-
Data publication: 3D detection and tracking of deformable bubbles in swarms w...
Synthetic data set for 3D tracking of bubbles in multi-view measurements. -
Software publication: 3D detection and tracking of deformable bubbles in swar...
This package contains the software and the trained models described in the publication "3D detection and tracking of deformable bubbles in swarms with the aid of deep... -
Software publication: 3D detection and tracking of deformable bubbles in swar...
Software for 3D tracking of deformable bubbles in swarms -
Replication Data for: 'Deepfakes: evolution and trends'
This study conducts research on deepfakes technology evolution and trends based on a bibliometric analysis of the articles published on this topic along with six research... -
PUBLICPLAN
PUBLICPLAN collects 2446 different labelled layouts of housing proposal submitted to Spanish public housing competitions organized by Impsol, Incasòl and Ibavi. Each floor is... -
Interface reconstruction of adhering droplets for distortion correction using...
The flow within adhering droplets subjected to external shear flows has a significant influence on the stability and eventual detachment of the droplets from the surface. Most... -
TFCGAN package: Conditional Generative Models in Time-Frequency domain for Gr...
Despite the exponential growth of the amount of ground‐motion data, ground‐motion records are not always available for all distances, magnitudes, and site conditions cases.... -
Dataset for Training of a Deep Learning Based Digital Subtraction Angiography...
Background: Digital subtraction angiography (DSA) is a fluoroscopy method primarily used for the diagnosis of cardiovascular diseases. Deep learning-based DSA (DDSA) is... -
Deep learning models for generation of precipitation maps based on NWP Code
Implementation of deep learning models for creating precipitation maps based on COSMO-DE-EPS forecast -
Deep-sea observatories images labeled by citizen for object detection algorithms
Observatories provide continuous access to both coastal and deep-sea ecosystems, particularly from underwater imaging that is a non-destructive method for examining biodiversity... -
Brazilian Cerrado natural vegetation dataset
This dataset is composed of Sentinel-1 and Sentinel-2 data of several areas of the Brazilian Cerrado for the development of supervised deep learning algorithms on SAR-optical... -
Eindhoven Wildflower Dataset
Annotated dataset with 2002 high-resolution images of wildflowers (patches of approximately 1m2) taken in 5 landscape types (roadsides, urban area’s, cropland, grassland, and... -
A deep learning dataset for metal multiaxial fatigue life prediction
In this work, we present a comprehensive dataset designed to facilitate the prediction of metal fatigue life using deep learning techniques. The dataset includes detailed... -
A deep learning dataset for metal multiaxial fatigue life prediction
In this work, we present a comprehensive dataset designed to facilitate the prediction of metal fatigue life using deep learning techniques. The dataset includes detailed... -
A deep learning dataset for metal multiaxial fatigue life prediction
In this work, we present a comprehensive dataset designed to facilitate the prediction of metal fatigue life using deep learning techniques. The dataset includes detailed... -
Unifying Antimicrobial Peptide Datasets for Robust Deep Learning-Based Classi...
Leguminous crops are vital to sustainable agriculture due to their ability to fix atmospheric nitrogen, improving soil fertility and reducing the need for synthetic fertilizers.... -
Common Vulnerability Scoring System Prediction Based on Open Source Intellige...
This repository contains the dataset used to train BERT-based models based on open information sources. We aimed to build a more robust model to predict the Common Vulnerability... -
Supplementary Material for Ph.D. Thesis: Deep Supervision of the Vocal Tract ...
Supplementary Material for Ph.D. Thesis: Deep Supervision of the Vocal Tract Shape for Articulatory Synthesis of Speech Videos demonstrating the methods proposed in the thesis... -
The BeachLitter Dataset v2022
8-class segmentation masks by high-quality manual pixel-by-pixel annotations, corresponding 3500 beach litter images from 2011 to 2019 in Yamagata Prefecture, Japan. (papers are... -
EGOFALLS: A visual-audio dataset and benchmark for fall detection using egoce...
We've provided a readme.pdf to explain how to use the dataset. Here, we reiterate some of that information to assist others in utilizing the dataset. Please be aware that the...