YOLOv7 network structure composition diagram. حسب Ting Wang (16292)

الموضوعات: "…artificial intelligence algorithm…"

Comparison of different models on public datasets. حسب Ting Wang (16292)

الموضوعات: "…artificial intelligence algorithm…"

Schematic diagram of the structure components of CBAM. حسب Ting Wang (16292)

الموضوعات: "…artificial intelligence algorithm…"

Comparison of scene extraction capabilities of different models. حسب Ting Wang (16292)

الموضوعات: "…artificial intelligence algorithm…"

Results of association accuracy and detection accuracy of different models. حسب Ting Wang (16292)

الموضوعات: "…artificial intelligence algorithm…"

Complexity comparison of different models. حسب Li Yuan (102305)

"…However, there are problems such as complex types of signals, huge amount of data and noise interference, and the recognition accuracy of existing modulation classification methods is low. Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …"

Flow of operation of improved KMA. حسب Li Yuan (102305)

"…However, there are problems such as complex types of signals, huge amount of data and noise interference, and the recognition accuracy of existing modulation classification methods is low. Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …"

Improved DAE based on LSTM. حسب Li Yuan (102305)

"…However, there are problems such as complex types of signals, huge amount of data and noise interference, and the recognition accuracy of existing modulation classification methods is low. Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …"

Autoencoder structure. حسب Li Yuan (102305)

"…However, there are problems such as complex types of signals, huge amount of data and noise interference, and the recognition accuracy of existing modulation classification methods is low. Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. …"

Overall accuracy and macro F1 scores using 3 methods of evaluating predicted labels with the siamese network along with the two comparison methods that were implemented in prior at... حسب Eric Yang (243148)

الموضوعات:

There is a strong dependency with respect to the amount of training data for a specific class with the overall accuracy of the classifier. حسب Eric Yang (243148)

الموضوعات:

A sample of the data that is used as features for the Siamese network. حسب Eric Yang (243148)

الموضوعات:

The overall network architecture of the Siamese network utilized in this manuscript. حسب Eric Yang (243148)

الموضوعات:

The embedding of the different classes as generated by the Siamese network. حسب Eric Yang (243148)

الموضوعات:

Error rates for the XGBoost classifier trained with hand-crafted features. حسب Arta Misini (19929042)

الموضوعات:

The correctly and incorrectly predicted instances for each author—The performance of the XGBoost classifier (TF-IDF features). حسب Arta Misini (19929042)

الموضوعات:

The relationship between feature set selection and the model’s performance across literary and column contexts (hand-crafted features). حسب Arta Misini (19929042)

الموضوعات:

The correctly and incorrectly predicted instances for each author—The performance of the XGBoost classifier (hand-crafted features). حسب Arta Misini (19929042)

الموضوعات:

Error rates for the XGBoost classifier trained with TF-IDF features. حسب Arta Misini (19929042)

الموضوعات:

The relationship between feature set selection and the model’s performance across literary and column contexts (TF-IDF features). حسب Arta Misini (19929042)

الموضوعات: