… industry in deploying more effective solutions based on artificial intelligence (AI) techniques,
eg, machine learning, bio-inspired algorithms, fuzzy neural network, and so on, because AI …

… Kumar and PK Singh, “Comparison and analysis on artificial intelligence based data
aggregation techniques in wireless sensor networks,” Procedia Computer Science, vol. 132, pp. …

… networks with the artificial neural networks. This … the wireless network design with DL based
state of the art facilities. In this work, we integrate the deep learning and wireless networking …

… We consider the entire wireless network as a single RL-agent, while the reward is calculated
on the network level. Due to multiple extenders in the neighboring environment an action is …

… neural network (NN) and fuzzy logic based data aggregation methods in Wireless Environment.
The main objective of this paper is to analyse the existing work on artificial intelligence (…

… wireless networking standards increasingly rely on machine learning and artificial intelligence
… -established framework for implementing artificial intelligence tasks such as classification, …

… Artificial Intelligence (AI) entity, a Wireless Sensor Networks (WSNs) may be seen as a complex
network … intricately interconnected to enable wireless monitoring of various components …

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 …

… ’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, …