This paper addresses the challenge faced by call center operators supporting family members of individuals with Substance Use Disorders (SUDs), particularly the difficulty of detecting emotional distress in callers during high-pressure interactions. We developed a lightweight, real-time Speech Emotion …

Background & aim Adequate protein intake is essential during recovery from illness to prevent complications such as malnutrition, sarcopenia, and delayed wound healing. Mobile applications may support self-monitoring and early detection of inadequate intake. This study evaluated the concurrent validity …

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 …

Aim: Mothers of children with intellectual disabilities are particularly vulnerable to mental distress due to demanding and exhausting caregiving. However, in the Arab world, they are seldom screened for depression because of limited diagnostic resources. Addressing the urgent need for brief and reliable …

2025 ILC Annual International Conference , 16th & 17 June, 2025, Genoa, Italy, Global Collaboration,Local Action for Fundamentals of Care Innovation. Zie bladzijde 81. An international group of experts has joined forces for the further development of Artificial Intelligence (AI) in relation to the Fundamentals …

This paper presents a generative large language model (LLM)- guided approach to detect discursive patterns in Dutch social media.

Manual crack inspection is labor-intensive and impractical at scale, prompting a shift toward AI-based segmentation methods. We present a novel crack segmentation model that leverages the Segment Anything Model 2 (SAM 2) through transfer learning to detect cracks on masonry surfaces. Unlike prior approaches …

A significant portion of Dutch infrastructure, including gas, water, and electricity networks, is underground. The lack of clear mapping leads to uncoordinated digging, increasing the risk of damage and labor costs. Current detection methods like probes, sonar, and ground-penetrating radar have limitations, …

Agriculture and horticulture are essential for ensuring safe food to the growing global population, but they also contribute significantly to climate change and biodiversity loss due to the extensive use of chemicals. Integrated pest management is currently employed to monitor and control pest populations, …