Titlebook: Advances in Artificial Intelligence and Security; 7th International Co Xingming Sun,Xiaorui Zhang,Elisa Bertino Conference proceedings 2021

Wilson

书目名称Advances in Artificial Intelligence and Security影响因子(影响力)




书目名称Advances in Artificial Intelligence and Security影响因子(影响力)学科排名




书目名称Advances in Artificial Intelligence and Security网络公开度




书目名称Advances in Artificial Intelligence and Security网络公开度学科排名




书目名称Advances in Artificial Intelligence and Security被引频次




书目名称Advances in Artificial Intelligence and Security被引频次学科排名




书目名称Advances in Artificial Intelligence and Security年度引用




书目名称Advances in Artificial Intelligence and Security年度引用学科排名




书目名称Advances in Artificial Intelligence and Security读者反馈




书目名称Advances in Artificial Intelligence and Security读者反馈学科排名

Ventilator

GLUT

Conference proceedings 2021lume proceedings was carefully reviewed and selected from 1013 submissions. The papers were organized in topical sections as follows:.Part I: artificial intelligence;.Part II: artificial intelligence; big data; cloud computing and security; .Part III: cloud computing and security; encryption and cybersecurity; information hiding; IoT security. .

整理

travail

Conference proceedings 2021ce and Security, ICAIS 2021, which was held in Dublin, Ireland, in July 2021. .The total of 131 full papers and 52 short papers presented in this 3-volume proceedings was carefully reviewed and selected from 1013 submissions. The papers were organized in topical sections as follows:.Part I: artifici

Excise

1865-0929 : artificial intelligence;.Part II: artificial intelligence; big data; cloud computing and security; .Part III: cloud computing and security; encryption and cybersecurity; information hiding; IoT security. .978-3-030-78620-5978-3-030-78621-2Series ISSN 1865-0929 Series E-ISSN 1865-0937

Hangar

山间窄路

stressors

Philippa D. Darbre,Roger J. B. King article uses the LLVM compilation platform to convert the OpenMP source code into LLVM intermediate code (IR) through Clang, statically and dynamically analyzes the IR, and then obtains the OpenMP performance model to predict the OpenMP execution time and optimal execution time. Based on the modeli

RAG

https://doi.org/10.1007/978-981-19-0197-3m memory artificial neural network proposed in this paper. The results show that the prediction model based on CNN+LSTM is compared with only LSTM algorithm or only classification algorithm. It can improve prediction accuracy, reduce model training time, and is easier to apply in the actual work of