Results 101 to 110 of about 1,546 (231)

Identification of Major Depressive Disorder Using Multiple Functional Connection Patterns

open access: yesCNS Neuroscience &Therapeutics, Volume 32, Issue 6, June 2026.
We propose a Multiple Functional Connection Pattern Graph Convolutional Network (MFCP) for major depressive disorder identification using resting‐state fMRI. By integrating Pearson correlation, sparse representation, and Granger causality–based brain networks, MFCP captures complementary connectivity information.
Yudi Ruan   +6 more
wiley   +1 more source

Stochastic collocation for optimal control problems with stochastic pde constraints [PDF]

open access: yes, 2012
pre-printWe discuss the use of stochastic collocation for the solution of optimal control problems which are constrained by stochastic partial differential equations (SPDE).
Tiesler, Hanne; Xiu, Dongbin; Preusser, Tobias   +1 more
core  

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

open access: yesDeep Underground Science and Engineering, Volume 5, Issue 2, Page 396-409, June 2026.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang   +4 more
wiley   +1 more source

Integral Reinforcement Learning-Based Stochastic Guaranteed Cost Control for Time-Varying Systems with Asymmetric Saturation Actuators

open access: yesActuators
This study explores a stochastic guarantee cost control (GCC) for time-varying systems with random parameters and asymmetric saturation actuators by employing the integral reinforcement learning (IRL) method in the dynamic event-triggered (DET) mode ...
Yuling Liang   +4 more
doaj   +1 more source

Uncertainty Quantification for the Transient Response of Human Equivalent Antenna Using the Stochastic Collocation Approach

open access: yesInternational Journal of Antennas and Propagation, 2019
The paper deals with the uncertainty quantification of the transient axial current induced along the human body exposed to electromagnetic pulse radiation. The body is modeled as a straight wire antenna whose length and radius exhibit random nature.
Anna Šušnjara, Dragan Poljak
doaj   +1 more source

Uncertainty quantification and Heston model

open access: yesJournal of Mathematics in Industry, 2018
In this paper, we study the impact of the parameters involved in Heston model by means of Uncertainty Quantification. The Stochastic Collocation Method already used for example in computational fluid dynamics, has been applied throughout this work in ...
María Suárez-Taboada   +3 more
doaj   +1 more source

CEBP and ZEB2 alterations define three distinct subtypes of B‐cell acute lymphoblastic leukemia

open access: yesHemaSphere, Volume 10, Issue 6, June 2026.
Abstract B‐cell acute lymphoblastic leukemia (B‐ALL) is a heterogeneous malignancy driven by diverse genetic alterations. Among these, CEBP family genes and ZEB2 are recurrently involved, yet the spectrum of genomic mechanisms and their clinical impact remain incompletely defined.
Rathana Kim   +29 more
wiley   +1 more source

CFD‐Based and Control‐Oriented Modeling of a Counterflow Heat Exchanger With Utilization of Parameter Identification

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 2, June 2026.
ABSTRACT Counterflow heat exchangers (CHXs) thermally couple consumers and producers to a district heating network (DHN). Fluctuating loads and control actions naturally lead to unsteady operation conditions of the network and its components, posing a challenge for DHN models and CHX parameterizations based on Nusselt correlations that assume steady ...
Marten Klein   +5 more
wiley   +1 more source

Text Mining in Bibliometrics and Science Mapping: A Methodological Review

open access: yesWIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley   +1 more source

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