The rapid advancement of Generative AI (GenAI), particularly large language models (LLMs), has significantly reshaped how individuals and organizations engage in decision-making. From customer service and education to strategic planning and design, these technologies are no longer limited to providing …

Sewer pipe defects pose a serious challenge for municipalities, as delayed detection leads to costly repairs and service disruptions. Timely inspection is therefore essential, yet current practice relies on manual video review, which is labor-intensive and subjective. Computer vision offers automation, …

Increasing digitalization and automation in the maritime sector places great emphasis on the technical skills of crew. However, non technical skills (NTS) including teamwork, leadership and communication are equally crucial. Resource Management Training courses can be expanded with Resilience Engineering …

We introduce NeedForHeat DataGear: an open hardware and open software data collection system designed to accelerate the residential heating transition. NeedForHeat DataGear collects time series monitoring data in homes that have not yet undergone a heating transition, enabling assessment of real-life …

This research explored the use of deep learning to classify impact events on wind turbine blades using spectrogram images. Audio data were recorded through indoor and outdoor simulations using smartphones. The data preparation process involved converting stereo recordings to mono, applying downcasting …

This research investigates the absence of automation in the accounting process for SumUp’s Cash Advance service and evaluates whether automation is a feasible, beneficial, and strategic solution. The process, which was initially observed to be fully manual, raised concerns regarding operational inefficiency, …

The study conducted in this report was carried out at TGW Ibérica as part of a graduation internship, with the goal to improve the palletization process in the outbound area of "Client A," one of the world’s largest textile companies. The current situation of a client's palletizing process is that it …

Collaborative robot arms (cobots) are gaining a strong foothold in contemporary manufacturing workplaces. While more information about the cobot’s impact becomes available, crucial design, work perception, performance, and strategic implications are systematically overlooked. Following a modern sociotechnical systems …

As urban environments increasingly adopt automated technologies for municipal enforcement, this paper interrogates the erosion of human judgment, discretion, and interaction in public space governance. Drawing on participatory design workshops within the “Human Values for Smarter Cities” project, the …

Many have suggested that AI-based interventions could enhance learning by personalization, improving teacher effectiveness, or by optimizing educational processes. However, they could also have unintended or unexpected side-effects, such as undermining learning by enabling procrastination, or reducing …