Synthetic Data Projects for M.E, M.Tech, Masters, MS abroad, and PhD students. These Synthetic Data ieee projects are implemented with future work and extension for final year project submission with research paper publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.
Latest Synthetic Data Projects
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Introducing SPINE: A Holistic Approach to Synthetic Pulmonary Imaging Evaluation Through End-to-End Data and Model Management
This project focuses on creating and testing artificial chest X-ray images to help doctors diagnose lung diseases. The team developed a method called SPINE to check if these synthetic images are accurate and useful. They compare the fake images with real ones using expert reviews, data analysis, and computer tests. The goal is to make safe and reliable synthetic medical images for research and clinical use. -
A Methodology and an Empirical Analysis to Determine the Most Suitable Synthetic Data Generator
This project studies how artificial intelligence can create fake data that looks and behaves like real data. The goal is to find which data generator makes the most realistic and fair datasets while keeping information private. Researchers tested several data generation tools and compared their results on many datasets. They found that CTGAN and PATECTGAN worked best for producing high-quality synthetic data.
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