Results 51 to 60 of about 237,712 (291)

Stochastic Finite-Time Output Feedback Stabilization of Feedforward Nonlinear Systems

IEEE Access, 2019
The finite-time stabilization for stochastic high-order nonlinear systems is considered in this paper using output feedback. The power orders in the system nonlinearities are relaxed to be rational number greater than one.
Xinghui Zhang, Ancai Zhang, Guochen Pang
doaj   +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

The use of random process models and machine learning to analyze the operation of a taxi order service [PDF]

ITM Web of Conferences, 2019
The possibilities of constructing an effective forecast of the number of taxi service orders based on mathematical models are considered. A comparative analysis of the variances of forecasting errors for various stochastic models and models based on ...
Andriyanov Nikita, Sonin Vladislav
doaj   +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

Stochastic comparisons of finite mixture models derived from distorted distributions: results based on vector and multivariate chain majorization approaches

Journal of Inequalities and Applications
In this paper, we focus on classical finite mixture models, which are widely used in modeling lifetime distributions for random samples arising from heterogeneous populations. We then develop results in two directions.
M. Shekari, Z. Pakdaman, G. Saadat Kia Barmalzan, N. Balakrishnan   +3 more
doaj   +1 more source

Stochastic ordering by g-expectations

, 2020
We derive sufficient conditions for the convex and monotonic g-stochastic ordering of diffusion processes under nonlinear g-expectations and g-evaluations. Our approach relies on comparison results for forward-backward stochastic differential equations and on several extensions of convexity, monotonicity and continuous dependence properties for the ...
Ly, Sel, Privault, Nicolas
openaire   +3 more sources

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

Comparisons of Parallel Systems with Components Having Proportional Reversed Hazard Rates and Starting Devices

Mathematics, 2021
In this paper, we consider stochastic comparisons of parallel systems with proportional reversed hazard rate (PRHR) distributed components equipped with starting devices. By considering parallel systems with two components that PRHR and starting devices,
Narayanaswamy Balakrishnan, Ghobad Barmalzan, Sajad Kosari   +2 more
doaj   +1 more source

Deterministic Detection of Single Ion Implantation

Advanced Engineering Materials, EarlyView.
Focused ion beam implantation with high detection efficiencies will enable the rapid and scalable fabrication of advanced spin‐based technologies such as qubits. This work presents the detection efficiencies of a wide range of ions implanted into solid‐state hosts, with efficiencies of >90% recorded for ion species and substrate combinations of ...
Mason Adshead, Lok Kan Wan, Maddison Coke, Janet Jacobs, Nicholas F. L. Collins, Mark C. Rosamond, Richard J. Curry   +6 more
wiley   +1 more source

Flux Analysis in Process Models via Causality [PDF]

Electronic Proceedings in Theoretical Computer Science, 2010
We present an approach for flux analysis in process algebra models of biological systems. We perceive flux as the flow of resources in stochastic simulations. We resort to an established correspondence between event structures, a broadly recognised model
Ozan Kahramanoğulları
doaj   +1 more source