… Due to the complexity and widespread adoption of 5G/6G networks for future critical
applications, we believe that integrating a ZTA framework within the network architecture is crucial …

… and improving a 5G/6G wireless network. In this research work, a hybrid deep learning
method is … improvement in the wireless sensors of 5G/6G IoT networks. This proposed model is …

… requests efficiently, perform load balancing, optimum utilization of resources, and restrict
network slice failure, a hybrid deep learning-based model is proposed in this research work …

… network) according to the operators’ use case (eg, energy saving enabled by deep learning)…
Simulators are, therefore, envisioned to validate the performance of ML methods in 5G/6G …

… networks with machine learning-enabled industrial plants to build a step towards developing
this sixth sense technology, ie… network with sensors and actuators to enable the sixth sense …

… We discuss the primary aims, vision, and trends for 6G network dimensions that include
our vision of 6G and IoT and machine learning applications for autonomous networks and …

… processes the machine learning algorithm to address the global network optimization based
… and computing overhead especially in the 5G/6G large-scaled network. Furthermore, the …

… deep learning has extended the ANN applicability and capabilities with Deep Neural Networks
(DNN… that are applied for unsupervised learning or other ANN structures that are used for …

… of legacy network operation routines. In response, artificial intelligence (AI), especially
machine learning (ML), is emerging as a fundamental solution to realize fully intelligent network …

… network performance, and build new revenue streams. Replacing traditional algorithms with
deep learning … Further, implementation of ML algorithms also enables the wireless network …