This research applied artificial intelligence (AI) to facilitating the process of organising and handling a marathon in such a way
Category: Digital Health
Investigating cognitive stress in software engineering activities
The objective of this research was to investigate the pressures encountered by software engineers while carrying out cognitively intensive work.
Using monitoring-oriented techniques to model the spread of disease
The modelling of the spread of a disease is a very important yet complex task, since each different disease spreads
Practical Artificial Caregiver (PAC): a multimodal application to support the care of persons with impairments in care institutions
Disability is a public health issue and it is estimated that more than 1 billion persons globally live with some
Decoding sensors data using machine learning algorithms to detect an individual’s stress levels
Effectively detecting whether an individual might be stressed could greatly improve a person’s well-being. This would enable us to become
Assessing cognitive workload during software engineering activities
Assessing the difficulty of a task as it is being performed can provide substantial value to an organisation. Fritz et
Predicting blood glucose levels using machine learning techniques with metaheuristic optimisers.
The human body keeps blood glucose levels within safe limits naturally. However, this is not the case for persons with
Deep-learning-based techniques for Alzheimer’s disease diagnosis in MRI images
Alzheimer’s disease (AD) is a neurological disease that often results in dementia. AD causes patients to experience severe cognitive decline,
A model to improve low-dose CT scan images
A computed tomography (CT) scan provides detailed cross-sectional images of the human body using X-rays. With the increased use of