
This study presents a robust and computationally efficient framework for big data analytics using thermal imaging data of a ship's engine. The framework combines Robust Principal Component Analysis (RPCA) for data cleaning, Optimal Sensor Placement (OSP) for data compression, and Long Short-Term Memory (LSTM) networks for predictive modeling.


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robust-and-efficient-big-data-analytics-using-thermal-imaging-and-machine-learning


Robust and Efficient Big Data Analytics Using Thermal Imaging and Machine Learning
