Performance Estimation in V2X Network

Bagmita Kashyap, H. Srikanth Kamath

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

5G networks have developed to be a new technology which is helping telecom networks advance faster. Further-more,as compared to earlier networks, 5G networks improve performance of the network while bringing down network complexity.Deep learning is a method for detecting anomalies in wireless networks, doing predictive analytics, predicting lifetime value,and other tasks.Its efficiency of training examples determines its performance [1]. Deep Learning is built to operate with massive datasets and employs a sophisticated datasets algorithm fo rmodel training. As outliers in the raw data diminish model reliability,the project's goal is to lessen the influence of outliers in these models.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages138-143
Number of pages6
ISBN (Electronic)9781665487160
DOIs
Publication statusPublished - 2022
Event6th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2022 - Shivamogga, India
Duration: 14-10-202215-10-2022

Publication series

Name2022 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2022 - Proceedings

Conference

Conference6th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2022
Country/TerritoryIndia
CityShivamogga
Period14-10-2215-10-22

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Control and Optimization

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