Results 41 to 50 of about 97,629 (266)

Comparison of Splitting Methods for Deterministic/Stochastic Gross–Pitaevskii Equation

Mathematical and Computational Applications, 2019
In this paper, we discuss the different splitting approaches to numerically solvethe Gross–Pitaevskii equation (GPE). The models are motivated from spinor Bose–Einsteincondensate (BEC).
Jürgen Geiser, Amirbahador Nasari
doaj   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +10 more
wiley   +1 more source

Advancing Computational Approaches for Geometry Optimization of Steel Structures

Engineering Transactions
The primary objective of this study is to develop and assess computational methods for optimizing the geometry of specific building structures modeled through parametric description.
Artur LAX, Sławomir MILEWSKI
doaj   +1 more source

Numerical methods for piecewise deterministic Markov processes with boundary

ESAIM: Proceedings and Surveys, 2014
In this paper is described the general aspect of a numerical method for piecewise deterministic Markov processes with boundary. Under very natural hypotheses, a crucial result about uniqueness of solution of a generalized Kolmogorov ...
Goudenège Ludovic
doaj   +1 more source

Training, Architecture, and Prior for Deterministic Uncertainty Methods

CoRR, 2023
Accurate and efficient uncertainty estimation is crucial to build reliable Machine Learning (ML) models capable to provide calibrated uncertainty estimates, generalize and detect Out-Of-Distribution (OOD) datasets. To this end, Deterministic Uncertainty Methods (DUMs) is a promising model family capable to perform uncertainty estimation in a single ...
Bertrand Charpentier, Chenxiang Zhang, Stephan Günnemann   +2 more
openaire   +2 more sources

A Prospective Study of Individuals at Risk of Multiple Sclerosis Informs the Design of Primary Prevention Studies

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective In multiple sclerosis, the optimal time for deploying a therapeutic intervention is before the central nervous system is damaged; given the success of trials treating the earliest stage of MS, the radiologically isolated syndrome, developing primary prevention strategies is an important next challenge.
Amy W. Laitinen, Ceren Tozlu, Tina Roostaei, Fatoumata Diallo, Kaho Onomichi, Jiyeon Son, Zongqi Xia, Philip L. De Jager   +7 more
wiley   +1 more source

Probabilistic and deterministic estimates of near-field tsunami hazards in northeast Oman

Geoscience Letters, 2018
Tsunamis generated along the Makran subduction zone (MSZ) threaten the Sur coast of Oman, according to deterministic and probabilistic analyses presented here.
I. El-Hussain, R. Omira, Z. Al-Habsi, M. A. Baptista, A. Deif, A. M. E. Mohamed   +5 more
doaj   +1 more source

A Review of Deterministic Optimization Methods in Engineering and Management [PDF]

Mathematical Problems in Engineering, 2012
With the increasing reliance on modeling optimization problems in practical applications, a number of theoretical and algorithmic contributions of optimization have been proposed. The approaches developed for treating optimization problems can be classified into deterministic and heuristic.
Lin, Ming-Hua, Tsai, Jung-Fa, Yu, Chian-Son   +2 more
openaire   +2 more sources

Integrating Time‐Adjusted Imaging Instability Into Functional Outcome Prediction After Intracerebral Hemorrhage: Development and Validation of the HAGIV Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song, Ren Ke, Anqi Chen, Yufei Fu, Hang Zhou, Rujia Wang, Liwei Zou, Yongqiang Yu, Ming Yuan, Xiaoming Qiu, Mengzhou Xue   +10 more
wiley   +1 more source

Classification of Underlying Causes of Power Quality Disturbances: Deterministic versus Statistical Methods

EURASIP Journal on Advances in Signal Processing, 2007
This paper presents the two main types of classification methods for power quality disturbances based on underlying causes: deterministic classification, giving an expert system as an example, and statistical classification, with support vector machines (
Emmanouil Styvaktakis, Peter G. V. Axelberg, Irene Y. H. Gu, Math H. J. Bollen   +3 more
doaj   +2 more sources