Multi-agent learning neural network and Bayesian model for real-time IoT skin detectors: a new evaluation and benchmarking methodology

This study aimed to develop a new methodology for evaluating and benchmarking a multi-agent learning neural network and Bayesian model for real-time skin detectors based on Internet of things (IoT) by using multi-criteria decision-making (MCDM). The novelty of this work is in the use of an evaluatio...

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