PVS-GEN: Systematic Approach for Universal Synthetic Data Generation Involving Parameterization, Verification, and Segmentation

PVS-GEN: Systematic Approach for Universal Synthetic Data Generation Involving Parameterization, Verification, and Segmentation

Synthetic data generation addresses the challenges of obtaining extensive empirical datasets, offering benefits such as cost-effectiveness, time efficiency, and robust model development. Nonetheless, synthetic data-generation methodologies still encounter significant difficulties, including a lack o...

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Bibliographic Details
Main Authors: Kyung-Min Kim, Jong Wook Kwak
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Sensors
Subjects:
time-series sensor data
synthetic data generation
time-series synthesis
IoT data generation
possibility of reproducibility
Online Access:https://www.mdpi.com/1424-8220/24/1/266

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