19 citations · 45 across the 12 of their papers we have counts for
6 papers · 1 filter
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Rotary machine breakdown detection systems are outdated and dependent upon routine testing to discover faults.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…
BMI: A Behavior Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters
P. Fergus, C. Chalmers
Fuel poverty affects between 50 and 125 million households in Europe and is a significant issue for both developed and developing countries globally. This means that fuel poor resi…
Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes
Paul Fergus, Carl Chalmers, Casimiro Curbelo Montanez +3
Gynaecologists and obstetricians visually interpret cardiotocography (CTG) traces using the International Federation of Gynaecology and Obstetrics (FIGO) guidelines to assess the w…
Extracting Epistatic Interactions in Type 2 Diabetes Genome-Wide Data Using Stacked Autoencoder
Basma Abdulaimma, Paul Fergus, Carl Chalmers
2 Diabetes is a leading worldwide public health concern, and its increasing prevalence has significant health and economic importance in all nations. The condition is a multifactor…