDMA networks
Presentation / Conference Contribution

To obtain a good trade-off between accuracy and the computational load of WCDMA (wideband code-division multiple access) network planning and optimisation, link-level performance factors such as the impact of soft handover and fast power control need... Read More about A novel programming model and optimisation algorithms for WCDMA networks.

A comparative investigation on heuristic optimization of WCDMA radio networks
Presentation / Conference Contribution

The planning and optimization of WCDMA (wideband code-division multiple access)radio network issues remain vital, and are carried out using static snapshot-based simulation. To improve the accuracy of the static simulation, link-level performance fac... Read More about A comparative investigation on heuristic optimization of WCDMA radio networks.

Mathematical modelling and comparisons of four heuristic optimization algorithms for WCDMA radio network planning
Presentation / Conference Contribution

In order to obtain accurate and reliable network planning and optimization results. The characteristics of WCDMA networks such as power control, soft handover (SHO) and the strong couplings between coverage and capacity have to be modelled accurately... Read More about Mathematical modelling and comparisons of four heuristic optimization algorithms for WCDMA radio network planning.

Impact of occupant behavior on CO2 emissions in social houses
Presentation / Conference Contribution

Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision
Presentation / Conference Contribution

This paper details a workshop and optional public installation based on the development of situational scores that combine music notation, AI, and code to create dynamic interactive art driven by the realtime movements of objects and people in a live... Read More about Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision.

Creativity in children's digital music composition
Presentation / Conference Contribution

Composing is a neglected area of music education. To increase participation, many technologies provide open-ended interfaces to motivate child autodidactic use, drawing influence from Papert’s LOGO philosophy to support children’s learning through pl... Read More about Creativity in children's digital music composition.

Recommender systems algorithm selection using machine learning
Presentation / Conference Contribution

This article delivers a methodology for recommender system algorithm selection using a machine learning classifier. Initially, statistical data from real collaborative filtering recommender systems have been collected to form the basis for a syntheti... Read More about Recommender systems algorithm selection using machine learning.

Blockchained Αdaptive Federated Auto Meta Learning Big Data and DevOps CyberSecurity Architecture in Industry 4.0
Presentation / Conference Contribution

Maximizing the production process in modern industry, as proposed by Industry 4.0, requires extensive use of Cyber-Physical Systems (CbPS). Artificial intelligence technologies, through CbPS, allow monitoring of natural processes , making autonomous,... Read More about Blockchained Αdaptive Federated Auto Meta Learning Big Data and DevOps CyberSecurity Architecture in Industry 4.0.

Cardiff University at SemEval-2020 Task 6: Fine-tuning BERT for Domain-Specific Definition Classification
Presentation / Conference Contribution

We describe the system submitted to SemEval-2020 Task 6, Subtask 1. The aim of this subtask is to predict whether a given sentence contains a definition or not. Unsurprisingly, we found that strong results can be achieved by fine-tuning a pre-trained... Read More about Cardiff University at SemEval-2020 Task 6: Fine-tuning BERT for Domain-Specific Definition Classification.

A mixture-of-experts model for learning multi-facet entity embeddings
Presentation / Conference Contribution

Various methods have already been proposed for learning entity embeddings from text descriptions. Such embeddings are commonly used for inferring properties of entities, for recommendation and entity-oriented search, and for injecting background know... Read More about A mixture-of-experts model for learning multi-facet entity embeddings.