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 …

Methane, the primary component of natural gas, emits less carbon dioxide than other petroleum-based fuels but faces challenges in efficient storage and transportation. Advanced adsorption materials provide a safe and cost-effective solution, with metal–organic frameworks (MOFs) emerging as promising …

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 …

Aviation safety relies greatly on understanding human factors and pilot behaviour. This study uses innovative eye-tracking biometrics and predictive analytics to enhance aviation landing performance in a twin-engine Piper Seneca simulation. With a Tobii Glass 3 eye tracker, gaze patterns from two pilots …

BACKGROUND: The long-term consequences after an intensive care unit (ICU) hospitalization can be significant for both ICU survivors and their family members. Research in the past decades has shown that patients may develop new onset or worsened impairments in the physical, mental and cognitive domain …

Samenvatting Behandelbeslissingen voor oudere oncologie patiënten zijn vaak complex. Dit komt door de grote variatie in achtergrond, comorbiditeiten, functionele capaciteiten en de impact van kankerbehandelingen op zowel de levenskwaliteit als de levensverwachting. In deze context is samen beslissen, …

This presentation explores AI literacy as a critical and situated dimension of Artistic Research (AR), drawing from recent investigation conducted with Master’s students in a discursive artistic AI course at Frank Mohr Institute. Using a structured questionnaire as both a pedagogical and research tool, …

As workplaces become increasingly complex, manufacturing companies must adopt technologies that not only fulfill customer requirements but also prioritize high-quality jobs for production workers. Assistance systems are gaining popularity because they can enhance manufacturing performance and support …

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 …

This century, greenhouse gas emissions such as carbon dioxide, methane and nitrogen oxides must be significantly reduced. Greenhouse gases absorb and emit infrared radiation that contributes to global warming, which can lead to irreversible negative consequences for humans and the environment. Greenhouse …