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This volume discusses and analyzes the various effective practical applications of cyber-physical systems, which involves the integration of the physical process with embedded computation, controller, and network monitoring along with the feedback loop from physical systems.

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Deep learning includes a subset of machine learning for processing the unsupervised data with artificial neural network functions. The major advantage of deep learning is to process big data analytics for better analysis and self-adaptive algorithms to handle more data. When applied to engineering, deep learning can have a great impact on the decision-making process. Deep Learning Applications and Intelligent Decision Making in Engineering is ...