This paper presents an automated temperature monitoring and control system utilizing Arduino, designed to manage temperature-dependent operations efficiently. The system integrates an LM35 temperature ...
Abstract: Equipments regularly change working speeds during real-time production owing to process requirements. Applying deep learning models trained in a single speed domain straightforwardly to ...
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