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 …

This research explored the use of deep learning to classify impact events on wind turbine blades using spectrogram images. Audio data were recorded through indoor and outdoor simulations using smartphones. The data preparation process involved converting stereo recordings to mono, applying downcasting …

Many have suggested that AI-based interventions could enhance learning by personalization, improving teacher effectiveness, or by optimizing educational processes. However, they could also have unintended or unexpected side-effects, such as undermining learning by enabling procrastination, or reducing …

OBJECTIVE: This scoping review aimed to gather current knowledge on accurately identifying and distinguishing between non-frail, pre-frail, and frail older adults using gait and daily physical activity (DPA) parameters and/or models that combine gait with DPA parameters in both controlled and daily life …

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, …

Brain disorders, such as Alzheimer’s disease and epilepsy have been linked to an imbalance in excitatory and inhibitory (E/I) inputs in the brain. However, the molecular mechanisms underlying E/I balance and plasticity in the brain are largely unresolved. Inhibitory synapses have a strong impact on brain …

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Fluorescent Penetrant Inspection (FPI) is a widely used inspection technique in the aerospace industry. Because of the aging aerospace sector, and because of the safety-criticality of the inspection, aerospace companies aim to automate (parts of this) inspection process to support inspectors. This paper …

Routine maintenance of commercial aircraft requires reliable detection and repair of corrosion to ensure structural integrity. Post-repair inspections are commonly performed using manual ultrasonic point measurements of residual thickness, a process that is time-intensive and constrained by limitations …