Results 51 to 60 of about 461,664 (195)
Surrogate models for precessing binary black hole simulations with unequal masses [PDF]
Only numerical relativity simulations can capture the full complexities of binary black hole mergers. These simulations, however, are prohibitively expensive for direct data analysis applications such as parameter estimation.
Blackman, Jonathan +7 more
core +3 more sources
On a novel approach for optimizing composite materials panel using surrogate models [PDF]
This paper describes an optimization procedure to design thermoplastic composite panels under axial compressive load conditions. Minimum weight is the goal. The panel design is subject to buckling constraints.
Akcay-Perdahcioglu, D. +3 more
core +1 more source
An architecture for efficient gravitational wave parameter estimation with multimodal linear surrogate models [PDF]
The recent direct observation of gravitational waves has further emphasized the desire for fast, low-cost, and accurate methods to infer the parameters of gravitational wave sources.
Blackman, Jonathan +2 more
core +2 more sources
Increasing Superstructure Optimization Capacity Through Self-Learning Surrogate Models
Simulation-based optimization models are widely applied to find optimal operating conditions of processes. Often, computational challenges arise from model complexity, making the generation of reliable design solutions difficult.
Julia Granacher +3 more
doaj +1 more source
A surrogate FRAX model for Mongolia
Abstract Summary A surrogate FRAX® model for Mongolia has been constructed using age- and sex-specific hip fracture rates for mainland China and age- and sex-specific mortality rates from Mongolia.
Jaalkhorol, M. +8 more
openaire +5 more sources
Computational Optimisation of Urban Design Models: A Systematic Literature Review
The densification of urban spaces globally has contributed to a need for design tools supporting the planning of more sustainable, efficient, and liveable cities.
JingZhi Tay +3 more
doaj +1 more source
BayCANN: Streamlining Bayesian Calibration With Artificial Neural Network Metamodeling
Purpose: Bayesian calibration is generally superior to standard direct-search algorithms in that it estimates the full joint posterior distribution of the calibrated parameters.
Hawre Jalal +2 more
doaj +1 more source
Learning Surrogate Models of Document Image Quality Metrics for Automated Document Image Processing
Computation of document image quality metrics often depends upon the availability of a ground truth image corresponding to the document. This limits the applicability of quality metrics in applications such as hyperparameter optimization of image ...
Hast, Anders +2 more
core +1 more source
Meniscal root repair is not routinely recommended for patients over 75 years old, yet surrogate age-unrestricted human or porcine models are used for its evaluation.
Alejandro Peña-Trabalon +4 more
doaj +1 more source
The leader–follower structure is widely used in unmanned aerial vehicle formation. This paper adopts the proportional-integral-derivative (PID) and the linear quadratic regulator controllers to construct the leader–follower formation.
Binglin Wang +4 more
doaj +1 more source

