Results 51 to 60 of about 185,885 (248)
With the increasing integration of computer science and engineering optimization, the capabilities of advanced machine learning in data processing and surrogate modeling for complex simulations have provided a transformative development direction for ...
Hang Zhou +3 more
doaj +1 more source
Support Vector Regression-Based Optimization for Triple Friction Pendulum Bearings: Achieving Computational Efficiency [PDF]
Triple friction pendulum bearings (TFPBs) enhance the seismic resilience of base-isolated buildings. However, optimizing TFPB designs is computationally expensive, necessitating surrogate modeling techniques.
Mahnaz Akbarzaghi +2 more
doaj +1 more source
Fast prediction and evaluation of gravitational waveforms using surrogate models [PDF]
[Abridged] We propose a solution to the problem of quickly and accurately predicting gravitational waveforms within any given physical model. The method is relevant for both real-time applications and in more traditional scenarios where the generation of
Field, Scott E. +4 more
core +6 more sources
Developmental Disorders in Children Recently Diagnosed With Cancer
ABSTRACT Neurocognitive deficits in adult survivors of childhood cancer are well established, but less is known about developmental disorders (DD) arising shortly after cancer diagnosis. Using 2016–2019 linked Ohio cancer registry and Medicaid data, we compared DD among 324 children with cancer and 606,913 cancer‐free controls.
Jamie Shoag +5 more
wiley +1 more source
ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül +2 more
wiley +1 more source
Machine learning enables national assessment of wind plant controls with implications for land use
Summary As deployment of wind energy continues to expand, computationally efficient tools for predicting wind plant performance over a wide range of layout designs, technology innovations, and spatial locations are increasingly important for policy and ...
Dylan Harrison‐Atlas +2 more
doaj +1 more source
Mapping the evolution of mitochondrial complex I through structural variation
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
A surrogate modeling and adaptive sampling toolbox for computer based design [PDF]
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging design problems.
Couckuyt, Ivo +4 more
core
Metamodel-based importance sampling for the simulation of rare events
In the field of structural reliability, the Monte-Carlo estimator is considered as the reference probability estimator. However, it is still untractable for real engineering cases since it requires a high number of runs of the model.
Deheeger, F., Dubourg, V., Sudret, B.
core +2 more sources

