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 …

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, …

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 …

The energy transition from fossil fuels to sustainable alternatives makes the design of future-proof ships even more important. In the design phase of a ship, it is uncertain how many and which fuels it will use in the future due to many external factors. In fact, a ship typically sails for decades, …

The logistics sector is continually seeking innovations to improve service productivity and profitability in freight transport, such as reduced fuel consumption and automation in warehouses. However, the road transport sector in Europe currently faces challenges such as a shortage of drivers, unused …

This thesis explores the development and integration of an automatic riggingtool as part of a web-based remote motion capture platform. The main objec-tive is to create a custom Auto Rigger using Python for Maya and seamlesslyincorporate it into the existing TPose platform.The research begins by investigating …

Photonic biosensors for medical diagnostics have been in development for some time. They have proven to show equal or better performance as compared to other techniques in terms of sensitivity, accuracy, and reliability. In order for companies to successfully introduce these sensor products on the market, …

The Inverted Pendulum is one of the classical control problems of an inherently unstable system. The idea is that the pendulum, fixed on a cart, stays upright in its vertical position while the cart is moving, or disturbances are applied. The system is used to demonstrate the capability of the target …