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1. Optimizing-Production-Profitability-through-Deep-Reinforcement-Learning-Driven-Quality-Prediction Optimizing-Production-Profitability-through-Deep-Reinforcement-Learning-Driven-Quality-Prediction Public

   Reinforcement Learning, specifically Deep Q-Networks, was applied to semiconductor manufacturing data to efficiently identify substandard products, with a model optimized using the F1-Metric achiev…

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2. Transformer-networks-for-univariate-time-series-prediction-in-predictive-process-control Transformer-networks-for-univariate-time-series-prediction-in-predictive-process-control Public

   This study evaluated a transformer network for time series forecasting in process control, finding accurate predictions of process quality, emphasizing the importance of predictive control for cost…

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3. manufacturing-data-stream-simulation-with-Kafka manufacturing-data-stream-simulation-with-Kafka Public

   This GitHub project provides a setup for simulating real-time manufacturing data streams using Apache Kafka. It includes examples and documentation for creating high-throughput, fault-tolerant data…

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4. anomaly-detection-for-additive-manufacturing anomaly-detection-for-additive-manufacturing Public

   Fingerprints of Quality (FPQ) is a cutting-edge project aimed at enhancing the quality control of additive manufacturing processes. The project focuses on developing advanced anomaly detection tech…

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5. i4qpq i4qpq Public

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