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Supplementary material: Machine learning based classification of vector field...
The data set contains the supplementary material to support the paper: Machine learning based classification of vector field configurations. The dataset contains simulation... -
Model structures for glass phases of the solid-state electrolyte LPS
This dataset contains several representative glass structures for stoichiometries Li3PS4, Li4P2S7, and Li7P3S11 from the class of Li2S-P2S5 (LPS) solid-state electrolytes (SSE). -
Dataset: tweets and analyses related to the paper 'The (Un)Predictability of ...
This dataset features all the tweetids and labels that were used to model the language of 24 hashtags, and test the performance on predicting the hashtags in unseen tweets. This... -
Dataset: tweets and analysis related to the paper 'Signaling sarcasm: From hy...
This dataset features training and test tweets as well as insights into the classifier model related to the paper: Kunneman, F.A., Liebrecht, C.C., Mulken, M.J.P. van &... -
Data: Timely identification of event start dates from Twitter
This directory features data that is discussed in the paper: F. Kunneman, A. Hürriyetoglu, N. Oostdijk and A. Van den Bosch (2014), Timely identification of event start dates... -
AIAx CAD Dataset
We present a dataset of 3D CAD models (.stl) from the field of mechanical engineering. There are 7 core classes (cover, flange, housing, mounting, rodprobe, sensor, tube) and 5... -
Training and validation dataset 2 of milling processes for time series predic...
Das Ziel des Datensatzes ist das Training und die Validierung von Modellen zur Vorhersage von Zeitreihen für Fräsprozesse. Dazu wurden an einer DMC 60H Prozesse mit einer... -
Training and validation dataset of milling processes for time series prediction
Ziel des Datensatzes ist das Training sowie die Validierung von Modellen zur Prognose von Zeitreihen für Fräsprozesse. Hierfür wurden an einer DMG CMX 600 V durch eine Siemens... -
Multivariate time series dataset of milling 16MnCr5 for anomaly detection
The dataset was recorded during milling of 16MnCr5. Due to artificially introduced, though realistic anoma-lies in the workpiece the dataset can be applied for anomaly... -
Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural...
This archive provides supplementary materials for the doctoral thesis Modeling and Communicating Flexibility in Smart Grids Using Artificial Neural Networks as Surrogate Models.... -
Industrial Machine Tool Element Surface Defect Dataset
Using Machine Learning Techniques in general and Deep Learning techniques in specific needs a certain amount of data often not available in large quantities in some technical... -
Evolution of Surface Defects on Ball Screw Drive Spindles for intelligent Pro...
The dataset shows the development of 82 surface defects (pits) over the operating time of Ball Screw Drives. The name of the images is structured as follows:... -
Domain-Shift-Dataset of Defects on Metallic Surfaces (MSD-Shift)
The dataset maps two different surfaces (domains) from mechanical engineering (Surfaces of Ball Screw Drives (BSD); Surface of Metallic Semi-finished Products (SEV)). The... -
Dataset for the Segmentation of Industrial Burner Flames
The published dataset contains images and masks related to the research article with the title "Segmentation of Industrial Burner Flames: A Comparative Study from Traditional... -
Ball Screw Drive Surface Defect Dataset for Classification
The dataset contains of 21835 150x150 Pixel RGB images of the surface of Ball Screw Drives. 11075 of these images are images without surface defects whereas the rest shows... -
3D µCT images of specimens of carbon fiber reinforced polyamide 6 plaque, fib...
This dataset includes 3D µCT images of nine different specimen of 10 mm \times 10 mm of a carbon fiber reinforced polyamide 6 plaque produced in the long fiber reinforced... -
Date Estimation in the Wild Dataset
This dataset has no description
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Data underpinning "Generalization Capabilities of Machine Learning-based PDM ...
"graph_data.xlsx" is an excel spreadsheet containing the graph data. There are two sheets, "Nonlinearities" which contains the data in Fig 2a, and "Dispersion" containing the... -
The rule of four: anomalous stoichiometries of inorganic compounds
Why are materials with specific characteristics more abundant than others? This is a fundamental question in materials science and one that is traditionally difficult to tackle,...