Articles with "data generation" as a keyword



Time-Resolved Directional Brain–Heart Interplay Measurement Through Synthetic Data Generation Models

Sign Up to like & get
recommendations!
Published in 2019 at "Annals of Biomedical Engineering"

DOI: 10.1007/s10439-019-02251-y

Abstract: Although a plethora of synthetic data generation models have been proposed to validate biomarkers of brain and cardiovascular dynamics separately, a limited number of computational methods estimating directed brain–heart information flow are currently available in… read more here.

Keywords: data generation; heart; synthetic data; generation models ... See more keywords

Enhancing visual autonomous navigation in row-based crops with effective synthetic data generation

Sign Up to like & get
recommendations!
Published in 2024 at "Precision Agriculture"

DOI: 10.1007/s11119-024-10157-6

Abstract: Service robotics is recently enhancing precision agriculture enabling many automated processes based on efficient autonomous navigation solutions. However, data generation and in-field validation campaigns hinder the progress of large-scale autonomous platforms. Simulated environments and deep… read more here.

Keywords: navigation; synthetic data; data generation; autonomous navigation ... See more keywords
Photo by campaign_creators from unsplash

Which is the Better Inpainted Image?Training Data Generation Without Any Manual Operations

Sign Up to like & get
recommendations!
Published in 2018 at "International Journal of Computer Vision"

DOI: 10.1007/s11263-018-1132-0

Abstract: This paper proposes a learning-based quality evaluation framework for inpainted results that does not require any subjectively annotated training data. Image inpainting, which removes and restores unwanted regions in images, is widely acknowledged as a… read more here.

Keywords: data generation; image; training data; better inpainted ... See more keywords
Photo from archive.org

Hi-C analysis: from data generation to integration

Sign Up to like & get
recommendations!
Published in 2018 at "Biophysical Reviews"

DOI: 10.1007/s12551-018-0489-1

Abstract: In the epigenetics field, large-scale functional genomics datasets of ever-increasing size and complexity have been produced using experimental techniques based on high-throughput sequencing. In particular, the study of the 3D organization of chromatin has raised… read more here.

Keywords: data generation; complexity; analysis; generation integration ... See more keywords
Photo from wikipedia

Synthetic seismic data generation with deep learning

Sign Up to like & get
recommendations!
Published in 2021 at "Journal of Applied Geophysics"

DOI: 10.1016/j.jappgeo.2021.104347

Abstract: Abstract We study the applicability of deep learning (DL) methods to generate acoustic synthetic data from 1D models of the subsurface. We designed and implemented a Neural Network (NN) and we trained it to generate… read more here.

Keywords: synthetic seismic; generation deep; seismic data; methodology ... See more keywords
Photo from wikipedia

Algorithms of data generation for deep learning and feedback design: A survey

Sign Up to like & get
recommendations!
Published in 2021 at "Physica D: Nonlinear Phenomena"

DOI: 10.1016/j.physd.2021.132955

Abstract: Abstract Recent research reveals that deep learning is an effective way of solving high dimensional Hamilton–Jacobi–Bellman equations. The resulting feedback control law in the form of a neural network is computationally efficient for real-time applications… read more here.

Keywords: feedback design; algorithms data; design; data generation ... See more keywords

A tabular data generation framework guided by downstream tasks optimization

Sign Up to like & get
recommendations!
Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-65777-9

Abstract: Recently, generative models have been gradually emerging into the extended dataset field, showcasing their advantages. However, when it comes to generating tabular data, these models often fail to satisfy the constraints of numerical columns, which… read more here.

Keywords: downstream; tabular data; generation framework; data generation ... See more keywords
Photo by sarahdorweiler from unsplash

Volunteered remote sensing data generation with air passengers as sensors

Sign Up to like & get
recommendations!
Published in 2021 at "International Journal of Digital Earth"

DOI: 10.1080/17538947.2020.1808721

Abstract: ABSTRACT Remote sensing satellites are playing very important roles in diverse earth observation fields. However, long revisit period, high cost and dense cloud cover have been the main limitations of satellite remote sensing for a… read more here.

Keywords: data generation; air passengers; generation air; remote sensing ... See more keywords

Physics-informed assisted data generation and refinement framework for centrifugal pump bearing fault diagnosis under speed fluctuation and sample imbalance

Sign Up to like & get
recommendations!
Published in 2025 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ae18f2

Abstract: Accurately assessing the health state of bearings in aviation fuel centrifugal pumps is crucial for the safe and smooth operation of the aircraft. But in practical operational scenarios, the issue of sample imbalance poses a… read more here.

Keywords: diagnosis; fault; data generation; sample imbalance ... See more keywords

Conditional Tabular GAN-Based Two-Stage Data Generation Scheme for Short-Term Load Forecasting

Sign Up to like & get
recommendations!
Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3037063

Abstract: Load forecasting is one of the critical tasks for enhancing the energy efficiency of smart grids. Even though recent deep learning-based load forecasting models have shown excellent forecasting performance, one of the common problems they… read more here.

Keywords: scheme; load forecasting; load; stage ... See more keywords

Automated Software Test Data Generation With Generative Adversarial Networks

Sign Up to like & get
recommendations!
Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3153347

Abstract: With the rapid increase of software scale and complexity, the cost of traditional software testing methods will increase faster than the scale of software. In order to improve test efficiency, it is particularly important to… read more here.

Keywords: software; data generation; test; generative adversarial ... See more keywords