A review on emerging artificial intelligence (AI) techniques for air pollution forecasting: Fundamentals, application and performance
Accurate air quality forecasting is critical for systematic pollution control as well as public
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
health and wellness. Most of the traditional forecasting techniques have shown inconsistent …
Intelligent computational techniques in marine oil spill management: A critical review
Effective marine oil spill management (MOSM) is crucial to minimize the catastrophic
impacts of oil spills. MOSM is a complex system affected by various factors, such as …
impacts of oil spills. MOSM is a complex system affected by various factors, such as …
[图书][B] Basics and trends in sensitivity analysis: Theory and practice in R
In many fields, such as environmental risk assessment, agronomic system behavior,
aerospace engineering, and nuclear safety, mathematical models turned into computer code …
aerospace engineering, and nuclear safety, mathematical models turned into computer code …
Impact of reservoir parameters and wellbore permeability uncertainties on CO2 and brine leakage potential at the Shenhua CO2 Storage Site, China
This paper describes a system-level risk assessment for the Shenhua CO 2 storage site,
China, using the National Risk Assessment Partnership Integrated Assessment Model for …
China, using the National Risk Assessment Partnership Integrated Assessment Model for …
Reliability-oriented sensitivity analysis in presence of data-driven epistemic uncertainty
G Sarazin, J Morio, A Lagnoux, M Balesdent… - Reliability Engineering & …, 2021 - Elsevier
Reliability assessment in presence of epistemic uncertainty leads to consider the failure
probability as a quantity depending on the state of knowledge about uncertain input …
probability as a quantity depending on the state of knowledge about uncertain input …
Structural reliability assessment through surrogate based importance sampling with dimension reduction
MM Zuniga, A Murangira, T Perdrizet - Reliability Engineering & System …, 2021 - Elsevier
We present a method for reliability assessment in extreme conditions from a numerical
simulator through surrogate based importance sampling. As proposed in recent works in the …
simulator through surrogate based importance sampling. As proposed in recent works in the …
[HTML][HTML] Epidemics, the Ising-model and percolation theory: a comprehensive review focused on Covid-19
We revisit well-established concepts of epidemiology, the Ising-model, and percolation
theory. Also, we employ a spin S= 1/2 Ising-like model and a (logistic) Fermi–Dirac-like …
theory. Also, we employ a spin S= 1/2 Ising-like model and a (logistic) Fermi–Dirac-like …
Active learning with multifidelity modeling for efficient rare event simulation
While multifidelity modeling provides a cost-effective way to conduct uncertainty
quantification with computationally expensive models, much greater efficiency can be …
quantification with computationally expensive models, much greater efficiency can be …
Developments and applications of Shapley effects to reliability-oriented sensitivity analysis with correlated inputs
Reliability-oriented sensitivity analysis methods have been developed for understanding the
influence of model inputs relative to events which characterize the failure of a system (eg, a …
influence of model inputs relative to events which characterize the failure of a system (eg, a …
Polynomial chaos expansion of random coefficients and the solution of stochastic partial differential equations in the tensor train format
We apply the tensor train (TT) decomposition to construct the tensor product polynomial
chaos expansion (PCE) of a random field, to solve the stochastic elliptic diffusion PDE with …
chaos expansion (PCE) of a random field, to solve the stochastic elliptic diffusion PDE with …