A Deep Neural Sentiment Classification Network (DNSCN) is developed in this work to classify the Twitter data unambiguously. It attempts extract negative and positive sentiments database. The main goal of system find sentiment behavior tweets with minimum ambiguity. well-defined neural network extracts deep features from automatically. Before extracting deeper deeper, text each tweet represente...

Conventional wireless techniques are becoming inadequate for beyond-5G networks due to latency and bandwidth considerations. To improve the error performance of communication systems, we propose physical layer network coding (PNC) in an intelligent reflecting surface (IRS)-assisted environment. We consider IRS-aided butterfly network, where algorithm obtaining optimal IRS phases. Analytic expre...

Intelligent transportation system (ITS) applied in the city traffic is mainly reflected in the microscopic traffic information collection, traffic control and guidance, to improve the efficiency of traffic system. Wireless sensor network has excellent characteristics, and it can provide an effective means for information collection of intelligent transportation system and can monitor the inters...

This paper presents a novel approach to foster network management automation. Our approach is based on the use of intelligent agent technology as a means to provide feedback control of the managed network. The intelligent agents we use are BDI oriented. They are based on beliefs, capabilities, motivations, intentions and goals. Their mental model is first presented, then the way it can be appli...