Machine Learning and 5G Network in an Online Education WSN using AI Technology

Abstract

The technology effect is growing by the day. Artificial Intelligence, Machine Learning, Deep Learning, and Big Data are employed to acquire enough application feasibility to alleviate human labour strain. The manner in which the information society is developing in this globe. The impact will cause certain modifications in the educational system's evolution. This study focuses on how to improve remote music education in the presence of a 5G network. In this scenario, network speed is regarded as having one of the most significant effects on students taking online classes. As a result, a 5G network may be the greatest option for expanding network speed and providing a strong impetus. To train the intelligent system to deliver remote music education via wireless 5G networks, the suggested system employs the Convolutional Neural Network (CNN) technique. Compline, uncertainty, unverified, and out-of-place are the characteristics used to compare the proposed system to the existing system. The suggested method outperformed the old system in terms of total accuracy, achieving 99.13 percent.