\emph{Purpose.} Tracheostomy is a critical, life-saving procedure, but complications often arise due to suboptimal tracheostomy tube fit. Customised tubes could mitigate these risks, yet their development hinges on precise tracheal morphometric data. This study aims to establish an automated workflow …

This paper proposes a methodological framework designed to provide guidelines for building a demonstrator for various tasks within the context of cyber-physical systems. The framework is based on a design science framework that provides a systematic methodology to help reshape the objectives, attributes, …

Industrial Cyber-Physical Systems (CPS) are sensitive infrastructure from both safety and economics perspectives, making their reliability critically important. Machine Learning (ML), specifically deep learning, is increasingly integrated in industrial CPS, but the inherent complexity of ML models results …

Seagrass meadows hold significant value for local coastal communities and many different organisms by providing essential ecosystem services. However, due to anthropogenic stressors (e.g. coastal development, eutrophication etc.) seagrass meadows have been declining rapidly worldwide. In Lake Grevelingen …

Camera traps are widely used in wildlife research to study species presence, distribution, and behaviour, yet their potential influence on animal behaviour is often assumed to be negligible. Many carnivores, including canids, rely heavily on olfactory communication and frequently deposit scent marks …

The demand for assistive technology is expected to rise alongside the increasing care needs of aging populations. Ambient intelligence, particularly context awareness, offers potential benefits in addressing challenges faced by the healthcare system. In dementia care, context awareness can facilitate …

Tracheostomy is a life-saving procedure with complications often linked to suboptimal tracheostomy tube fit. Customised tubes could reduce these risks, but their development requires precise tracheal morphometric data. This study presents an automated workflow for extracting high-resolution tracheal …

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AI-driven lifestyle monitoring systems collect data from ambient, motion, contact, light, and physiological sensors placed in the home, enabling AI algorithms to identify daily routines and detect deviations to support older adults "aging in place." Despite its potential to support several challenges …

To reduce greenhouse gas emissions from the transport sector, shifting to rail transport is crucial. This transition will increase the demand on existing rail infrastructure, necessitating large-scale monitoring to maintain its resilience. Point cloud data are an ideal candidate for this purpose, as …