LAUSR

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

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0 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

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

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1 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

Hi-C analysis: from data generation to integration

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0 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

Synthetic seismic data generation with deep learning

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0 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

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

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1 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

Volunteered remote sensing data generation with air passengers as sensors

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0 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

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

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0 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

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1 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

Evaluation of Synthetic Data Generation Techniques in the Domain of Anonymous Traffic Classification

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1 Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3228507

Abstract: Anonymous network traffic is more pervasive than ever due to the accessibility of services such as virtual private networks (VPN) and The Onion Router (Tor). To address the need to identify and classify this traffic,… read more here.

Keywords: network; synthetic data; data generation; traffic ... See more keywords

Visual-Tactile Cross-Modal Data Generation Using Residue-Fusion GAN With Feature-Matching and Perceptual Losses

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1 Published in 2021 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2021.3095925

Abstract: Existing psychophysical studies have revealed that the cross-modal visual-tactile perception is common for humans performing daily activities. However, it is still challenging to build the algorithmic mapping from one modality space to another, namely the… read more here.

Keywords: data generation; visual tactile; cross modal; cross ... See more keywords

Image Translation Based Synthetic Data Generation for Industrial Object Detection and Pose Estimation

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1 Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3180403

Abstract: Deep learning-based methods have shown excellent potential on object detection and pose estimation with vast amounts of training data to achieve good performance. Obtaining enough comprehensive manual labeling training data is a time-consuming and error-prone… read more here.

Keywords: image translation; data generation; synthetic data; image ... See more keywords