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Table 1.

The creative CNN feature-driven approaches in HAR [9].

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Table 1 Expand

Fig 1.

Proposed ensemble architecture for video classification.

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Fig 2.

Proposed modified AlexNet-3D architecture for video classification.

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Fig 3.

Proposed inceptionv3 GoogleNet architecture for video classification.

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Table 2.

Comparison with state-of-the-art har models.

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Fig 4.

AlexNet confusion matrix.

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Table 3.

The alexnet confusion matrix (validation).

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Table 4.

Validation statistical analysis of the alexnet model.

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Table 5.

Google net (inception v3) confusion matrix (validation).

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Table 6.

Googlenet validation statistical analysis.

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Table 7.

Performance comparison across different evaluation strategies.

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Fig 5.

GoogleNet confusion matrix.

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Fig 6.

Accuracy and loss graph for AlexNet.

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Fig 7.

Accuracy and loss graph for GoogleNet.

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Fig 8.

ROC curves for AlexNet and GoogleNet.

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Table 8.

Validation statistical analysis of the ensemble metrics.

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Fig 9.

Ensemble modeling results.

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