Results 1 to 10 of about 7,910 (205)
Detecting and localizing buildings is of primary importance in urban planning tasks. Automating the building extraction process, however, has become attractive given the dominance of Convolutional Neural Networks (CNNs) in image classification tasks.
Anastasios Temenos +3 more
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Modelling Open Ocean Aquaculture Structures Using CFD and a Simulation-Based Screen Force Model
The numerical framework of the open source CFD solver REEF3D is utilised to study the fluid–structure interaction of an open ocean aquaculture system and waves.
Tobias Martin +3 more
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Electrical Characterization by Counter-Doped Pocket Design in Tunnel FETs
The effects of low net-doped region on the electrical performance of tunnel field-effect transistors (TFETs) are investigated using a TCAD simulation.
Ki Ryung Nam +2 more
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The U-Net Family for Epicardial Adipose Tissue Segmentation and Quantification in Low-Dose CT
Epicardial adipose tissue (EAT) is located between the visceral pericardium and myocardium, and EAT volume is correlated with cardiovascular risk. Nowadays, many deep learning-based automated EAT segmentation and quantification methods in the U-net ...
Lu Liu +6 more
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A Generalized Linear Joint Trained Framework for Semi-Supervised Learning of Sparse Features
The elastic net is among the most widely used types of regularization algorithms, commonly associated with the problem of supervised generalized linear model estimation via penalized maximum likelihood.
Juan Carlos Laria +3 more
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Anisotropic Weighted Total Variation Feature Fusion Network for Remote Sensing Image Denoising
Remote sensing images are widely applied in instance segmentation and objetive recognition; however, they often suffer from noise, influencing the performance of subsequent applications.
Huiqing Qi, Shengli Tan, Zhichao Li
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Net-Baryon Probability Distributions from Lattice Simulations
We use the results of lattice simulations of the net-baryon number density at imaginary baryon chemical potential in Nf=2 QCD to construct the equation of state of dense and hot strong-interacting matter both above the Roberge–Weiss temperature T>TRW and
Roman Rogalyov, Vladimir Goy
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End-to-End Deep Learning CT Image Reconstruction for Metal Artifact Reduction
Metal artifacts are common in CT-guided interventions due to the presence of metallic instruments. These artifacts often obscure clinically relevant structures, which can complicate the intervention.
Dominik F. Bauer +5 more
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MS
Remote sensing hyperspectral cameras acquire high spectral-resolution data that reveal valuable composition information on the targets (e.g., for Earth observation and environmental applications).
Kasra Rafiezadeh Shahi +4 more
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We present a systematic study of the global polarization of Λ and Λ¯ hyperons in Au+Au collisions at sNN=19.6 GeV using the viscous hydrodynamic model CCNU-LBNL-Viscous hydrodynamic model (CLVisc) with a modified 3D optical Glauber model initial ...
Shasha Ye, Xuefei Yuan, Zefang Jiang
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