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TECHNOLOGIES AND INTELLIGENT SYSTEMS FOR ADAPTIVE VIBRATION CONTROL IN RAIL TRANSPORT [PDF]

open access: yesTransport Problems, 2022
Vibration diagnostics is of particular importance in rail transport safety systems because the signals received from vibration sensors installed on rolling stock, bridges, tunnels, and other infrastructure objects have great diagnostic information ...
Telman ALIEV   +4 more
doaj   +1 more source

A review of efficient Multilevel Monte Carlo algorithms for derivative pricing and risk management

open access: yesMethodsX, 2023
In this article, we present a review of the recent developments on the topic of Multilevel Monte Carlo (MLMC) algorithms, in the paradigm of applications in financial engineering.
Devang Sinha, Siddhartha P. Chakrabarty
doaj   +1 more source

Adaptive stratified importance sampling: hybridization of extrapolation and importance sampling Monte Carlo methods for estimation of wind turbine extreme loads [PDF]

open access: yesWind Energy Science, 2018
Wind turbine extreme load estimation is especially difficult because turbulent inflow drives nonlinear turbine physics and control strategies; thus there can be huge differences in turbine response to essentially equivalent environmental conditions ...
P. Graf   +4 more
doaj   +1 more source

Uncertainty Quantification of Regional Cardiac Tissue Properties in Arrhythmogenic Cardiomyopathy Using Adaptive Multiple Importance Sampling

open access: yesFrontiers in Physiology, 2021
Introduction: Computational models of the cardiovascular system are widely used to simulate cardiac (dys)function. Personalization of such models for patient-specific simulation of cardiac function remains challenging.
Nick van Osta   +11 more
doaj   +1 more source

Systematic Reliability-Based Multidisciplinary Optimization by Parallel Adaptive Importance Candidate Region

open access: yesAerospace, 2022
Reliability-based design optimization (RBDO) has become a prevalent design for aeronautical and aerospace engineering. The main problem is that it is impractical in complex cases with multi-failure regions, especially in multi-objective optimization. The
Mengchuang Zhang   +5 more
doaj   +1 more source

Low-Overhead Evaluation of Multiuser Detection Performance for Physical-Layer Multiple Access Systems

open access: yesIEEE Access, 2020
In order to facilitate massive connectivity in fifth-generation (5G) systems and make full use of advanced coding schemes, designing effective multiuser detection algorithms is necessary for mitigating the interference in multiple access systems.
Fengxia Han   +4 more
doaj   +1 more source

Efficient structural reliability analysis by using a PGD model in an adaptive importance sampling schema

open access: yesAdvanced Modeling and Simulation in Engineering Sciences, 2020
One of the most important goals in civil engineering is to guarantee the safety of the construction. Standards prescribe a required failure probability in the order of $$10^{-4}$$ 10 - 4 to $$10^{-6}$$ 10 - 6 .
Annika Robens-Radermacher   +1 more
doaj   +1 more source

Dual Free Adaptive Minibatch SDCA for Empirical Risk Minimization

open access: yesFrontiers in Applied Mathematics and Statistics, 2018
In this paper we develop an adaptive dual free Stochastic Dual Coordinate Ascent (adfSDCA) algorithm for regularized empirical risk minimization problems. This is motivated by the recent work on dual free SDCA of Shalev-Shwartz [1].
Xi He, Rachael Tappenden, Martin Takáč
doaj   +1 more source

Coherence and Adaptivity in Frameless Rendering-A Practical and Information Theoretic Analysis

open access: yesIEEE Access, 2021
Virtual and Augmented Reality applications demand low-latency rendering. Adaptive Frameless Rendering (AFR) techniques offer a potential alternative to currently dominating non-adaptive double-buffered real-time 3D rendering techniques.
Abhinav Dayal   +3 more
doaj   +1 more source

Parallelized Adaptive Importance Sampling for Solving Inverse Problems

open access: yesFrontiers in Earth Science, 2018
In the field of groundwater hydrology and more generally geophysics, solving inverse problems in a complex, geologically realistic, and discrete model space often requires the usage of Monte Carlo methods.
Christoph Jäggli   +2 more
doaj   +1 more source

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