Results 51 to 60 of about 72,594 (306)

Intrinsic noise analyzer:a software package for the exploration of stochastic biochemical kinetics using the system size expansion [PDF]

, 2012
The accepted stochastic descriptions of biochemical dynamics under well-mixed conditions are given by the Chemical Master Equation and the Stochastic Simulation Algorithm, which are equivalent.
Matuschek, H, Thomas, Philipp, Ramon Grima, Matuschek, Hannes, Thomas Philipp, Grima Ramon, Thomas, P, Philipp Thomas, Hannes Matuschek, Grima, Ramon, Matuschek Hannes, Grima, Ramon; id_orcid, Grima, R   +12 more
core   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

Stability and sensitivity analysis of stochastic programs with second order dominance constraints [PDF]

, 2010
In this paper we present stability and sensitivity analysis of a stochastic optimization problem with stochastic second order dominance constraints. We consider perturbation of the underlying probability measure in the space of regular measures equipped ...
Xu, Huifu, Yongchao Liu, Liu, Yongchao, Huifu Xu   +3 more
core   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Asynchronous stochastic approximation with differential inclusions

Stochastic Systems, 2012
The asymptotic pseudo-trajectory approach to stochastic approximation of Benaïm, Hofbauer and Sorin is extended for asynchronous stochastic approximations with a set-valued mean field.
David S. Leslie, Steven Perkins
doaj  

A new model for solving stochastic second-order cone complementarity problem and its convergence analysis

Journal of Inequalities and Applications, 2018
In this paper, we mainly consider the stochastic second-order cone complementarity problem (SSOCCP). Due to the existence of stochastic variable, the SSOCCP may have no solutions.
Meiju Luo, Caihua Zhang
doaj   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Simultaneous perturbation stochastic aproximation for Lipshitz functions

Lietuvos Matematikos Rinkinys, 2004
The convergence conditions of Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm with Gaussian smoothing operator are established in the class of Lipshitz functions.
Vaida Bartkutė, Leonidas Sakalauskas
doaj   +3 more sources

Tensor approximation methods for stochastic problems [PDF]

, 2017
Spektrale stochastische Methoden haben sich als effizientes Werkzeug zur Modellierung von Systemen mit Unsicherheiten etabliert. Der Vorteil dieser Methoden ist, dass sie nicht nur Statistiken liefern, sondern auch eine direkte Darstellung der Lösung als
Zander, Elmar Klaus
core   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source