Sequential design for surrogate modeling in Bayesian inverse problems

P Lartaud, P Humbert, J Garnier - arXiv preprint arXiv:2402.16520, 2024 - arxiv.org
Sequential design is a highly active field of research in active learning which provides a
general framework for the design of computer experiments to make the most of a low …

Dynamic Behavior of the inertial platform related to the research facility building laser and Gamma at ELI-NP Bucharest

P Bratu, AM Goanta, N Dragan, S Vlase, C Itu… - Symmetry, 2022 - mdpi.com
This paper aims to study the vibration of the large inertial platform from the Laser+ Gamma
building that is part of the ELI-NP project. In order to ensure a precisely positioned radiation …

Protocol-based particle filtering and divergence estimation

N Sadeghzadeh-Nokhodberiz… - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
Network protocols are applied to reduce the amount of data which are transmitted
simultaneously over the network. In this article, round-robin protocol (RRP) and try-once …

Bifurcation and Nonlinear Behavior Analysis of Dual-Directional Coupled Aerodynamic Bearing Systems

CC Wang, CJ Lin - Symmetry, 2020 - mdpi.com
Dual-directional coupled aerodynamic bearing (DCAB) systems have received considerable
attention over the past few years. These systems are primarily used to solve air lubrication …

[图书][B] Addressing the complexity of sustainability-driven structural design: Computational design, optimization, and decision making

A Mathern - 2021 - search.proquest.com
Being one of the sectors with the largest environmental burden and high socio-economic
impacts sets high requirements on the construction industry. At the same time, this provides …

Widespread Reductions of Spontaneous Neurophysiological Activity in Leber's Disease—An Application of EEG Source Current Density Reconstruction

K Jonak - Brain Sciences, 2020 - mdpi.com
Leber's hereditary optic neuropathy (LHON) is a rare, maternally inherited genetic disease
caused by a mutation of mitochondrial DNA. Classical descriptions have highlighted …

Active and compact entropy search for high-dimensional Bayesian optimization

R Li, Y Shi, Y Han, Y Shao, M Qi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Entropy search and its derivative methods are one class of Bayesian Optimization methods
that achieve active exploration of black-box functions. They maximize the information gain …

Structural Understanding of Glass-Forming Metallic Alloys

P Weeks - 2023 - search.proquest.com
Despite intense interest in the discovery and design of metallic glasses, the efficient a priori
identification of novel glass-formers without the need for time-consuming experimental …

Bayesian Calibration of Simulation-Based Analysis of Transportation Systems

M Yousefi, SF Ghoreishi - International Conference on …, 2022 - ascelibrary.org
In order to ensure that a car-following model's output is as close to reality as possible, the
model's parameters must be calibrated carefully. As simulation models are computationally …

An Advanced Statistical Method for Point Process Modelling With Missing Event Histories

P Lin, XX Yuan - IEEE Access, 2020 - ieeexplore.ieee.org
Researchers are always challenged in developing history-dependent point process models
for recurrence events such as system failures when the early event history is missing. The …