AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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NoBOOM is presented, the first collection of datasets for anomaly detection in real-world chemical process data, including labeled data from a running process at BASF SE, one of the world’s leading chemical companies.
This work augments a large, fully annotated experimental dataset for batch distillation with a corresponding simulation dataset, creating a novel hybrid dataset that provides a unique basis for simulation-to-experiment style transfer, the generation of pseudo-experimental data, and future research on deep AD methods in chemical process monitoring.
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