A Novel AI-Powered Data Augmentation Technique for Improving Model Robustness
Abstract
Data augmentation is a critical technique for enhancing machine learning model performance, particularly in low-data scenarios. This paper introduces a novel AI-driven data augmentation method that leverages generative adversarial networks (GANs) and reinforcement learning to create high-quality synthetic data. We compare our approach against traditional augmentation techniques, such as random transformations and SMOTE, across multiple domains, including image classification, speech recognition, and time-series forecasting. Results show that our method significantly enhances model robustness while preserving data integrity.
References
Krishna Madhav, J., Varun, B., Niharika, K., Srinivasa Rao, M., & Laxmana Murthy, K. (2023). Optimising Sales Forecasts in ERP Systems Using Machine Learning and Predictive Analytics. J Contemp Edu Theo Artific Intel: JCETAI-104.
Jha, K. M., Velaga, V., Routhu, K., Sadaram, G., Boppana, S. B., & Katnapally, N. (2025). Transforming Supply Chain Performance Based on Electronic Data Interchange (EDI) Integration: A Detailed Analysis. European Journal of Applied Science, Engineering and Technology, 3(2), 25-40.
Jha, K. M., Velaga, V., Routhu, K. K., Sadaram, G., & Boppana, S. B. (2025). Evaluating the Effectiveness of Machine Learning for Heart Disease Prediction in Healthcare Sector. J Cardiobiol, 9(1), 1.
KishanKumar Routhu, A. D. P. Risk Management in Enterprise Merger and Acquisition (M&A): A Review of Approaches and Best Practices.
Bodepudi, V. (2023). Understanding the Fundamentals of Digital Transformation in Financial Services: Drivers and Strategic Insights. Journal of Artificial Intelligence and Big Data, 3(1), 10-31586.
Jha, K. M., Bodepudi, V., Boppana, S. B., Katnapally, N., Maka, S. R., & Sakuru, M. Deep Learning-Enabled Big Data Analytics for Cybersecurity Threat Detection in ERP Ecosystems.
Boppana, S. B., Moore, C. S., Bodepudi, V., Jha, K. M., Maka, S. R., & Sadaram, G. AI And ML Applications In Big Data Analytics: Transforming ERP Security Models For Modern Enterprises.
