We develop and test a novel method for a fully unsupervised selection of appropriate training data for anomaly detection using machine learning methods.

This project will identify proven methods, practices and standards that support responsible research and development of AI systems for health. They will be tested in use cases from medical imaging and neurotechnology, publicly released and published as a guideline of recommended best practices.  ...

The complex, internal relationship between rail schedules and staff rotation is here addressed for a complete analysis of the current performance of train drivers. The potential for performance improvement in relation to the constraints imposed by the timetable and the corresponding shift plans (e.g., use of buffer ...

SPECS Zurich GmbH provides measurement systems for scanning probe microscopy and quantum transport applications. During this project, a new plug&play-capable high- speed serial interface with ultra low latency and optical transmission shall be developed, such that it can be used in demanding environments such as ...

Optimization of powder preparation in 3D printing using Laser Powder Bed Fusion (PBFLB/ P)

The project aims to develop and implement dedicated calibration procedures and parts that are tailored to critical applications of ABB and Sauber, to improve the accuracy of distortion predictions for specific components. Machine learning is then used to enhance simulations also beyond the calibrated regime. This ...

The decarbonisation of heating systems is a big challenge for the building economy. The project ThermoPlaner3D develops novel innovative products that allow energy suppliers to support the energy change in buildings in a profitable manner. ThermoPlaner3D provides detailed 3D building energy assessments over large ...

Digital transformation constitutes one of the most important innovations at the local level of government and is expected to reshape local service delivery, public administration, and governance in Europe fundamentally. Most recently, the COVID-19 pandemic has shown the fundamental importance of a well-prepared ...

Optimizing the brain of databases with machine learning: Query optimization is one of the hardest problems of database systems research. A query optimizer can be considered as the “brain” of the system that makes sure that queries are executed efficiently. Even after several decades of research, many sub-problems ...

Raman spectroscopy is a highly sensitive measurement method for non-destructive chemical analysis, which is becoming increasingly widespread in process and quality control. In the project a new modular setup will be set up for flexible experimental testing.

Photos are a wonderful medium in corporate and science communications to showcase what faculty, staff, and students do at the ZHAW. But which photos are interesting and which are not? The aim of our project is to better understand the aesthetic and semantic characteristics of the photos in relation to the academic ...

Researchers in an applied sciences context, including at Zurich University of Applied Sciences, have no adequate means to gain insights into their past e-mail and chat communication. Usually this communication archive is a treasure - a hidden gem - when trying to remember contacts, project opportunities, ...

The DOSSMA project will investigate suspicious and malicious behaviour on social media platforms. In a first phase, we will compile an extensive survey report on the areas that are currently being researched, including the respective state-of-the-art, existing solutions and initiatives. This report will serve as a ...

In this R&D project, scanmeter - a service for the automated security analysis of IT systems - is being extended by three innovative components. This will significantly increase the level of automation and test coverage, significantly improve customer benefits, and expand the fields of applications. Specifically, ...

Over the last few years, Reinforcement Learning (RL) has gained significant attention as a framework for learning optimal decisions even in complex environments. Moreover, RL is currently considered one of the most promising research areas in machine learning and has already demonstrated immense potential for ...

PDF is the most popular document format to provide and distribute information on the internet. It was developed by Adobe 1996 but has been an open format since 2008. It was estimated in 2015 that more than 2.5 trillion PDF documents exist on the internet, covering all aspects of life and research, and their number ...

Extra virgin olive oil is very beneficial to our health due to its anti-inflammatory and antioxidant activity. Only a fifth of the extra virgin olive oils sold in Switzerland met the quality's requirements. This project aims to investigate a new method for the analysis of extra virgin olive oils through optical ...

ZHELIO: A User Assistance System (workbench platform) for building operators combining automation, information technology, IoT sensors, optimisation and digital modelling of assets. The envisioned system empowers users to use, interact and optimise living buildings and promote digital transformation  ...

Simulation- and experimental-based analysis of vibrational impact on pharmaceutical fluids