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The RFCNN network's recognition performance was evaluated through comparative experiments, utilizing different recognition network models and varying synthetic sample sets. The RFCNN model's average recognition rate is 90.641% under conditions where synthetic samples are not present in each working situation. A substantial increase in the generation of synthetic samples results in an improved recognition rate for coal and rock cutting states. Wit
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