基于梯度优化的集合随机森林节能视频处理系统，用于智能交通监控系统

IF 1.3 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

IETE Journal of Research Pub Date : 2024-06-26 DOI:10.1080/03772063.2024.2350927

S. Rajagopal, M. Uma Devi, G. Maria Jones, M. Gomathy Nayagam

引用次数: 0

摘要

大数据应用中的深度学习解决方案可以使云中心受益，同时也会带来网络通信开销。通常情况下，从流量中收集到的数据会被发送到流量管理器。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Ensemble Random Forest-based Gradient Optimization based Energy Efficient Video Processing System for Smart Traffic Surveillance System

Deep learning solutions in big data applications can benefit cloud centres and can also lead to network communication overhead. Typically, data collected from traffic are sent to the traffic manage...

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来源期刊

IETE Journal of Research 工程技术-电信学

CiteScore

3.30

自引率

6.70%

发文量

308

期刊介绍： IETE Journal of Research is a Bimonthly journal published by the Institution of Electronics and Telecommunication Engineers (IETE), India. It publishes scientific and technical papers describing original research work or novel product/process development. Occasionally special issues are brought out on new and emerging research areas. IETE Journal of Research is useful to researchers, engineers, scientists, teachers, managers and students who are interested in keeping a track of original research and development work being carried out in the broad area of electronics, telecommunications, computer science and engineering and information technology.