A5014543589- AI-based Problem Solving and Planning
- Semantic Web and Ontologies
- Face recognition and analysis
- Machine Learning and Data Classification
- Face and Expression Recognition
- Context-Aware Activity Recognition Systems
- Face Recognition and Perception
- Software Engineering Research
- Machine Learning and Algorithms
- Music Technology and Sound Studies
- Music and Audio Processing
- Advanced Multi-Objective Optimization Algorithms
- Reservoir Engineering and Simulation Methods
- Constraint Satisfaction and Optimization
- Image Retrieval and Classification Techniques
- Topic Modeling
- Intelligent Tutoring Systems and Adaptive Learning
- Indoor and Outdoor Localization Technologies
- Urban Planning and Valuation
- Advanced Database Systems and Queries
- Healthcare Technology and Patient Monitoring
- Image and Object Detection Techniques
- Data Mining Algorithms and Applications
- IoT-based Smart Home Systems
- Non-Invasive Vital Sign Monitoring
Robert Gordon University
2013-2023
Dunedin Public Hospital
2012
University of Aberdeen
1983-2002
Research Organization of Information and Systems
2002
AstraZeneca (United Kingdom)
2002
University of Otago
1988-1999
Robert Gordon's College
1991-1999
University of Nottingham
1992
Gordon State College
1991
University of Utah
1978
Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior experience during future (i.e., new problems are solved by reusing and if necessary adapting solutions similar were in past). It has enjoyed considerable success a wide variety tasks domains. Following brief overview traditional problem-solving cycle CBR, we examine cognitive science foundations CBR its relationship analogical reasoning. We then review representative selection research past few...
It has recently become apparent that if face images are degraded by spatial quantisation, or block averaging, there is a nonlinear acceleration of the decline in accuracy recognition as size increases. This suggests requires critical minimum range object frequencies. Two experiments were performed to clarify phenomenon. In experiment 1, speed and for six frontoparallel photographs faces measured. After familiarisation training sessions, shown 100 ms with 11, 21, 42 pixels per face,...
We describe results obtained from a testbed used to investigate different codings for automatic face recognition. An eigenface coding of shape-free faces using manually located landmarks was more effective than the corresponding correctly shaped faces. Configuration also proved an method recognition, with rankings given incorrect matches relatively uncorrelated those Both sets information combine improve significantly performance either system. The addition system, which directly correlated...
The number of methods for identifying potential fall risk is growing as the rate elderly fallers continues to rise in UK. Assessments falling are usually performed hospitals and other laboratory environments, however these costly cause inconvenience subject health services. Replacing intrusive testing with a passive in-home monitoring solution would provide less time-consuming cheaper alternative. As sensors become more readily available, machine learning models can be applied large amount...
Ambient, non-intrusive approaches to smart home health monitoring, while limited in capability, are preferred by residents. More intrusive methods of sensing, such as video and wearables, can offer richer data but at the cost lower resident uptake, part due privacy concerns. A radio frequency-based approach Channel State Information (CSI), make use low off-the-shelf WiFi hardware. We have implemented an activity recognition system on Raspberry Pi 4, one world's most popular embedded boards....
The design task is especially appropriate for applying, integrating, exploring and pushing the boundaries of case-based reasoning. In this paper, we briefly review challenges that poses reasoning survey research on ranging from early explorations to more recent work innovative design. We also summarize theoretical contributions has made itself.
We report a family with dominantly inherited ectopic ossification. It is characterised by childhood onset of multifocal subcutaneous ossifications (primary osteoma cutis), which are trivial clinical significance. One member had extensive ossification involving one limb. speculate that this may reflect somatic mutation having caused conversion to homozygosity.