Results 111 to 120 of about 7,721,766 (241)

"Maximum Covariance Di erence Test for Equality of Two Covariance Matrices" [PDF]

We propose a test of equality of two covariance matrices based on the maximum standardized di erence of scalar covariances of two sample covariance matrices.We derive the tail probability of the asymptotic null distribution of the test statistic by the ...
Akimichi Takemura, Satoshi Kuriki
core  

Multimodal Covariance Network Reflects Individual Cognitive Flexibility [PDF]

Cognitive flexibility refers to the capacity to shift between patterns of mental function and relies on functional activity supported by anatomical structures. However, how the brain's structural-functional covarying is preconfigured in the resting state
Genon, Sarah, Huang, Xunan, Xu, Peng, Eickhoff, Simon B., Yi, Chanlin, Jiang, Lin, Li, Fali, Wang, Guangying, He, Runyang, Yao, Dezhong, Eickhoff, Simon B, Dong, Debo   +11 more
core   +1 more source

Particle Swarm Optimization as a Noise‐Tolerant Strategy for High‐Entropy Alloy Research

Advanced Intelligent Discovery, EarlyView.
A customized particle swarm optimization algorithm is benchmarked against batch Bayesian optimization across four high‐entropy alloy oxygen‐reduction landscapes. While both methods locate the global optimum comparably under noise‐free conditions, Bayesian optimization’s surrogate model tends to overfit noisy data.
Ahmad Tirmidzi, Matthias Arenz, Vladislav A. Mints   +2 more
wiley   +1 more source

Selective disruption of gray matter volume covariance in orbitofrontal cortex subregions among patients with functional constipation

Scientific Reports
Functional constipation (FCon) is a prevalent common functional gastrointestinal disorders (FGIDs) frequently linked to mental and psychological disorders.
Qian Su, Lianzi Liu, Ting Hua, Jian Gong, Hongliang Tian, Jiongyue Yun, Wangli Cai   +6 more
doaj   +1 more source

Structural covariance, topological organization, and volumetric features of amygdala subnuclei in posttraumatic stress disorder

NeuroImage: Clinical
The amygdala is divided into functional subnuclei which have been challenging to investigate due to functional magnetic resonance imaging (MRI) limitations in mapping small neural structures.
Elizabeth M. Haris, Richard A. Bryant, Mayuresh S. Korgaonkar   +2 more
doaj   +1 more source

Early childhood development of cortical structural covariance networks

, 2014
BACKGROUND: Structural covariance networks of cortical thickness are composed of regions with highly correlated variation. These networks change with age and are altered in neuropsychiatric disease.
Woolson, S, Gilmore, JH, Geng, X
core  

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source

Characterization of Parkinson's disease patients using individualized differential structural covariance network

Chinese Journal of Contemporary Neurology and Neurosurgery
Objective To investigate the individualized differential structural covariance network (IDSCN) in Parkinson's disease (PD) patients, and to examine their correlations with clinical symptoms.
QIN Xue-yan, MENG Xia-yu, WEI Shu-jie, DUAN Fei-yi, JI Yu-chen, MENG Fan-gang   +5 more
doaj   +1 more source

Collaborative Visual Localization for Modular Self‐Reconfigurable Robots

Advanced Intelligent Systems, EarlyView.
Relative localization in modular self‐reconfigurable robots is challenged by hardware limitations, constrained fields of view, and sensor faults. This paper, based on the SnailBot platform, presents a vision‐based collaborative localization method that combines ArUco markers with learning‐based algorithms to enable robust pose estimation from ...
Guanqi Liang, Rong Ou, Peiqi Wang, Xianghong Wang, Tin Lun Lam   +4 more
wiley   +1 more source

Distributed State Estimation for Mobile Robots in LiDAR Sensor Networks With Intermittent Inertial Measurements

Advanced Intelligent Systems, EarlyView.
A scalable distributed observer framework for LiDAR sensor networks is presented for robust tracking and pose estimation of mobile robots. By combining adaptable 3D detection, clustering‐based communication reduction, and intermittent inertial fusion, accurate and efficient estimation is achieved under occlusions and sensing constraints, with formally ...
Isabella Luppi, Ehsan Hashemi
wiley   +1 more source