Recently, vibration-based monitoring technologies have become extremely popular, providing effective tools to assess the health condition and evaluate the structural integrity of civil structures and infrastructures in real-time.In this context, battery-operated wireless sensors allow us to stop using wired sensor networks, providing easy installat
Exploring the perspectives of key stakeholders on the design and delivery of a cognitive rehabilitation intervention for people post-stroke.
PurposeStroke is a leading cause of death and disability worldwide.Despite the prevalence and associated burden of post-stroke cognitive impairment, there is uncertainty regarding optimum interventions to improve cognitive function in people post-stroke.The aim of this study is to explore Eye Primer the perspectives of key stakeholders on the desig
Artificial Intelligence in Wound Care: A Narrative Review of the Currently Available Mobile Apps for Automatic Ulcer Segmentation
Introduction: Chronic ulcers significantly burden healthcare systems, requiring precise measurement and assessment for effective treatment.Traditional methods, such as Plastic Cup manual segmentation, are time-consuming and error-prone.This review evaluates the potential of artificial intelligence AI-powered mobile apps for automated ulcer segmenta
Optimising Warehouse Order Picking: Real Case Application in the Shoe Manufacturing Industry
Order picking is a critical and labour-intensive warehouse management operation that involves removing items from storage locations to fulfil customer orders.This paper analyses a new order-picking problem based on the real case of a Canadian shoe manufacturer characterised by a warehouse with random storage, where different product types can be as