19 citations · 40 across the 8 of their papers we have counts for
14 papers
Pressure Ulcer Categorisation using Deep Learning: A Clinical Trial to Evaluate Model Performance
Paul Fergus, Carl Chalmers, William Henderson +2
Pressure ulcers are a challenge for patients and healthcare professionals. In the UK, 700,000 people are affected by pressure ulcers each year. Treating them costs the National Hea…
Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence
Juliana Vélez, Paula J. Castiblanco-Camacho, Michael A. Tabak +3
Camera traps have transformed how ecologists study wildlife species distributions, activity patterns, and interspecific interactions. Although camera traps provide a cost-effective…
Real-Time Predictive Maintenance using Autoencoder Reconstruction and Anomaly Detection
Sean Givnan, Carl Chalmers, Paul Fergus +2
Rotary machine breakdown detection systems are outdated and dependent upon routine testing to discover faults. This is costly and often reactive in nature. Real-time monitoring off…
Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning
C. Chalmers, P. Fergus, S. Wich +1
For centuries researchers have used sound to monitor and study wildlife. Traditionally, conservationists have identified species by ear; however, it is now common to deploy audio r…
Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network
Steven Thompson, Paul Fergus, Carl Chalmers +1
The study in this paper presents a one-dimensional convolutional neural network (1DCNN) model, designed for the automated detection of obstructive Sleep Apnoea (OSA) captured from…
Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology
C. Chalmers, P. Fergus, Serge Wich +1
Many different species are adversely affected by poaching. In response to this escalating crisis, efforts to stop poaching using hidden cameras, drones and DNA tracking have been i…