… The increased prevalence of fake news is a worrying … Network (CNN) is a sub-class of deep
neural networks. It is … enables us to compare several models depending on the value of the …

… the model based on the extracted features, the model … models based on source-based
features achieved better performance. Compared with using the CNN as the classification model…

… better password cracking: the first was changing the convolutional neural network (CNN)-based
improved Wasserstein GAN (IWGAN) cost function to an RNN-based cost function; the …

… This paper proposes an end-to-end document image watermarking scheme using the deep
neural network. Specifically, an encoder and a decoder are designed to embed and extract …

… Bengali language has increased enormously on online … model based on developed corpus
and developing a new technique to identifying optimizing parameters for embedding model …

… on the above, this work dedicates to figure out which techniques suit better for the sentiment
… -effective model is a Phrase Structure and Attention-based Deep network model (PhraSAD). …

… new text steganalysis model based on convolutional sliding … extensive applications of deep
neural network technology in … performance of each model has improved with the increase of …

… Moreover, our CNN model showed better performance than the baseline machine … phrase-level.
Tang et al. [63] have created a model based on LSTM and CNN to produce the sentence …

… TextCNN (Text Convolutional Neural Networks) to learn local … security is greatly enhanced,
and the risk of fraud is reduced. … used as the classification model based on the composited …

… loss, our model provides a better similarity distance measure … by further training the
Convolutional Neural Network (CNN) … we propose a new neural network model based on one-shot …