Titlebook: Machine Learning for Cyber Security; Third International Xiaofeng Chen,Hongyang Yan,Xiangliang Zhang Conference proceedings 2020 Springer

和善

書目名稱Machine Learning for Cyber Security影響因子(影響力)




書目名稱Machine Learning for Cyber Security影響因子(影響力)學(xué)科排名




書目名稱Machine Learning for Cyber Security網(wǎng)絡(luò)公開度




書目名稱Machine Learning for Cyber Security網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Machine Learning for Cyber Security被引頻次




書目名稱Machine Learning for Cyber Security被引頻次學(xué)科排名




書目名稱Machine Learning for Cyber Security年度引用




書目名稱Machine Learning for Cyber Security年度引用學(xué)科排名




書目名稱Machine Learning for Cyber Security讀者反饋




書目名稱Machine Learning for Cyber Security讀者反饋學(xué)科排名

分發(fā)

Incompetent

Bouquet

澄清

無目標(biāo)

Conference proceedings 2020in Xi’an, China in October 2020..The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning,? Malwar

RECUR

Decline

沒有準(zhǔn)備

A Comparative Study on Key Technologies of Ultra-Reliable Low Latency Communication,formance indicators, this paper discusses the key technologies of reducing URLLC’s delay and increasing its reliability, and proposes the design objectives of URLLC, as well as the key technologies of solving the delay and increasing URLLC’s reliability at design time, which provides a reference for designers and peers.

ectropion