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pro vyhledávání: '"learning techniques"'
Autor:
Becher, Tobias, Torka, Simon
Traditional rule-based cybersecurity systems have proven highly effective against known malware threats. However, they face challenges in detecting novel threats. To address this issue, emerging cybersecurity systems are incorporating AI techniques,
Externí odkaz:
http://arxiv.org/abs/2412.12648
Unmanned Surface Vehicles (USVs) have emerged as a major platform in maritime operations, capable of supporting a wide range of applications. USVs can help reduce labor costs, increase safety, save energy, and allow for difficult unmanned tasks in ha
Externí odkaz:
http://arxiv.org/abs/2412.01461
Defiltering turbulent flow fields for Lagrangian particle tracking using machine learning techniques
Autor:
Oura, Tomoya, Fukagata, Koji
We propose a defiltering method of turbulent flow fields for Lagrangian particle tracking using machine learning techniques. Numerical simulation of Lagrangian particle tracking is commonly used in various fields. In general, practical applications r
Externí odkaz:
http://arxiv.org/abs/2411.04384
Autor:
Xie, Wen1 (AUTHOR), Lee, Mi Hyun2 (AUTHOR) mihyun.lee@northwestern.edu, Chen, Ming3 (AUTHOR), Han, Zhu1 (AUTHOR)
Publikováno v:
Journal of Advertising. Jun/Jul2024, Vol. 53 Issue 3, p397-415. 19p.