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Author

Kumar Siddamallappa U

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Open access Jul 2026

Self-healing machine learning system for fault detection using predictive maintenance

The results demonstrate that the proposed approach can keep the random forest classifier’s performance stable by re-training it with new data whenever the performance metric falls below a certain threshold, and can be a viable solution for industrial applications.

A. V, Kumar Siddamallappa U, Shreedevi Prakash Gotur · 0 citations
Jul 2026

Generative Artificial Intelligence for image synthesis using Generative Adversarial Networks (GANs) and variational autoencoders

This research paper presents a comprehensive, end-to-end framework that addresses both generative synthesis and discriminative detection under hardware-constrained (CPU-only) environments, and presents a compact Convolutional Neural Network designed to detect and classify images as real or fake.

Manoj T. S., Kumar Siddamallappa U, Anusha Jajur J · 0 citations

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