How to Save CNN Trained Model and Use It for Testing

Evaluating Reinforcement learning for Error Detection in Model-Based Testing

Abstract: Software testing ensures systems meet requirements and identifies defects while minimizing manual effort, reducing costs, and enhancing automation. Model-Based Testing (MBT) leverages ...

IEEE

Rolling Bearing Fault Diagnosis Based on VMD-CNN-SLSTM Model

Abstract: Convolutional neural networks (CNN) are limited by the local receptive field, making it difficult to capture the shock features of the cross period. In view of this limitation, a ...

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Evaluating Reinforcement learning for Error Detection in Model-Based Testing

Rolling Bearing Fault Diagnosis Based on VMD-CNN-SLSTM Model

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