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.
Outputs (130)
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.