Responsible Innovation of Artificial Intelligence: at Erasmus MC

In this study, the aim is to find out how Erasmus MC can properly prepare for the AI Act. An iterative design approach was utilized to explore what AI project members may experience during this regulatory process. Several factors have emerged during this experimental study, including the allocation of responsibility, the importance of education...

A magnetic actuated deployable suction gripper for complex shaped surface attachment: An explorative design study

Suction grippers have the advantage to handle many different types and sizes of items, without being restricted by the dimensions of clamps to enclose an object and to handle objects more delicately. <br/>However, the challenge of attaching these grippers to irregularly-shaped and rough surfaces remains a persistent issue. Despite advancements...

Advancing deep learning-based detection of floating litter using a novel open dataset

Supervised Deep Learning (DL) methods have shown promise in monitoring the floating litter in rivers and urban canals but further advancements are hard to obtain due to the limited availability of relevant labeled data. To address this challenge, researchers often utilize techniques such as transfer learning (TL) and data augmentation (DA)....

Deep learning for detecting macroplastic litter in water bodies: A review

Plastic pollution in water bodies is an unresolved environmental issue that damages all aquatic environments, and causes economic and health problems. Accurate detection of macroplastic litter (plastic items &gt;5 mm) in water is essential to estimate the quantities, compositions and sources, identify emerging trends, and design preventive...

Short and long-term innovations on dietary behavior assessment and coaching: Present efforts and vision of the pride and prejudice consortium

Overweight, obesity and cardiometabolic diseases are major global health concerns. Lifestyle factors, including diet, have been acknowledged to play a key role in the solution of these health risks. However, as shown by numerous studies, and in clinical practice, it is extremely challenging to quantify dietary behaviors as well as influencing...