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A company wants to start building a machine learning model for predictive maintenance purposes. The plan is to detect if a machine will fail up to 2 hours before failing in order to repair it immediately without further damages for the machine or the production line. They decided to collect their own dataset from various sensors. The data collected resembled measurements such as “Temperature”, “Pressure” and “Frequency” and a target label stating whether the machine will fail. A machine learning model should be constructed where given sensor measurements at ten timestamps, the model should predict whether the machine will fail. Which neural network architecture should be adopted?