Data gathering is the fundamental task of Wireless Sensor Networks (WSNs). Making a balance
between the energy consumption of sensors and the data gathering delay is considered …

… networks Increasingly dense and flexible wireless networks require the use of artificial
intelligence (AI) for planning network deployment, optimization, and dynamic control. …

… A blend of edge computing and Artificial Intelligence (AI) techniques could optimally shift the
… techniques and wireless communications from AI-assisted wireless networks and wireless …

… ’s noise level in a MIMO-aided wireless network having t transmit antennas and r receive …
the benefits of artificial intelligence aided wireless systems equipped with machine learning. …

… Recently, artificial intelligence (AI) … machine learning (ML) has extended to wireless networks
that are constantly evolving. This enables better operation and management of networks, …

GHYZXGIZ one of the basic problems in Wireless Sensor Networks … scheme, which is an
artificial neural network (ANN) based … A feed3forward artificial neural network with back …

… an artificial intelligence technique can be applied to wireless sensor networks. Due to the
constraints on data processing and power consumption, the use of artificial intelligence has …

… network with deep learning structure is proposed for the first time to predict the future symbols
in the chaos baseband wireless … trained convolutional neural network are used together …

… The need for an intelligent wireless network motivates to endow each network segment
with Artificial Intelligence (AI) capabilities and to employ a data-driven paradigm in which …

… extenders1 and the channel configuration of wireless extenders and access points (APs)
in a Wireless Mesh Network (WMN). Artificial Intelligence (AI) is adopted to support network …