IMAGE-BASED ROADWAY ASSESSMENT WITH CONVOLUTIONAL NEURAL NETWORKS

Section: Articles Published Date: 2021-05-15 Pages: 01-11 Views: 119 Downloads: 48

Authors

  • Abhishek Kumar University Department of COMPUTER SCIENCE, B.R.A. Bihar University, Muzaffarpur, India
PDF
volume 04 issue 05

Abstract

This shortfall, alternatively, arises, in a large part, through inefficiencies that may be inherent in traditional fixed spectrum management regulations. This is due to the fact that studies have confirmed that the lack of spectrum is fake. Improvements in cell communication over the past three decades have been accompanied by a huge increase in demand for bi-directional cellular communication services everywhere in the world. As of 2011, there are over four billion cellular subscribers internationally, million radio base station locations. Mobile and broadband visitor volumes continue to grow, requiring additional investments in network capacity, new spectrum for brand spanking, and requirements for advanced air interfaces that allow for accelerated energy and can provide spectral efficiency. In percentage terms, the amount of electricity or spectrum used and associated fees regularly climbs grows which is carried over the network.

Keywords

Image-Based, Roadway, Networks, communication, cellular subscribers