Results 11 to 20 of about 917,147 (305)
Semi‐supervised classification of fundus images combined with CNN and GCN
Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022 Abstract Purpose Diabetic retinopathy (DR) is one of the most serious complications of diabetes, which is a kind of fundus lesion with specific changes. Early diagnosis of DR can effectively reduce the visual damage caused by DR. Due to the variety and different morphology of DR lesions, automatic classification of fundus images in mass screening can ...
Sixu Duan +8 more
wiley +1 more source
Advanced Engineering Materials, EarlyView., 2023 The study presents the mechanical and in situ sensing performance of digital light processing‐enabled 2D lattice nanocomposites under monotonic tensile and repeated cyclic loading, and provides guidelines for the design of architectures suitable for strain sensors and smart lightweight structures.
Omar Waqas Saadi +3 more
wiley +1 more source
A Variational Beam Model for Failure of Cellular and Truss‐Based Architected Materials
Advanced Engineering Materials, EarlyView., 2023 Herein, a versatile and efficient beam modeling framework is developed to predict the nonlinear response and failure of cellular, truss‐based, and woven architected materials. It enables the exploration of their design space and the optimization of their mechanical behavior in the nonlinear regime. A variational formulation of a beam model is presented
Konstantinos Karapiperis +3 more
wiley +1 more source
Research on Energy-Aware Topology Strategy Based on Wireless Sensor in Internet of Things [PDF]
International Journal of Computational Intelligence Systems, 2014 Since the finitude of hardware and network dynamic limit the bandwidth based on wireless sensor in the wireless internet of things (IOT), it is difficult to obtain the network topology information accurately and timely.
XueFei Tang, XinZheng Niu, Shahzad Ali
doaj +1 more source
Topological properties of hierarchical networks [PDF]
Physical Review E, 2015 Hierarchical networks are attracting a renewal interest for modelling the organization of a number of biological systems and for tackling the complexity of statistical mechanical models beyond mean-field limitations. Here we consider the Dyson hierarchical construction for ferromagnets, neural networks and spin-glasses, recently analyzed from a ...
Andrea Galluzzi +6 more
openaire +8 more sources
Topology of music recommendation networks [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2006 We study the topology of several music recommendation networks, which arise from relationships between artist, co-occurrence of songs in play lists or experts’ recommendation. The analysis uncovers the emergence of complex network phenomena in these kinds of recommendation networks, built considering artists as nodes and their resemblance as links.
Òscar Celma +3 more
openaire +6 more sources
Noise-Induced Network Topologies
Physical Review Letters, 2023 We analyze transport on a graph with multiple constraints and where the weight of the edges connecting the nodes is a dynamical variable. The network dynamics results from the interplay between a nonlinear function of the flow, dissipation, and Gaussian, additive noise.
Frederic Folz +2 more
openaire +3 more sources
Network Topology Inference Based on Subset Structure Fusion
IEEE Access, 2020 Network topology measurement is an important component in network research. Network tomography is able to accurately infer network topology by using end-to-end measurement without cooperation of internal routers.
Jian Ye +3 more
doaj +1 more source
Novel Online Dimensionality Reduction Method with Improved Topology Representing and Radial Basis Function Networks. [PDF]
PLoS ONE, 2015 This paper presents improvements to the conventional Topology Representing Network to build more appropriate topology relationships. Based on this improved Topology Representing Network, we propose a novel method for online dimensionality reduction that ...
Shengqiao Ni +3 more
doaj +1 more source
Active Topology Inference using Network Coding [PDF]
, 1998 Our goal is to infer the topology of a network when (i) we can send probes between sources and receivers at the edge of the network and (ii) intermediate nodes can perform simple network coding operations, i.e., additions.
Buchbinder, E.I. +3 more
core +3 more sources