Latest Articles for Synthetic Data

A new approach enhances the quality of synthetic data by balancing coherence and diversity.

Synthetic data generation enhances privacy while enabling valuable data analysis.

VALERIE22 dataset aids in developing safe automated driving through synthetic city images.

Generative models like ChatGPT are reshaping educational research, especially in physics.

A method for identifying changes in images taken from different viewpoints.

New method improves privacy while enabling better use of healthcare data.

Using Federated Learning to improve PCOS treatment while ensuring patient privacy.

Examining how census data methods affect school planning accuracy.

This study explores how ChatGPT can improve open intent detection.

Automation in testing ensures quality cancer data management and patient privacy.

SynthDistill framework uses synthetic data for efficient face recognition on smaller devices.

Generative AI is transforming medical imaging with new data generation techniques.

A two-phase algorithm enhances modeling of hub nodes in complex datasets.

A new system aims to improve safety by detecting and tracking shooters in real time.

This paper examines improvements in machine translation for mixed-language sentences.

phi-1.5 shows that smaller models can perform well with quality data.

New methods leverage synthetic data to improve cranial implant creation.

LEyes simplifies the creation of synthetic eye images for improved tracking accuracy.

New methods improve efficiency and accuracy in automated logistics.

A new approach to identify peak-pattern anomalies in watershed monitoring.

This work discusses synthetic data generation using differential privacy for economic studies.

A new framework ensures synthetic data answers are trustworthy for research.

A novel approach helps understand how living things interact over time.

A new hybrid system enhances crack detection in concrete structures using synthetic data.

Study reveals potential of synthetic data in enhancing heart image segmentation.

AFMfit offers advanced methods for real-time analysis of biomolecules.

Introducing PFL-GAN: a tailored solution for client variability in federated learning.

HEROES provides realistic training for responders and robots in urban emergencies.

Synthetic data aids in predicting COVID-19 risks among Veterans while ensuring privacy.

Using language models to improve identification of Alzheimer's signs in clinical records.

This article discusses how developers can use PETs to enhance data protection.

Robots enhance their skills in managing everyday clothing tasks.

Exploring the role of foundation models in improving healthcare outcomes.

New methods enhance understanding of cell types in tissue samples.

Synthetic data generation improves machine learning for atomic-level material analysis.

This study evaluates fitting methods for understanding high-redshift galaxies using synthetic data.

A new method improves data clustering by considering complex relationships.

Addressing privacy concerns with synthetic clinical notes in healthcare research.

A framework aimed at improving skill matching through realistic synthetic job postings.

TimEHR generates realistic synthetic time series data from electronic health records to aid research.