… They have used a deep learning model based on convolutional neural network (CNN) to …
They have shown that the performance of the deep learning model is better than that of the …

… The presentation layer uses BOW + deep neural network (DNN) to extract … improved methods
based on the Siamese network, proposes a semantic similarity calculation model based on …

… enhance the evaluation indicators, this paper proposes a packet byte-based convolutional
neural network … They developed a model based on CNN that was able to identify specific DoS …

… models based on neural network models have appeared. A neural network may be replaced
with a Markov model … find the research gaps identify in the current study with better solution. …

… Hence, the approaches applied show how to enhance training efficiency, avoid the data
security issues on cloud. This work mainly aspires to enhance the data security at the time of …

… such as feedforward neural networks, convolutional neural networks, and hybrid models. …
show that the disparity is not remarkable but still sufficient to show our model is better. …

… In comparison to other machine learning classifiers, the findings demonstrate that DNN-BiLSTM
and Convolutional Neural Networks can categorize spam with 96.39 % and 98.69 % …

… We use the improved model based on BERT to extract block embedding on CFGs. As shown
in Figure 4, there are four tasks in our pretraining process. For the token sequences inside …

… -level Convolutional Neural Network to extract the … the model based on RNN is relatively
better at capturing the long dependency of a sentence and the adversative relation in a sentence…

… model based on deep learning has also been proposed. Yan et al. [12] used the concepts of
enhanced convolution neural network… of several deep neural network (DNN) models makes …