Explainable Artificial Intelligence (XAI) aims to provide insights into the inner workings and the outputs of AI systems. Recently, there’s been growing recognition that explainability is inherently human-centric, tied to how people perceive explanations. Despite this, there is no consensus in the research …

Airports have undergone a significant digital evolution over the past decades, enhancing efficiency, effectiveness, and user-friendliness through various technological advancements. Initially, airports deployed basic IT solutions as support tools, but with the increasing integration of digital systems, …

This study presents a methodology designed to optimize various parameters of each access point within a Multiple-Input Single-Output (MISO) Visible Light Communication (VLC) system. The primary objective is to enhance both power and spectral efficiencies. A MISO-VLC model is presented based on experimental …

The potential impact of urban (re)development on the well-being of residents has been recognized in literature (Butcher & Dickens, 2016; Brummet and Reed, 2019), underscoring the need to critically examine one’s approach to studying the so called ‘urban peripheries’. This paper proposes the practice …

This save-system is vital to the Traingineers project, but due to the chaotic development cycle of the project, it has not yet been implemented. Traingineers started off as a prototype. After this prototype was accepted another one was made, reusing the old code, and then again. Through multiple re-iterations …

The American company Amazon has made headlines several times for monitoring its workers in warehouses across Europe and beyond.1 What is new is that a national data protection authority has recently issued a substantial fine of €32 million to the e-commerce giant for breaching several provisions of the …

Dynamic energy contracts, offering hourly varying day-ahead prices for electricity, create opportunities for a residential Battery Energy Storage System (BESS) to not just optimize the self-consumption of solar energy but also capitalize on price differences. This work examines the financial potential …

This paper presents the preliminary design of the Horti-database, a digital tool supporting the development of drone-based monitoring systems (DBMS) for greenhouse crops. With increasing demand for sustainable food production and reduced pesticide use, DBMS offers a promising solution for automated, …

In recent years, the demand for efficient automation across various sectors has accelerated significantly [...].

In their study "How Perceived Fit Affects Customers’ Satisfaction of In-Store Social Robot Advice", Stephanie van de Sanden, Tibert Verhagen, Ewout Nas, Jacqueline Arnoldy, and Koen Hindriks explore how various dimensions of perceived fit influence customer attitudes and satisfaction toward social robots …