All Outputs (10)

A novel system for automated continuous on-farm assessment of digital dermatitis using Artificial Intelligence (2025)
Journal Article

Digital dermatitis (DD) is a major cause of lameness in cattle, significantly affecting animal well-being and reducing productivity across the dairy industry. This paper introduces a novel system combining innovative hardware coupled with a two-stage... Read More about A novel system for automated continuous on-farm assessment of digital dermatitis using Artificial Intelligence.

Precision single-camera eye tracking towards cognitive health assessment (2025)
Presentation / Conference Contribution

Eye tracking has been increasingly recognised as a valuable
tool for assessing cognitive health. However, many existing eye tracking systems are often expensive, imprecise, and inconvenient, which limits their accessibility and effectiveness in clin... Read More about Precision single-camera eye tracking towards cognitive health assessment.

Development of a gamified Simon task for machine learning and eye-tracking analysis of cognitive performance in early dementia diagnosis (2024)
Presentation / Conference Contribution

Introduction

Technologies leveraging machine learning are enabling the creation of efficient methods for the early detection of age-related neurodegeneration outside of a lab environment. Combining cognitive assessments with eye movement analysis... Read More about Development of a gamified Simon task for machine learning and eye-tracking analysis of cognitive performance in early dementia diagnosis.

Balanced multi-UAV path planning for persistent monitoring (2024)
Journal Article

In scenarios such as environmental data collection and traffic monitoring, etc., timely responses to real-time situations are facilitated by persistently accessing nodes with revisiting constraints using unmanned aerial vehicles (UAVs). However, imba... Read More about Balanced multi-UAV path planning for persistent monitoring.

IYOLO-FAM: Improved YOLOv8 with feature attention mechanism for cow behaviour detection (2024)
Presentation / Conference Contribution

We introduced IYOLO-FAM (Improved YOLOv8 with Feature Attention Mechanism) for detecting cow behaviours. By leveraging the robust YOLOv8 architecture improved with Feature Attention Mechanisms (FAM), Squeeze-and-Excitation (SE) blocks and data augmen... Read More about IYOLO-FAM: Improved YOLOv8 with feature attention mechanism for cow behaviour detection.

SPGNet: A shape-prior guided network for medical image segmentation (2024)
Presentation / Conference Contribution

Given the intricacy and variability of anatomical structures in medical images, some methods employ shape priors to constrain segmentation. However, limited by the representational capability of these priors, existing approaches often struggle to cap... Read More about SPGNet: A shape-prior guided network for medical image segmentation.

EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning (2024)
Journal Article

Alzheimer's Disease is the most prevalent neurodegenerative disease, and is a leading cause of disability among the elderly. Eye movement behaviour demonstrates potential as a non-invasive biomarker for Alzheimer's Disease, with changes detectable at... Read More about EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning.

A two-stage approach using YOLO for automated assessment of digital dermatitis within Dairy Cattle (2024)
Presentation / Conference Contribution

Digital dermatitis stands as a primary cause of lameness in dairy cows, significantly impacting various facets of productivity. This paper proposes an innovative two-stage vision system aimed at early detection of digital dermatitis (DD) lesions, ult... Read More about A two-stage approach using YOLO for automated assessment of digital dermatitis within Dairy Cattle.

Real-time livestock activity monitoring via fine-tuned faster R-CNN for multiclass cattle behaviour detection (2023)
Presentation / Conference Contribution

Automated cattle activity detection plays a pivotal role in modern livestock management, significantly impacting animal welfare and operational efficiency. This paper introduces an automated approach for cattle activity detection using advanced deep... Read More about Real-time livestock activity monitoring via fine-tuned faster R-CNN for multiclass cattle behaviour detection.

Predicting multiple-target search performance using eye movements and individual differences (2023)
Presentation / Conference Contribution

Accuracy in visual search – the process of detecting a target amongst distractors – is critical for life-saving career searches such as radiology and airport security. These searches often contain multiple targets (e.g., a tumour and a fracture) and... Read More about Predicting multiple-target search performance using eye movements and individual differences.