Results 31 to 40 of about 120,818,707 (130)

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

open access: yesAdvanced Science, Volume 13, Issue 14, 9 March 2026.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu   +7 more
wiley   +1 more source

Recanting Twins: Addressing Intermediate Confounding in Mediation Analysis

open access: yesStatistics in Medicine, Volume 45, Issue 3-5, February 2026.
ABSTRACT The presence of intermediate confounders, also called recanting witnesses, is a fundamental challenge to the investigation of causal mechanisms in mediation analysis, preventing the identification of natural path‐specific effects. Common alternatives (such as randomizational interventional effects) are problematic because they can take non ...
Tat‐Thang Vo   +4 more
wiley   +1 more source

An Interior-Point algorithm for Nonlinear Minimax Problems [PDF]

open access: yes
We present a primal-dual interior-point method for constrained nonlinear, discrete minimax problems where the objective functions and constraints are not necessarily convex.
E. Obasanjo, G. Tzallas-Regas, B. Rustem
core  

Transition‐Aware Q‐Learning for Robust Tracking in Networked Control Systems with Fading Channels: Application to Leader−Follower Vehicle Control

open access: yesIET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
Maintaining reliable tracking control in networked control systems over fading wireless channels is difficult due to the stochastic and time‐correlated nature of wireless links. This work proposes a transition‐aware Q‐learning (TA‐QL) method that learns robust control policies directly from networked data without requiring explicit models, while ...
Ehsan Badfar, Babak Tavassoli
wiley   +1 more source

Survey of Physical‐Domain Adversarial Attack Techniques on Object Detection

open access: yesIET Computer Vision, Volume 20, Issue 1, January/December 2026.
The vulnerability of DNN‐based object detection models to physical‐domain adversarial attacks has become a major security threat and has attracted extensive academic research. This review focusses on such attacks, covering core concept summary, existing survey limitation analysis, latest research advances’ review, existing technique shortcoming ...
Zhongjie Yin   +5 more
wiley   +1 more source

Equivalent Results in Minimax Theory [PDF]

open access: yes
In this paper we review known minimax results with applications ingame theory and show that these results are easy consequences of thefirst minimax result for a two person zero sum game with finite strategysets published by von Neumann in 1928: Among ...
Kassay, G., Kolumban, J., Frenk, J.B.G.
core  

Digital Twin‐Driven Two‐Stage Bi‐Level Collaborative Operation Strategy for Multi‐Microgrids Considering Energy Sharing and Price Incentives

open access: yesDigital Twins and Applications, Volume 3, Issue 1, January/December 2026.
ABSTRACT To enhance the techno‐economic performance and robustness of multi‐microgrids (MMG) systems, this paper proposes a two‐stage bi‐level collaborative optimisation strategy integrating energy sharing and price incentives. In the day‐ahead stage, the shared energy storage operator (SESO) at the upper level employs conditional Wasserstein ...
Xianghu Cui   +4 more
wiley   +1 more source

On second order duality for nondifferentiable minimax fractional programming problems involving type-I functions [PDF]

open access: yes, 2014
We introduce second order \((C,\alpha ,\rho ,d)\) type-I functions and formulate a second order dual model for a nondifferentiable minimax fractional programming problem. The usual duality relations are established under second order \((F,\alpha ,\rho ,d)
Gupta, S. K., Dangar, D., Ahamd, I.
core   +1 more source

DEA Problems under Geometrical or Probability Uncertainties of Sample Data [PDF]

open access: yes
This paper discusses the theoretical and practical aspects of new methods for solving DEA problems under real-life geometrical uncertainty and probability uncertainty of sample data.
Althaler, Karl S., Slavova, Tatjana
core  

A deep cut ellipsoid algorithm for convex programming [PDF]

open access: yes
This paper proposes a deep cut version of the ellipsoid algorithm for solving a general class of continuous convex programming problems. In each step the algorithm does not require more computational effort to construct these deep cuts than its ...
Zhang, S.   +2 more
core  

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