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Guo Li, Junbo Liu, Liu Yang, Huimin Zhou and Shuiting Ding
The probabilistic damage tolerance analysis of aeroengine rotor disks is essential for determining if the disk is safe. To calculate the probability of failure, the numerical integration method is efficient if the integral formula of the probability dens...
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Konstantinos Ntafloukas, Liliana Pasquale, Beatriz Martinez-Pastor and Daniel P. McCrum
Transportation networks are fundamental to the efficient and safe functioning of modern societies. In the past, physical and cyber space were treated as isolated environments, resulting in transportation network being considered vulnerable only to threat...
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Aristeidis Karras, Christos Karras, Konstantinos C. Giotopoulos, Dimitrios Tsolis, Konstantinos Oikonomou and Spyros Sioutas
Federated learning (FL) has emerged as a promising technique for preserving user privacy and ensuring data security in distributed machine learning contexts, particularly in edge intelligence and edge caching applications. Recognizing the prevalent chall...
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Aliaksei Pilko, Mario Ferraro and James Scanlan
Integration of Uncrewed Aircraft into unsegregated airspace requires robust and objective risk assessment in order to prevent exposure of existing airspace users to additional risk. A probabilistic Mid-Air Collision risk model is developed based on surve...
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Ashraf Jaradat, Fadi Safieddine, Aziz Deraman, Omar Ali, Ahmad Al-Ahmad and Yehia Ibrahim Alzoubi
Real-world data obtained from integrating heterogeneous data sources are often multi-valued, uncertain, imprecise, error-prone, outdated, and have different degrees of accuracy and correctness. It is critical to resolve data uncertainty and conflicts to ...
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Guo Li, Junbo Liu, Huimin Zhou, Liangliang Zuo and Shuiting Ding
Numerical integration methods have the characteristics of high efficiency and precision, making them attractive for aero-engine probabilistic risk assessment and design optimization of an inspection plan. One factor that makes the numerical integration m...
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Aikaterini P. Kyprioti, Alexandros A. Taflanidis, Norberto C. Nadal-Caraballo, Madison C. Yawn and Luke A. Aucoin
Surrogate models, also referenced as metamodels, have emerged as attractive data-driven, predictive models for storm surge estimation. They are calibrated based on an existing database of synthetic storm simulations and can provide fast-to-compute approx...
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N.E. Kasatkin,T.A. Prikhodko
Pág. 78 - 85
The article discusses one of the problems of multi-agent systems, namely the integration of obstacle grid maps created by various robots exploring different parts of the same environment. Simultaneous localization and Mapping (SLAM) is a well-known field...
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Hanen Mhamdi, Jérémie Bourdon, Abdelhalim Larhlimi and Mourad Elloumi
The integration of high-throughput data to build predictive computational models of cellular metabolism is a major challenge of systems biology. These models are needed to predict cellular responses to genetic and environmental perturbations. Typically, ...
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Chao Ji, Cynthia Juyne Beegle-Krause and James D. Englehardt
Submerged oil, oil in the water column (neither at the surface nor on the bottom), was found in the form of oil droplet layers in the mid depths between 900?1300 m in the Gulf of Mexico during and following the Deepwater Horizon oil spill. The subsurface...
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