Publications and projects according to DDC005: Computer programming, programs and data
2021(4), pp. 20-21.
Available from: https://doi.org/10.21256/zhaw-23064
Meierhofer, Jürg; Heinatz Bürki, Gundula,
35(3), pp. 62.
Available from: https://doi.org/10.21256/zhaw-23050
Proceedings of the 33rd SSDBM.
International Conference on Scientific and Statistical Database Management (SSDBM), Online, 6-7 July 2021.
Available from: https://doi.org/10.1145/3468791.3469119
Performance evaluation of Crystal [paper].
Crystal 1.0 Conference, online, 8 July 2021.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-22807
Casián, Carlos; Pugnetti, Carlo,
Allianz Business Insights.
Low Power Actuator
Technologies for a low power actuator are specified, researched, developed and tested. The results are the basis for a new generation of low power access control devices.
Automatic Data Selection for Machine Learning based Anomaly Detection
We develop and test a novel method for a fully unsupervised selection of appropriate training data for anomaly detection using machine learning methods.
Laboratory 4.0 – Digitization in applied materials research
Whereas digitization has penetrated the business world and thanks to the smartphone our every-day life, students and researchers starting in a lab receive a paper notebook with their lab coat. On the one hand, this might look outdated, on the other hand, one might ask the question whether digital assistance is ...
Novel high-speed, low latency distributed data link for precision measurement systems in demanding environments
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 ...
GraphQueryML – Using Machine Learning to Optimize Queries in Graph Databases (SNSF/DFG)
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 ...