Model reduction for fractured porous media: a machine learning approach for identifying main flow pathways
Sign Up to like & getrecommendations! Published in 2019 at "Computational Geosciences"
DOI: 10.1007/s10596-019-9811-7
Abstract: Discrete fracture networks (DFN) are often used to model flow and transport in fractured porous media. The accurate resolution of flow and transport behavior on a large DFN involving thousands of fractures is computationally expensive.… read more here.
Keywords: reduction; network; sub network; sub networks ... See more keywords
Real-time salient object detection with boundary information guidance
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.06.072
Abstract: Abstract The low contrast between salient objects and background may result in errors in salient object detection. The low-contrast areas are likely distinguished away from salient objects by saliency information. However, salient objects near the… read more here.
Keywords: salient objects; information; boundary information; sub network ... See more keywords
LightingNet: An Integrated Learning Method for Low-Light Image Enhancement
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2023.3240087
Abstract: Images captured in low-light environments suffer from serious degradation due to insufficient light, leading to the performance decline of industrial and civilian devices. To address the problems of noise, chromatic aberration, and detail distortion for… read more here.
Keywords: light image; lightingnet; low light; integrated learning ... See more keywords
Sub-Network Kernels for Measuring Similarity of Brain Connectivity Networks in Disease Diagnosis
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2018.2799706
Abstract: As a simple representation of interactions among distributed brain regions, brain networks have been widely applied to automated diagnosis of brain diseases, such as Alzheimer’s disease (AD) and its early stage, i.e., mild cognitive impairment… read more here.
Keywords: similarity; brain; brain networks; sub network ... See more keywords
Hierarchical Synchronization Estimation of Low- and High-Order Functional Connectivity Based on Sub-Network Division for the Diagnosis of Autism Spectrum Disorder
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.810431
Abstract: Functional connectivity network (FCN) calculated by resting-state functional magnetic resonance imaging (rs-fMRI) plays an increasingly important role in the exploration of neurologic and mental diseases. Among the presented researches, the method of constructing FCN based… read more here.
Keywords: sub network; sub; network; low high ... See more keywords
Aberrant Resting-State Functional Connectivity in MDD and the Antidepressant Treatment Effect—A 6-Month Follow-Up Study
Sign Up to like & getrecommendations! Published in 2023 at "Brain Sciences"
DOI: 10.3390/brainsci13050705
Abstract: Background: The mechanism by which antidepressants normalizing aberrant resting-state functional connectivity (rsFC) in patients with major depressive disorder (MDD) is still a matter of debate. The current study aimed to investigate aberrant rsFC and whether… read more here.
Keywords: aberrant rsfc; network; state; mdd ... See more keywords