The difference between CNN-LSTM and XGBoost approached but did not reach statistical significance after correction ( p = 0.08), which is consistent with the modest absolute gap between the two models observed in Table 5 .
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A wearable IMU-based framework for daily physical activity recognition and energy expenditure level classification in university students.
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