-
A kinetic Monte Carlo dataset of monoatomic step roughening for deep generati...
<p>Deep Generative models have shown impressive capabilities in several applications, e.g., image, video, and audio synthesis. Importantly, they can infer probability... -
Generalized DeepONets for Viscosity Prediction Using Learned Entropy Scaling ...
Data-driven approaches used to predict thermophysical properties benefit from physical constraints because the extrapolation behavior can be improved and the amount of training... -
SalChartQA: Question-driven Saliency on Information Visualisations (Dataset a...
Understanding the link between visual attention and user’s needs when visually exploring information visualisations is under-explored due to a lack of large and diverse datasets... -
YOLO-WAL: Fluid emission detection by Water-column Acoustics and a deep Learn...
YOLOv5-WAL is a YOLOv5-based deep learning supervised approach to automate the detection of fluids emitted from the seafloor (e.g. methane bubbles from cold seeps and liquid... -
QoI - Droplets
This dataset consists of a database of droplets extracted from high resolution shadowgraphy images in technical sprays. The database is one subclass utilised in the generation... -
Nuisance - OOFObjs
This dataset contains the database of Out Of Focus Objects (OOFObjs) - currently mostly droplet and used droplet sizing in shadowgraphy analysed sprays. The database is one... -
Code for training and using the soot (instance) segmentation models
This dataset contains the necessary code for using our soot (instance) segmentation model used for segmenting soot filaments from PIV (Mie scattering) images. In the... -
Nuisance - OOPObjs
This dataset contains the database of Out Of Plane Objects (OOPObjs) extracted from PIV (Mie scattering) measurements within an RQL-type combustors. The database is one... -
Background - Tracer particle regions
This dataset contains the database of image snippets of PIV tracer particles (i.e. Mie scattering) in the background extracted from sooting flame measurements within an RQL-type... -
QoI - Tracer particles
This dataset contains the database of image snippets of dense clusters of PIV tracer particles (i.e. Mie scattering) marking the reactants within sooting flame measurements in... -
QoI - Soot filaments
This dataset contains the database of soot filaments extracted from PIV (Mie scattering) measurements. The database is one subclass utilised in the generation of synthetic... -
Datensätze und Modelle zur Dissertation Kamerabasierte Topologieschätzung zur...
Datensätze und Modelle zur Dissertation Kamerabasierte Topologieschätzung zur roboterbasierten Handhabung von verzweigten Leitungssätzen. In den Daten sind Rohdaten mit... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for the third arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to... -
Data for: "Scanpath Prediction on Information Visualizations"
We propose Unified Model of Saliency and Scanpaths (UMSS) - a model that learns to predict multi-duration saliency and scanpaths (i.e. sequences of eye fixations) on information... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for the second arXiv version of our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to... -
Data for "VisRecall: Quantifying Information Visualisation Recallability via ...
Despite its importance for assessing the effectiveness of communicating information visually, fine-grained recallability of information visualisations has not been studied... -
Code and Data for: A Framework and Benchmark for Deep Batch Active Learning f...
This dataset contains code and data for our paper "A Framework and Benchmark for Deep Batch Active Learning for Regression". The code can be used to reproduce the results, to... -
MassiveFold data for target H1217 - T258
MassiveFold data generated for CASP16, in collaboration with CAPRI . 395 predictions were generated for the target. - a description of the setup can be found in... -
MassiveFold data for target H1220 - T262
MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup... -
MassiveFold data for target T1231
MassiveFold data generated for CASP16, in collaboration with CAPRI . 8040 predictions were generated for the target = 1005 x 8 sets of parameters. - a description of the setup...