3 citations · 5 across the 5 of their papers we have counts for
6 papers
Through-life Monitoring of Resource-constrained Systems and Fleets
Felipe Montana, Adam Hartwell, Will Jacobs +3
A Digital Twin (DT) is a simulation of a physical system that provides information to make decisions that add economic, social or commercial value. The behaviour of a physical syst…
Metaparametric Neural Networks for Survival Analysis
Fabio Luis de Mello, J Mark Wilkinson, Visakan Kadirkamanathan
Survival analysis is a critical tool for the modelling of time-to-event data, such as life expectancy after a cancer diagnosis or optimal maintenance scheduling for complex machine…
A temporal-to-spatial deep convolutional neural network for classification of hand movements from multichannel electromyography data
Adam Hartwell, Visakan Kadirkamanathan, Sean R. Anderson
Deep convolutional neural networks (CNNs) are appealing for the purpose of classification of hand movements from surface electromyography (sEMG) data because they have the ability…
Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals
Adam Hartwell, Visakan Kadirkamanathan, Sean R Anderson
Machine learning classifiers using surface electromyography are important for human-machine interfacing and device control. Conventional classifiers such as support vector machines…
Weak Interactions Based System Partitioning Using Integer Linear Programming
Romain Guicherd, Paul A. Trodden, Andrew R. Mills +1
The partitioning of a system model will condition the structure of the controller as well as its design. In order to partition a system model, one has to know what states and input…
Autonomous Crowds Tracking with Box Particle Filtering and Convolution Particle Filtering
Allan De Freitas, Lyudmila Mihaylova, Amadou Gning +2
Autonomous systems such as Unmanned Aerial Vehicles (UAVs) need to be able to recognise and track crowds of people, e.g. for rescuing and surveillance purposes. Large groups genera…