Understanding the characteristics of photovoltaic system (PV) adopters can help policymakers realise energy transition more effectively. In this study, we developed a model that predicts PV adoption per building using geometric and socioeconomic variables. Seven geometric variables were created by processing building registration data, airborne las...
This thesis studies the Canonical Polyadic Decomposition (CPD) constrained kernel machine for large scale learning, i.e. learning with a large number of samples. The kernel machine optimization problem is solved in the primal space, such that the complexity of the problem scales linearly in the number of samples as opposed to scaling cubically in t...
that do not require any action from the drivers for a short period of time. Although these systems are still limited and only reliable in certain situations, it shows the general trend: cars will become more and more autonomous. The reasons why people and companies are eagerly anticipating fully autonomous cars are manifold: self-driving vehicles c...
Composites are increasingly used in the aerospace industry due to their lightweight potential and flexible design options. The most widespread manufacturing process for large components made of fibre composites is still the open mould process. In this process, a composite component is placed on a mould and hermetically sealed with a vacuum bag cons...
This thesis addresses the problem of data scarcity in human deep-learning applications. Automated estimation of human shape and pose from an image is challenging. It is even more difficult to map the identified human pixels onto a 3D model. Existing deep-learning models learn to map manually labelled human pixels in 2D images onto human surface, wh...
Published in Ophthalmology. Retina
To train a deep learning (DL) algorithm to perform fully automated semantic segmentation of multiple autofluorescence lesion types in Stargardt disease. Cross-sectional study with retrospective imaging data. The study included 193 images from 193 eyes of 97 patients with Stargardt disease. Fundus autofluorescence images obtained from patient visits...
One of the most notable distinctions between humans and most other animals is our ability to grow collective intelligence along generations. This development appears exponential; we are witnessing an explosion of knowledge and technical capabilities. Since the invention of computers, artificial intelligence (AI) has enabled machines to push further...
Published in Zeitschrift für wirtschaftlichen Fabrikbetrieb
Der Verbrauch von elektrischen Antrieben in der Industrie und dem verarbeitenden Gewerbe beträgt in Deutschland fast zwei Fünftel des gesamten Stromes. Somit werden den Elektromotoren eine Schlüsselrolle bei der Energieeinsparung zugeschrieben. Besonders hoch liegt die Energieeinsparung im Leistungsbereich zwischen 0,75 kW und 40 kW, da hier die me...
Published in Zeitschrift für wirtschaftlichen Fabrikbetrieb
Die Auswertung sensorischer Daten von stationären Betriebsmitteln in der Produktion bietet Potenziale zur Reduktion störungsbedingter Kosten. Vernetzte Sensoren dienen dabei zur datengetriebenen Fehlerursachenanalysen. In diesem Beitrag wird ein generalisierter Ansatz zur Detektion von anomalen Zuständen auf Basis maschineller Lernalgorithmen und d...
Published in Frontiers in Public Health
