However, existing convolutional neural network (CNN) architectures face challenges in capturing temporal dependencies, hindering their performance in mobile network design. The introduction highlights the increasing importance of mobile networks and identifies the limitations of current CNN archi...
Deep Pyramid Convolutional Neural Network Integrated with Self-attention Mechanism and Highway Network for Text Classification Text classification is one of the basic tasks of natural language processing. In recent years, deep learning has been widely used in text classification tasks. The representative...
Abstract: Aiming at the wind power prediction problem, a wind power probability prediction method based on the quantile regression of a dilated causal convolutional neural network is proposed. With the developed model, the Adam stochastic gradient descent technique is utilized to solve the cavity param...
In this work, a spatiotemporal causal convolutional neural network (ST-CausalConvNet) for short-term PM2.5 prediction is proposed. The distinguishing characteristics of the proposed model is that the convolutions in the model architecture are causal, where an output at a certain time step is ...
Wu et al. [21] proposed a binarized convolutional neural network for the classification of atrial fibrillation signals, with an F1 score of 0.87 on the test set. [22] uses the shallow convolutional neural network and long short-term memory (LSTM) network. The addition of LSTM improves the ...
CNN Convolutional neural network IIoT Industrial internet of things IDS Intrusion detection system FCTCNN Focal causal temporal convolutional neural network DoS Denial of services DDoS Distributed denial of services NIDS Network-based intrusion detection system ROC Receiver operating characteristic MitM Man in...
CNN Convolutional Neural Network DEF-CNN Deep Fully Convolutional Neural Network CNN-LSTM Multiscale CNN and LSTM GRU-HA Gate Recurrent Unit and Hybrid Autoencoder DA-AE Deep Wavelet Autoencoder References Peng, Y.; Liu, D.; Peng, X. A Review: Prognostics and Health Management. J. Electron....
Time series prediction using dilated causal convolutional neural nets In this paper, state of the art deep learning techniques for time series forecasting were surveyed and a dilated causal convolutional neural network was developed (i.e. SeriesNet) based on the WaveNet architecture to forecast time...
作者的实验基于一个假设:The features computed by the final layers of a convolutional neural network (CNN) [14, 21, 8] often indicate the presence of a well localized object-like feature in the scene depicted by the image under study. 就是全连接层之前的每一个feature都与图像中的对象有关联。
& Roy, K. Tree-CNN: a hierarchical deep convolutional neural network for incremental learning. Neural Netw. 121, 148–160 (2020). Article Google Scholar Kim, J., Kim, B., Roy, P. P. & Jeong, D. Efficient facial expression recognition algorithm based on hierarchical deep neural network...