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#process-monitoring

Generative Bayesian Filtering for State Estimation

arXiv cs.LG · 2026-07-24 Cached

Proposes Generative Bayesian Filtering (GBF), a framework that replaces restrictive observation models with pretrained conditional generative models for state estimation, improving accuracy and robustness in synthetic and real-world applications.

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Product-Aware Deep Autoencoders for Robust Process Monitoring in Multi-Product Cyber-Physical Systems

arXiv cs.AI · 2026-06-02 Cached

This paper presents a Product-Aware Autoencoder for robust anomaly detection in multi-product cyber-physical systems, addressing the blind spot of global models. It demonstrates improved detection accuracy over baseline in stress tests.

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pranshuparmar/witr

GitHub Trending (daily) · 2026-05-16 Cached

witr is a CLI tool that traces the causality of running processes, services, and ports, explaining why they are running in a single, human-readable output or interactive TUI dashboard.

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