Ultra-dense network (UDN) deployment of small cells introduces novel technical challenges,one of which is that the interference levels increase considerably wit
Text classification is a classic task innatural language process (NLP).Convolutional neural networks (CNNs) have demonstrated its effectiveness in sentence and
The training efficiency and test accuracy are important factors in judging the scalability of distributed deep learning.In this dissertation,the impact of noise
In the mobile crowd sensing(MCS) network environment,it is very important to establish an evolutionary process that can dynamically depict the trust degree of t