… CNN performance can be increased after finding the best values of these parameters [42].
In this study, we use a CNN model with multiple filters of various sizes to extract variable-…

… analysis, language modeling, and machine translation can significantly enhance the … neural
language model based on word2vec to obtained vector-based representation for sentences, …

… using two convolution neural networks (CNNs) based on websites … model based on character
features only and the URLNet … of our model decreased as the batch size increased and our …

… -based deep neural network model to the best of our knowledge. … network model based on
ASTs. As depicted in Fig. 1, ACS-TNN … deep learning models will obtain better generalization. …

… model privacy. Without knowledge of parameters, we can retrain the neural network models
based on the network … can be significantly improved with the extracted network architectures. …

… The results show that our SOM-CNN model yields better accuracy than the best performing
… The results show that the model based on GloVe-300 embedding achieves the best …

… Convolutional neural network CNN has achieved good … that the model proposed in this paper
can achieve better results… matching model based on attention-Bi-LSTM-CNN network. The …

… Firstly, we apply a preprocessor to enhance the data … -based deep model using two-channel
CNN and Bi-RNN sentiment analysis (ACR-SA) to solve the existing issues. The model …

… and affective knowledge in the model, this paper proposes a convolutional neural network
model based on the fusion of text … complexity are also improved. In this paper, a typical …

… The prediction accuracy of the network security situation is greatly improved. Salman 17 … In
the malicious traffic detection model based on the hierarchical attention mechanism proposed …