We develop a distributed machine learning system to sort out defect plastic parts during production. Main challenge is the transferability of learnt process know-how from case to case; the solution builds on domain adaptation, continual data-centric deep learning and federated edge computing.  ...

The ever-increasing integration of renewable energy sources within modern power systems has significant benefits from the economic and environmental point of view, but poses also some technological challenges that shall be addressed to guarantee a safe and continuous service. Distributed energy resources are ...

Entwicklung und Simulation von Algorithmen für die Transformation der Achskinematik von Unrundpräge-Maschinen.

The goal of the LINA consortium is to create a basis for the largest European (real and virtual) infrastructure for research, development and safe testing of autonomous systems / UAS (Unmanned Aircraft System) for commercial products in the canton of Zurich.

Development and calibration of a calculation method using machine learning for the weight- and space-saving design of flexible shafts, based on dynamic characteristic values determined with a new type of test equipment.

Development of a Proof of Concept for visual Open Set Recognition (OSR) algorithms applied to a Hematology task, the classification of white blood cells.

The proposed scientific exchange with the Oslo Metropolitan University in Norway addresses  the protection of sensitive elements against stress waves through designing smart wave guides and phononic cloaks using metamaterials.

Multiphysics analysis of a complex pharmaceutical production process, involving heat heat- and mass transfer phenomena, laminar flow patterns and particle dynamics.

A battery-powered audio-visual sensor platform for edge AI computing with highly scalable processing and ultra low power consumption is being developed. It enables high-performance AI applications at the edge while providing very long battery lifetimes.

The Smart Grid International Research Facility Network (SIRFN) is a network of smart grid researchers with test facilities in countries participating in the Implementing Agreement for a Cooperative Programme on Smart Grids (ISGAN). The Electrical Energy Systems and Smart Grids Research Group of IEFE, ZHAW represents ...

In this project, the feasibility of a "measuring cushion for clinical use" is to be tested. The measuring cushion is to be designed in such a way that the anatomical body impression (relief) can be digitised. Central to this is a built-in pressure measurement (pressure height, direction and shear forces). The body ...

The project enables a novel, combined, adaptive cancer therapy combining tumor treating field and radiation therapy due to significantly improved static (3D) and time-resolved (4D) low dose Cone Beam Computer Tomography images based on artificial intelligence image reconstruction algorithms.  ...

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 ...

The goal of this project is to lay the technological foundations for empowering various stakeholders to make fact-based decisions to achieve sustainable consumption and production. In particular, we will evaluate how various data science, machine learning and artificial intelligence methods can be used to extract ...

By optimizing production in the textile industry, digitalization can help to reduce power consumption and thus, emissions of pollutants. Yet, digitalization itself creates emissions, e.g., by using powerful AI algorithms. There is currently no transparency for how digitalization investments can reduce emissions. The ...

Training on patients according to the principle of “see one, do one and teach one” no longer corresponds to today’s requirements and technical opportunities regarding education of surgical residents. During the Covid-19 pandemic, most hands-on training had to be discontinued, leading to an almost complete ...

Scope of the project is to enable competitive, large scale Photovoltaic (PV) power production by implementation of new features on already developed land with a retractable PV roof concept. Project innovations are less metal used for robust PV mounting structure, prefab assembly, automatic PV module cleaning and ...

The PRISM project focuses on detecting radicalization events in Social Media networks. Overall, we are interested in unveiling the mechanics that lead to the event of extremist ideology being transferred and incorporated into a social media user’s world view. Specifically, the proposed project aims to identify ...

The use of plastic gears in drives is growing rapidly, especially in the module size range 0.5 to 1.5 mm and at maximum load cycles during the product life of 105 to 106. A key factor for reliability is the tooth root strength of the gears. Although injection moulding, which is the common production method for ...