Reinforcement learning offers a promising approach for personalized, early-stage detection of behavioral events such as agitation in individuals with dementia, particularly when contextual insights from care staff are integrated. Given the scarcity and the ethical constraints of real-world agitation …

Before finalizing the design plans for the Seawater Reverse Osmosis (SWRO) plant in Jubail, Saudi Arabia, requested by IDOM’s client, a flood risk analysis of the site is required. Within this flood risk analysis, the impacts on the SWRO site will be simulated during a rainfall event with a return period …

In this study, eye-tracking and deep learning are employed to classify pilot experience during a twin-engine Piper Seneca flight simulator based on the potential to enhance aviation training and safety through the integration of human cognitive behaviors with artificial intelligence to optimize inter-cognitive …

Residential burglaries often go unsolved, as collected DNA traces and fingermarks frequently originate from residents rather than the offender. It is therefore important to know how to target sampling locations that specifically relate to the burglary event. However, data that aid in assessing the likelihood …

Gili Ketapang is a small island located in East Java, Indonesia. The island is currently experiencing environmental changes due to coastal erosion and the decline of its coral reef ecosystem. At the same time, the population is growing, and economic activities centred around fishing and tourism are expanding. …

This paper investigates the role of conversational AI in improving the quality of decision-making across different stages of the process. Drawing on an experimental study involving 113 students in Dutch higher education, participants engaged in a simulated business challenge using three approaches: no …

In het snel evoluerende domein van machine learning is het cruciaal om het meest geschikte model voor een bepaalde dataset te selecteren. Inzicht in de kenmerken van een dataset kan een aanzienlijke invloed hebben op de resultaten van voorspellende modellen, waardoor de studie van de eigenschappen van …

Presentatie van geaccepteerd artikel

Chest imaging plays a pivotal role in screening and monitoring patients, and various predictive artificial intelligence (AI) models have been developed in support of this. However, little is known about the effect of decreasing the radiation dose and, thus, image quality on AI performance. This study …

Simulation-based assessment is an effective method for evaluating the competence of individuals in emergency situations. Certain skills are challenging to assess since they cannot be simulated. Consequently, participants need to engage in discursive work to facilitate practice and assessment of unsimulable …