Results 21 to 30 of about 1,610,949 (112)
GDENet: Graph Differential Equation Network for Traffic Flow Prediction
International Journal of Intelligent Systems, Volume 2023, Issue 1, 2023., 2023 The accurate prediction of traffic flow is paramount for the advancement of intelligent transportation systems. Despite this, current prediction models only account for either temporal or spatial features in isolation, without considering their interaction, impeding the model’s ability to express itself.
Yanming Miao +4 more
wiley +1 more source
ECG Arrhythmia Classification using High Order Spectrum and 2D Graph Fourier Transform
Applied Sciences, 2020 Heart diseases are in the front rank among several kinds of life threats, due to its high incidence and mortality. Regarded as a powerful tool in the diagnosis of the cardiac disorder and arrhythmia detection, analysis of electrocardiogram (ECG) signals ...
Shu Liu +3 more
doaj +1 more source
Online graph learning for time‐varying graphs
Electronics Letters, Volume 58, Issue 16, Page 623-626, August 2022., 2022 Abstract In this paper, the is focus on the online graph learning problems in time‐varying environment. Traditional graph learning methods always assume that the underlying graph is static and that enough training data are available. However, in many real world applications, the underlying graph always changes slowly and only a small batch of data can ...
Binqiang Si, Dongqi Luo, Jihong Zhu
wiley +1 more source
Laplacian matrix graph for anomaly target detection in hyperspectral images
Electronics Letters, Volume 58, Issue 8, Page 312-314, April 2022., 2022 Abstract To improve the accuracy of abnormal target detection in hyperspectral images, an abnormal target detection method based on Laplacian matrix graph (LGD) is proposed. The method makes full use of the spatial and spectral information of hyperspectral abnormal targets by constructing the full‐connection graph and the nearest neighbour matrix ...
Fenggan Zhang, Fang He, Haojie Hu
wiley +1 more source
Dyconnmap: Dynamic connectome mapping—A neuroimaging python module
Human Brain Mapping, Volume 42, Issue 15, Page 4909-4939, October 15, 2021., 2021 In this article, we presented a python module, called dyconnmap, for static and dynamic brain network construction in multiple ways, mining time‐resolved function brain networks, network comparison and brain network classification. Abstract Despite recent progress in the analysis of neuroimaging data sets, our comprehension of the main mechanisms and ...
Avraam D. Marimpis +2 more
wiley +1 more source
Blind Mesh Assessment Based on Graph Spectral Entropy and Spatial Features
Entropy, 2020 With the wide applications of three-dimensional (3D) meshes in intelligent manufacturing, digital animation, virtual reality, digital cities and other fields, more and more processing techniques are being developed for 3D meshes, including watermarking ...
Yaoyao Lin +5 more
doaj +1 more source
Unraveling Hierarchical Brain Dysfunction in Major Depressive Disorder: A Multimodal Imaging and Transcriptomic Approach. [PDF]
Hum Brain MappDysfunctional hierarchy in major depressive disorder (MDD) features decreased SDI in regions linked to high‐order cognitive functions, like the prefrontal, parietal, and orbitofrontal cortices. Conversely, areas related to low‐level sensory‐motor functions, the somatosensory cortex, showed increased SDI in MDD.
Xiayan C +8 more
europepmc +2 more sources
Random fractional Fourier transform : stochastic perturbations along the axis of propagation [PDF]
, 1999 The fractional Fourier transform (FRT) is known to be optically implementable with use of a medium with a perfect radial quadratic-index profile. Using the quantum-mechanical operator formalism, we examine the effects on the FRT action of such a medium
Abe, Sumiyoshi, Sheridan, John T.
core +1 more source
Guest editorial: Low‐carbon operation and marketing of distribution systems
, 2022 IET Renewable Power Generation, Volume 16, Issue 12, Page 2463-2467, 7 September 2022.
Yue Chen +5 more
wiley +1 more source
Applications of Fourier transform infrared spectroscopy [PDF]
, 2012 Podeu consultar el llibre complet a: http://hdl.handle.net/2445/32166This article summarizes the basic principles of Fourier Transform Infrared Spectroscopy, with examples of methodologies and applications to different field ...
Ferrer i Felis, Núria
core +6 more sources