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From Pegs to Pixels: A Comparative Analysis of the Nine Hole Peg Test and a Digital Copy Drawing Test for Fine Motor Control Assessment
No full textThis is the supplementary material for the user study conducted in support of the paper "From Pegs to Pixels." It contains the app used to log the data, 3D printing files to create the Nine-Hole Peg Test, and the gathered study data, including the statistical evaluation
Ergebnisse der Internetrecherche nach ML-Angeboten
No full textDie vorliegende Datei zeigt die Ergebnisse der Internetrecherche auf. Darin werden die jeweiligen Anbieter samt relevanter Lernangebote dargelegt
M2QA: A Multi-domain Multilingual Question Answering Benchmark Dataset
No full textM2QA (Multi-domain Multilingual Question Answering) is an extractive question answering benchmark for evaluating joint language and domain transfer. M2QA includes 13,500 SQuAD 2.0-style question-answer instances in German, Turkish, and Chinese for the domains of product reviews, news, and creative writing.v. 1.
All images from manuscript
No full textAll images used for the manuscript "Understanding the swelling behavior of P(DMAA-co-MABP) copolymer in paper-based actuators
Code for Site Area Utilization v2.0
No full textanalysis of percentage of (multiple) pre-defined colors in an image, along with the percentage of said colors in the image2.
Ergebnisse der Kano-Analyse
No full textDie vorliegende Datei stellt das Ergebnis der Kano-Analyse dar. In dieser werden Nutzer hinsichtlich ihrer Gestaltungsanforderungen befragt
Measurement series of smartphone experiments for recognizing AR markers in the Mont Terri URL
Get PDFIn December 2024, experiments were carried out in the Mont Terri underground laboratory in Switzerland as part of the Master's thesis by Ole Woock. The experiments aimed to compare the recognition of different AR markers under different conditions. The Samsung Galaxy S20+ was used. Experiment 1: Visualization and filtering of objects (at SW-A experiment site): Using a marker on the ground, the user visualizes the geometry of boreholes and instrumentations. Experiment 2: Visualizing boreholes (at CL experiment site): Using markers attached to cabinets on the wall, the user reveals boreholes on a wall surface nearby. Experiment 3: Visualizing tunnel segments and tunnel metering: Tunnel segments are displayed and meter markings are projected onto the floor. Abbreviations of the marker types: DataMatrix = Mont Terri zone target, PT = Plaint Text, C128 = Code 128/Barcode, QR1 = QR-Code 6-characters-coded, QR2 = QR-Code 102-characters-coded, VuM = Vuforia VuMark.Version
Supplementary Material | Continual learning for very short-term load forecasting: A Case Study on parts cleaning
No full textHere you can find the supplementary material to the paper "Continual learning for very short-term load forecasting: A Case Study on parts cleaning".
Experiments were carried out on an industrial Throughput Parts Cleaning Machine (TPCM) at the ETA factory.
The machine is equipped with power measurements (1 Hz) on electrical component level. The Dataset contains 1 min averaged data of sensor and control values. Additional informations are provided as text protocol
Data of Systematic Literature Review of Chaos Engineering Requirements for Industrial Production
No full textThis publication contains a comprehensive overview of the systematic literature review process conducted to identify requirements for applying Chaos Engineering in industrial production.v