Optimal sampling of tensor networks targeting wave function's fast decaying tails by Marco Ballarin, Pietro Silvi, Simone Montangero, Daniel Jaschke

“…We introduce an optimal strategy to sample quantum outcomes of local measurement strings for isometric tensor network states. Our method generates samples based on an exact cumulative bounding function, without prior knowledge, in the minimal amount of tensor network contractions. …”
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Lateralized Resting-State Functional Brain Network Organization Changes in Heart Failure. by Bumhee Park, Bhaswati Roy, Mary A Woo, Jose A Palomares, Gregg C Fonarow, Ronald M Harper, Rajesh Kumar

“…Heart failure (HF) patients show brain injury in autonomic, affective, and cognitive sites, which can change resting-state functional connectivity (FC), potentially altering overall functional brain network organization. …”
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Spiking dynamics of individual neurons reflect changes in the structure and function of neuronal networks by Ruochen Yang, Heng Ping, Xiongye Xiao, Roozbeh Kiani, Paul Bogdan

“…Abstract Brain networks exhibit diverse topological structures to adapt and support brain functions. …”
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Causality-aware graph neural networks for functional stratification and phenotype prediction at scale by Charalampos P. Triantafyllidis, Ricardo Aguas

“…Abstract We employ a computational framework that integrates mathematical programming and Graph Neural Networks (GNNs) to elucidate functional phenotypic heterogeneity in disease by classifying entire pathways under various conditions of interest. …”
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Optimization of Convolutional Neural Networks With Multi-Objective Function Metaheuristics for Melanoma Detection by Pamela Hermosilla, Ricardo Soto, Eric Monfroy, Emanuel Vega, Lucas Erazo, Valentina Guzman

“…Convolutional Neural Networks (CNNs) have demonstrated superior classification performance, often surpassing dermatologists in diagnostic accuracy. …”
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Dynamic Functional Network Connectivity Analysis in Autism Spectrum Disorder: An EEG Study by Seyedeh Negin Seyed Fakhari, Foad Ghaderi, Mehdi Tehrani-Doost, Nasrollah Moghadam Charkari

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EEG Functional Connection Analysis Based on the Weight Distribution of Convolutional Neural Network by Jinglong Wu, Peiwen Huang, Tiantian Liu, Go Ritsu, Duanduan Chen, Tianyi Yan

Subjects: “…Neural networks…”
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Delay probability in adaptive systems based on activation function of classical neural networks by Maja Lutovac Banduka, Vladimir Mladenović, Danijela Milosević, Vladimir Orlić, Asutosh Kar

“…There is no single procedure for providing an algorithm with closed-form system response relations as a function of system parameters. In this paper, we illustrate a unique method for discrete-time digital nonlinear systems. …”
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Classification Improvement with Integration of Radial Basis Function and Multilayer Perceptron Network Architectures by László Kovács

Subjects: “…redial basis function…”
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Rumor Spreading of an SIHR Model in Heterogeneous Networks Based on Probability Generating Function by Jinxian Li, Yanping Hu, Zhen Jin

“…This paper focuses on the modeling of a rumor spreading in heterogeneous networks. Using the probability generating function method and pair approximation method, the current research obtains nonlinear differential equations to describe the dynamics of rumor spreading. …”
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Distributed random vector functional link network with subspace-based local connections by YU Wanguo, YUAN Zhenhao, CHEN Jiaqi, HE Yulin

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Nonredundant, Highly Connected MicroRNAs Control Functionality in Breast Cancer Networks by Guillermo de Anda-Jáuregui, Jesús Espinal-Enríquez, Diana Drago-García, Enrique Hernández-Lemus

“…We hypothesize that highly influential, nonredundant miRs, which we call Commodore miRs (Cdre-miRs), have an important role on the control of biological functions through transcriptional networks. In this work, we analyze the regulation of gene expression by miRs in healthy and cancerous breast tissue using bipartite miR-gene networks inferred from the Cancer Genome Atlas (TCGA) expression data. …”
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Enhanced individual difference of functional brain network induced by volitional eyes closing by Yi Zhang, Guiyang Lv, Panpan Han, Nianqiang Peng, Longhui Li, Jun Gu, Yue Liu, Xin Shi

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Three-dimensional combined inversion method of the MT and Network-MT response functions by Yoshiya Usui, Makoto Uyeshima

“…The combined inversion of the Network-MT and MT response functions can overcome this limitation. …”
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Critical Function Placement based on Service Chains in Multi-administrative Federated Networks by Dariusz Nogalski, Dallal Belabed, Alexandre Triollet, Konstanty Junosza-Szaniawski, Slim Abdellatif, Pascal Berthou, Stanislas Pedebearn, Adam Dudko

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Alterations in functional connectivity in the salience network shared by depressive symptoms and smartphone overuse by Seonkyoung Lee, Yongjeon Cheong, Jihyeong Ro, Jihyun Bae, Minyoung Jung

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Research on Recognition of Motor Imagination Based on Connectivity Features of Brain Functional Network by Zhizeng Luo, Ronghang Jin, Hongfei Shi, Xianju Lu

“…Furthermore, the CIR of each regional functional network is calculated to form three-dimensional vectors. …”
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A multimodal functional structure-based graph neural network for fatigue detection by Dongrui Gao, Zhihong Zhou, Zongyao Peng, Haokai Zhang, Shihong Liu, Manqing Wang, Hongli Chang

“…Recent studies have attempted to enhance detection performance through multimodal information fusion, yet they largely overlook the impact of functional connectivity among multimodal signals. To address this limitation, we propose a novel multimodal fatigue classification framework integrating electroencephalogram (EEG) and electrocardiogram (ECG) signals. …”
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Double-xerogel network composite zeolite granules targeting dual-functional fertilizers by Nguyen Manh Khang, Vo Tran Minh Khoa, Nguyen Thi Truc Phuong, Nguyen Xuan Du, Ngo Tran Hoang Duong, Nguyen Van Dung, Tran Thuy Tuyet Mai, Nguyen Quang Long

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Server Resource Dimensioning and Routing of Service Function Chain in NFV Network Architectures by V. Eramo, A. Tosti, E. Miucci

“…The Network Function Virtualization (NFV) technology aims at virtualizing the network service with the execution of the single service components in Virtual Machines activated on Commercial-off-the-shelf (COTS) servers. …”
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