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Understanding and quantifying the factors determining potential worst-case heat anomalies
(2024)Over recent decades, many unprecedented heat extremes have been recorded, resulting in devastating impacts on the environment, society, and economy. However, while the proximal causes of moderate heatwaves are clear (anticyclonic large-scale flow situations, subsiding air and clear skies, dry soils, and amplified land-atmosphere interactions), the physical processes that differentiate the potential worst-case heatwaves from somewhat ...Master Thesis -
Iterative Learning Control for Highway Traffic Control
(2024)In the modern world, congestion on the highway has become a significant social problem due to the increasing number of vehicles. This leads to considerable waste of time and pollution. On the other hand, service stations play an important role in affecting the congestion on highways. In this project, we aim to study the effect of controlling the outflow of the service station on the overall congestion on the highway. Moreover, the vehicle ...Master Thesis -
Functional Neural Networks
(2024)With the technological advancements in data collection and storage, it is not uncommon to encounter situations where data are observed realizations of some underlying process defined over a continuous domain. Examples of such datasets are often found in finance, acoustics, medicine, engineering and many other disciplines. Functional data analysis (FDA) is a fairly recent field that offers a powerful framework for analyzing such data by ...Master Thesis -
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BIM-Based Circularity Assessment for Swiss Architecture Competitions
(2024)This thesis aimed to provide quantitative methods to assess circular construction strategies in Swiss architecture competitions. Its methodology consisted of three steps: Firstly, current practices in architecture competitions were identified. Secondly, current assessment methods were revised and, thirdly, integrated into a BIM-based competition delivery process. Very few Swiss architecture competitions that explicitly targeted circularity ...Master Thesis -
Solving the Elastic Wave Equation with Physics-Informed Neural Networks: A Robust and Critical Assessment
(2024)Physics-Informed Neural Networks (PINNs) have recently emerged as a promising approach for solving Partial Differential Equations (PDEs), offering a meshfree alternative that integrates physical principles into the learning process. This presents a new paradigm compared to traditional discretization methods and purely data-driven machine learning techniques. While promising, PINNs are not a panacea; they inherit challenges such as spectral ...Master Thesis -
Design of an HDPE bottle collection and pre-cleaning system for recycling in Blantyre, Malawi
(2024)Until today, around 3 billion people lack access to municipal solid waste collection. Espe- cially low-income countries struggle with mismanagement of plastic waste. Openly disposed plas- tic materials form a severe risk to humans, animals, and the environment. To mitigate the growing issue of improperly discarded plastic waste in Blantyre, Malawi, a pilot program is being estab- lished by the Chair of Global Health Engineering at ETH ...Master Thesis -
Detection of Contamination in Biowaste
(2024)In the pursuit of a circular economy and the optimization of recycling rates for municipal waste, biowaste, constituting over 34% of Europe’s total municipal waste, emerges as a signifi- cantly overlooked resource. The potential of converting this biowaste into biogas and compost is substantial, offering valuable sources of green energy and fertilization, respectively. How- ever, a central challenge obstructing this potential lies in ...Master Thesis -
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