Results 41 to 50 of about 74 (56)

Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging

Journal of Neuroscience Methods, 2021
Yunyan Zhang, Olayinka Oladosu
exaly  

Adaptation of Grad-CAM Method to Neural Network Architecture for LiDAR Pointcloud Object Detection

Energies, 2022
Daniel Dworak, Jerzy Baranowski
exaly  

Numerical analysis of two grad–div stabilization methods for the time-dependent Stokes/Darcy model

Computers and Mathematics With Applications, 2020
Yanren Hou, Pengzhan Huang
exaly  

Stability in 3d of a sparse grad-div approximation of the Navier-Stokes equations

Journal of Mathematical Analysis and Applications, 2022
William Layton, Shuxian Xu
exaly  

Grad‐seq in a Gram‐positive bacterium reveals exonucleolytic sRNA activation in competence control

EMBO Journal, 2020
Jens Hor, Genevieve Garriss, Silvia Di Giorgio   +2 more
exaly  

An efficient and modular grad–div stabilization

Computer Methods in Applied Mechanics and Engineering, 2018
Joseph Anthony Fiordilino, Yao Rong
exaly  

Error analysis and iterative solvers for Navier–Stokes projection methods with standard and sparse grad-div stabilization

Computer Methods in Applied Mechanics and Engineering, 2014
Sabine Le Borne, Leo G Rebholz
exaly  

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International Journal of Computer Vision, 2019
Dhruv Batra, Parikh Devi, Batra Dhruv
exaly  

Globally Hyperbolic Regularization of Grad's Moment System

Communications on Pure and Applied Mathematics, 2014
Zhenning Cai, Yuwei Fan, Ruo Li
exaly  

On the Grad–Shafranov equation as an eigenvalue problem, with implications for q solvers

Physics of Plasmas, 1994
L D Pearlstein, Pearlstein L D
exaly