Results 281 to 290 of about 2,310,096 (349)
Underwater Pile Foundation Defect Detection Method Based on Diffusion Probabilistic Model and Improved PointMLP. [PDF]
Sensors (Basel)Ji T, Zhang D.
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A Review on Registration Techniques for Cardiac Computed Tomography and Ultrasound Images. [PDF]
Bioengineering (Basel)Li Z, He H, Wang Q, Li L, Gao H, Li J.
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Image Processing and Acquisition using Python, 2020
Ravishankar Chityala, Sridevi Pudipeddi
semanticscholar +2 more sources
Ravishankar Chityala, Sridevi Pudipeddi
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IEEE Transactions on Vehicular Technology, 2023
This article addresses the distributed formation reconfiguration control problem for a fleet of nonlinear multiple autonomous underwater vehicles (AUVs) in three-dimensional (3-D) ocean environments.
W. Pang +3 more
semanticscholar +1 more source
This article addresses the distributed formation reconfiguration control problem for a fleet of nonlinear multiple autonomous underwater vehicles (AUVs) in three-dimensional (3-D) ocean environments.
W. Pang +3 more
semanticscholar +1 more source
Heterogeneous Clutter Suppression via Affine Transformation on Riemannian Manifold of HPD Matrices
IEEE Transactions on Geoscience and Remote Sensing, 2022Due to a serious shortage of training data, the performance of adaptive clutter suppression suffers remarkable degradation in heterogeneous environments.
Xixi Chen +3 more
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ACM Multimedia, 2022
One challenging problem, named spatial misaligned image generation, describing a translation between two face/pose images with large spatial deformation, is widely faced in tasks of face/pose reenactment.
Zhimeng Zhang, Yu-qiong Ding
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One challenging problem, named spatial misaligned image generation, describing a translation between two face/pose images with large spatial deformation, is widely faced in tasks of face/pose reenactment.
Zhimeng Zhang, Yu-qiong Ding
semanticscholar +1 more source
IEEE transactions on multimedia, 2021
Recently, deep convolutional neural network sho-ws significant improvement for intensity-guided depth map enhancement. The most networks focus on either increasing depth or easing features propagation via residual learning and dense connection.
Y. Zuo +4 more
semanticscholar +1 more source
Recently, deep convolutional neural network sho-ws significant improvement for intensity-guided depth map enhancement. The most networks focus on either increasing depth or easing features propagation via residual learning and dense connection.
Y. Zuo +4 more
semanticscholar +1 more source
Affine Transformation of Negative Values for NMR Metabolomics Using the mrbin R Package.
Journal of Proteome Research, 2021Data from untargeted metabolomics studies employing nuclear magnetic resonance (NMR) spectroscopy oftentimes contain negative values. These negative values hamper data processing and analysis algorithms and prevent the use of such data in multiomics ...
M. Klein
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