A5029593273- Robotics and Sensor-Based Localization
- Hernia repair and management
- Pelvic and Acetabular Injuries
- Mobile Health and mHealth Applications
- Context-Aware Activity Recognition Systems
- Robotic Path Planning Algorithms
- Satellite Image Processing and Photogrammetry
- Time Series Analysis and Forecasting
- Diabetes Management and Education
- Respiratory Support and Mechanisms
- Anomaly Detection Techniques and Applications
- Chronic Disease Management Strategies
- Remote Sensing and LiDAR Applications
- Digital Mental Health Interventions
- Dementia and Cognitive Impairment Research
- Case Reports on Hematomas
- Intraoperative Neuromonitoring and Anesthetic Effects
- Interpreting and Communication in Healthcare
- AI in Service Interactions
- Data Stream Mining Techniques
- Cognitive Functions and Memory
- Abdominal vascular conditions and treatments
- User Authentication and Security Systems
- Air Traffic Management and Optimization
- Technology Adoption and User Behaviour
Craigavon Area Hospital
2021
Royal Victoria Eye and Ear Hospital
2021
Ulster Hospital
2019-2020
University of Ulster
2011-2018
Queen's University Belfast
2018
Lisburn & Castlereagh City Council
2017
RMIT University
2014
The accurate detection of changes has the potential to form a fundamental component systems which autonomously solicit user interaction based on transitions within an input stream, for example, electrocardiogram data or accelerometry obtained from mobile device. This solicited may be utilized diverse scenarios such as responding in patient's vital signs medical domain requesting activity labels generating real-world labelled datasets. Within this paper, we extend our previous work...
For many sensing applications Unmanned Aerial Vehicles (UAVs) can provide a lightweight and highly portable solution. Inevitably they may encounter malfunctions, the most serious of which require UAV to land as soon possible. From safety prospective it is insufficient assume safely reach previously determined safe landing site. It therefore desirable utilize reliable source knowledge such Geographic Information System (GIS) data aid in autonomous site detection. However, before this be...
Abstract Unmanned Aerial Vehicles (UAVs) have the potential to significantly enhance current practice for a range of applications including emergency response in aftermath natural disasters and crowd surveillance during major sporting events. However, before this can be realized there are number safety related technical challenges which must addressed provision Safe Landing Zone (SLZ) detection algorithm would executed event UAV emergency. In such an key consideration any is remaining flight...
Safety and security rank highly in the priorities of older people on both an individual policy level. Older are commonly targeted as victims doorstep crime, they can be perceived being vulnerable. As a result, this have major effect victim's health wellbeing. There been numerous prevention strategies implemented attempt to combat reduce number crimes. is, however, little information available detailing effectiveness these how impact fear particularly with repeat victims. is therefore clear...
The development of five single-stage and four multistage algorithms is reported. A comparison the performance, for moving target identification applications, 13 on a simulated infrared (IR) image database included. Several show significant improvement in performance over well-known area.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
As the demographics of many countries shift towards an ageing population it is predicted that prevalence diseases affecting cognitive capabilities will continually increase. One approach to enabling individuals with decline remain in their own homes through use prosthetics such as reminding technology. However, benefit technologies intuitively predicated upon successful adoption and subsequent use. Within this paper we present a knowledge-based feature set which may be utilized predict...
Self-management is an approach to healthcare which aims empower individuals manage their own health conditions. This of particular importance given the shifting demographics, increased prevalence chronic conditions and financial austerity facing many countries. In this paper we present our current work on development a flexible, generic self-management platform can be readily extended for specific A Unified Modelling Language (UML) system class diagram presented with design based upon...