Comparison of the classification accuracies of different algorithms and different feature fusion methods.</p
<p>Comparison of average classification results of different classifiers without using light intensi...
Comparison of accuracy and feature dimension under different methods based on tree.</p
<p>Comparison of the proposed algorithm with the state of the art methods available in literature.</...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
Comparison of classification accuracies of dataset 1 with different classifiers.</p
Comparison of classification accuracies of dataset 2 with different classifiers.</p
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Classification Accuracy of Different Comparative Algorithms on Gas Dataset.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
<p>Comparison of the classification results of original and selected features.</p
Comparison of the classification performance by the proposed network and other methods.</p
Performance comparison of different feature selection techniques on EN dataset in group AB.</p
Comparison of accuracy of best machine-learners on various feature categories.</p
<p>Comparison of classification rates between the proposed method and other methods.</p
<p>Comparison of average classification results of different classifiers without using light intensi...
Comparison of accuracy and feature dimension under different methods based on tree.</p
<p>Comparison of the proposed algorithm with the state of the art methods available in literature.</...
<p>Comparison of accuracy rate of different features extracted with classification algorithms.</p
<p>Comparison of the average classification accuracies of different algorithms for different numbers...
Comparison of classification accuracies of dataset 1 with different classifiers.</p
Comparison of classification accuracies of dataset 2 with different classifiers.</p
Comparison of performance obtained by our approach with other state-of-the-art algorithms.</p
<p>Classification Accuracy of Different Comparative Algorithms on Gas Dataset.</p
<p>Comparison of the average precision rates, recall rates and F1 values for the different classific...
<p>Comparison of the classification results of original and selected features.</p
Comparison of the classification performance by the proposed network and other methods.</p
Performance comparison of different feature selection techniques on EN dataset in group AB.</p
Comparison of accuracy of best machine-learners on various feature categories.</p
<p>Comparison of classification rates between the proposed method and other methods.</p
<p>Comparison of average classification results of different classifiers without using light intensi...
Comparison of accuracy and feature dimension under different methods based on tree.</p
<p>Comparison of the proposed algorithm with the state of the art methods available in literature.</...
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