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Hidden Markov is a partially observable statistical Markov model where the agent partially observes the states. These models involve “hidden” generative processes with “noisy” observations correlated to the system [28]. The Hidden Markov model-based schemes allow the system or device to accompany the processing latency, power usage, and diagnostics accuracy.