All Outputs (2058)

UNICEF guidance on AI for children: Application to the design of a social robot for and with autistic children (2021)
Presentation / Conference Contribution

For a period of three weeks in June 2021, we embedded a social robot (Softbank Pepper) in a Special Educational Needs (SEN) school, with a focus on supporting the well-being of autistic children. Our methodology to design and embed the robot among th... Read More about UNICEF guidance on AI for children: Application to the design of a social robot for and with autistic children.

Moving Hues (Revised Version) (2021)
Other

Moving Hues was written in 2011 as a farewell gift for conductor Huw Gareth Williams, and the original orchestration was that of Brahms’s Fourth Symphony. All the material contained within the piece is, in some way, derived from the letters of Huw’s... Read More about Moving Hues (Revised Version).

Application of a solid-phase microextraction-gas chromatography-mass spectrometry/metal oxide sensor system for detection of antibiotic susceptibility in urinary tract infection-causing Escherichia coli – A proof of principle study (2021)
Journal Article

Purpose: Antibiotic resistance is widespread throughout the world and represents a serious health concern. There is an urgent need for the development of novel tools for rapidly distinguishing antibiotic resistant bacteria from susceptible strains. P... Read More about Application of a solid-phase microextraction-gas chromatography-mass spectrometry/metal oxide sensor system for detection of antibiotic susceptibility in urinary tract infection-causing Escherichia coli – A proof of principle study.

Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment (2021)
Journal Article

We present the EVONANO platform for the evolution of nanomedicines with application to anti-cancer treatments. Our work aims to decrease both the time and cost required to develop nanoparticle designs. EVONANO includes a simulator to grow tumours, ex... Read More about Evolutionary computational platform for the automatic discovery of nanocarriers for cancer treatment.

Social influence prediction with train and test time augmentation for graph neural networks (2021)
Presentation / Conference Contribution

Data augmentation has been widely used in machine learning for natural language processing and computer vision tasks to improve model performance. However, little research has studied data augmentation on graph neural networks, particularly using aug... Read More about Social influence prediction with train and test time augmentation for graph neural networks.

Investigating Browne's method (2021)
Presentation / Conference Contribution

Results supports Browne’s procedure of pilot sample size determination. However the data reveals that the procedure underestimates and overestimates sample size. Fig. 1 shows 𝛼 and 𝛽 have no practical effect on degree of excess which increases as... Read More about Investigating Browne's method.

A secure communication protocol for unmanned aerial vehicles (2021)
Journal Article

Mavlink is a lightweight and most widely used open-source communication protocol used for Unmanned Aerial Vehicles. Multiple UAVs and autopilot systems support it, and it provides bi-directional communication between the UAV and Ground Control Statio... Read More about A secure communication protocol for unmanned aerial vehicles.

Adaptive binary artificial bee colony for multi-dimensional knapsack problem (2021)
Journal Article

Purpose: The purpose of the study is to investigate how to solve for multi-dimensional knapsack problems better with higher robustness using binary artificial bee colony algorithms. Theory and Methods: The efficiency and effectiveness of metaheuristi... Read More about Adaptive binary artificial bee colony for multi-dimensional knapsack problem.

Identifying and interpreting extreme rainfall events using image classification (2021)
Journal Article

This study presents the first attempt to identify extreme rainfall events based on surrounding sea-level pressure anomalies, using neural network-based classification. Sensitivity analysis was also performed to identify the spatial importance of sea-... Read More about Identifying and interpreting extreme rainfall events using image classification.

Prediction of bladder cancer treatment side effects using an ontology-based reasoning for enhanced patient health safety (2021)
Journal Article

Predicting potential cancer treatment side effects at time of prescription could decrease potential health risks and achieve better patient satisfaction. This paper presents a new approach, founded on evidence-based medical knowledge, using as much i... Read More about Prediction of bladder cancer treatment side effects using an ontology-based reasoning for enhanced patient health safety.

Reinforcement learning-based adaptive operator selection (2021)
Presentation / Conference Contribution

Metaheuristic and swarm intelligence approaches require devising optimisation algorithms with operators to let produce neighbouring solutions to conduct a move. The efficiency of algorithms using single operator remains recessive in comparison with t... Read More about Reinforcement learning-based adaptive operator selection.

A strategic search algorithm in multi-agent and multiple target environment (2021)
Presentation / Conference Contribution

The aim of this study is to investigate how to solve the path-planning problem of multiple competing players towards moving targets within a dynamically changing environment. A novel approach is needed to exceed the classical solutions for single or... Read More about A strategic search algorithm in multi-agent and multiple target environment.

NLP-based prediction of medical specialties at hospital admission using triage notes (2021)
Presentation / Conference Contribution

Data Analytics is rapidly expanding within the healthcare domain to help develop strategies for improving the quality of care and curbing costs as well. Natural Language Processing (NLP) solutions have received particular attention whereas a large pa... Read More about NLP-based prediction of medical specialties at hospital admission using triage notes.

Art as data set, data set as art: Training machine vision systems to see as artists (2021)
Presentation / Conference Contribution

Technology enhance learning: A case study of the potentials of mobile technologies in Nigerian College of Education (2021)
Thesis

Technology has proven to be an effective tool and a driving force for developments in the education sector, hence the term “technology enhanced learning” (TEL). Despite the continuous impact of technology in education, the lack of TEL in teacher educ... Read More about Technology enhance learning: A case study of the potentials of mobile technologies in Nigerian College of Education.

Stimulating fungi Pleurotus ostreatus with hydrocortisone (2021)
Journal Article

Fungi cells can sense extracellular signals via reception, transduction, and response mechanisms, allowing them to communicate with their host and adapt to their environment. They feature effective regulatory protein expressions that enhance and regu... Read More about Stimulating fungi Pleurotus ostreatus with hydrocortisone.

Comparison of agent deployment strategies for collaborative prognosis (2021)
Presentation / Conference Contribution

Collaborative prognosis is a technique that enables the industrial assets to learn from similar other assets in a fleet, and improve their data-driven prognosis models. When collaborative prognosis is implemented in a computationally distributed fram... Read More about Comparison of agent deployment strategies for collaborative prognosis.

A comparative analysis for binary search operators used in artificial bee colony (2021)
Presentation / Conference Contribution

Metaheuristic optimization algorithms are developed to find the best or near-best solutions within a reasonable time frame utilizing various neighbourhood functions (i.e., operators). Variety of studies have been proposed for structural modifications... Read More about A comparative analysis for binary search operators used in artificial bee colony.

A fitted radiance and attenuation model for realistic atmospheres (2021)
Journal Article

We present a fitted model of sky dome radiance and attenuation for realistic terrestrial atmospheres. Using scatterer distribution data from atmospheric measurement data, our model considerably improves on the visual realism of existing analytical cl... Read More about A fitted radiance and attenuation model for realistic atmospheres.

Unsupervised one-class learning for anomaly detection on home IoT network devices (2021)
Presentation / Conference Contribution

In this paper we study anomaly detection methods for home IoT devices. Specifically, we address unsupervised one-class learning methods due to their ability to learn deviations from a single normal class. In a home IoT environment, this consideration... Read More about Unsupervised one-class learning for anomaly detection on home IoT network devices.