Titlebook: Computer Safety, Reliability, and Security; 40th International C Ibrahim Habli,Mark Sujan,Friedemann Bitsch Conference proceedings 2021 Spr

Halloween

书目名称Computer Safety, Reliability, and Security影响因子(影响力)




书目名称Computer Safety, Reliability, and Security影响因子(影响力)学科排名




书目名称Computer Safety, Reliability, and Security网络公开度




书目名称Computer Safety, Reliability, and Security网络公开度学科排名




书目名称Computer Safety, Reliability, and Security被引频次




书目名称Computer Safety, Reliability, and Security被引频次学科排名




书目名称Computer Safety, Reliability, and Security年度引用




书目名称Computer Safety, Reliability, and Security年度引用学科排名




书目名称Computer Safety, Reliability, and Security读者反馈




书目名称Computer Safety, Reliability, and Security读者反馈学科排名

Opponent

https://doi.org/10.1007/978-94-011-6361-3l/command or navigation systems. Recently, as an example, many research papers have focused on the ACAS Xu LUT compression. In this work, we explore how to make such a compression while preserving the system safety and offering adequate means of certification.

是突袭

https://doi.org/10.1007/978-3-030-83903-1artificial intelligence; computer hardware; computer networks; computer programming; computer science; co

厚颜

978-3-030-83902-4Springer Nature Switzerland AG 2021

记忆法

Mortar

https://doi.org/10.1007/978-94-011-6361-3d changes in image contrast. While the robustness of DNN classifiers has been the subject of intense research in recent years, the solutions delivered by this research focus on verifying DNN robustness to small perturbations in the images being classified, with perturbation magnitude measured using

Mortar

The Beecham Manual for Family Practiceritical systems. However, current AI-based models are data-driven, so we cannot assure that they will provide the intended outcome for any input. To obtain information about the uncertainty remaining in their outcome, uncertainty estimation capabilities can be integrated during model building. Howev

IDEAS

典型

calamity