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This project proposes an innovative approach to improve product quality through early detection of potential manufacturing defects that could lead to premature device failures. It is based development of machine learning models on manufacturing, testing, and field data.

Greengrocer develops robust data and models for sustainable food systems. In this context, ZHAW is fundamentally advancing the Food Chain Model by integrating nutrition, processing and food waste, thereby making it usable for advisory, research and AI-driven applications.

This project develops an AI-assisted assessment system building on prior research. The system will be implemented and evaluated using real student data and feedback.

This project develops an evidence-based policy brief on the use of poppers (alkyl nitrites) in Switzerland in an international context. It analyses regulation, health risks, and provides recommendations for harm reduction and public health strategies.

Most areas of rural Lebanon suffer from inadequate wastewater management and corresponding investments. Current practices drive health issues and lead to vast amounts of greenhouse gases. The proposed project will pilot the application of pyrolysis on locally collected dry sludge in Lebanon to…

Many office buildings still rely on inefficient fossil-fuel heating and separate air conditioning systems. This project compares three integrated heating and cooling systems using different refrigerants to identify the most efficient, sustainable, and cost-effective solution for decarbonization.

SBES's HyFlexGT burner can quickly adapt to various gas turbine models for hydrogen combustion. A versatile thermoacoustic model is needed to predict the behavior of the different burner versions, enabling efficient scaling.

LACISE research program is dedicated to advancing the energy sector by developing and implementing AI-based solutions for grid stability, resilience, and efficiency, as well as pioneering novel battery materials and innovating hydrogen production technologies.

The goal of this project is to raise awareness on the topic of unconscious bias in health care among faculty of medical and health care professions at Swiss universities.

For the further development of an intraoral scanner (IOS), various AI stereo matching algorithms are being examined for their suitability for use in the product. The aim is to identify a suitable model for training and implementation, to convert it to TensorRT and to optimize the real-time…

Architecture has a major influence on the climate and is currently looking for solutions. However, this is not new: topics such as re-use or regenerative materials were already being investigated and incorporated into experimental buildings after the Second World War. This project aims to…

The goal of the project is to strengthen surveillance of antimicrobial resistance in animals and food products, with a focus on international travelers. The project will explore (and quantify the uncertainty of) using AI-based text and image mining techniques to extract data on the prevalence of…

The Swiss Integration Agenda requires refugees to actively integrate into local social structures and neighborhoods within seven years of receiving their asylum decision. But how can this be achieved when a large proportion of refugees perceive their own health status as poor and the asylum centre…

The aim of the proposed study is to develop a toolbox to support nursing homes in building organisational capacity to implement and sustain person-centred dementia care.

The research project investigates the extent of reuse potential in Winterthur and the technical, legal, and organizational requirements that need to be met in order to enable the circular use of building components in an urban context.

When a child has to be placed outside the family, maintaining existing relationships is crucial. Foster families from the child's relatives or social environment therefore play an important role. The aim of the project is to develop and evaluate a procedure for clarifying and supporting such foster…

AI for Peach Breeding – This project harnesses artificial intelligence for data-driven breeding, aiming to develop innovative analytics and selection strategies.