Results 281 to 290 of about 61,881 (336)

Landing control of a magnetically actuated robotic catheter on beating heart surface. [PDF]

Sci Rep
Hao R, Cavuşoğlu MC.
europepmc   +1 more source

Shape analysis of the amygdala, hippocampus and thalamus in former American football players. [PDF]

Brain Commun
John O, Wickham A, Jung LB, Mirmajlesi AS, Stearns J, Breedlove K, Kim N, Daneshvar DH, Billah T, Pasternak O, Chamaria A, Coleman MJ, Tripodis Y, Adler CH, Bernick C, Balcer LJ, Rushmore RJ, Alosco ML, Koerte IK, Lin AP, Cummings JL, Reiman EM, Stern RA, Shenton ME, Arciniega H, Bouix S, DIAGNOSE CTE Research Project .   +26 more
europepmc   +1 more source

3D Sensitivity Zone Mapping in a Multi-Static, Microwave Breast Imaging Configuration. [PDF]

Sensors (Basel)
Meaney P, Kordiboroujeni Z, Paulsen K.
europepmc   +1 more source

NIRFASTerFF: an accessible, cross-platform Python package for fast photon modeling. [PDF]

J Biomed Opt
Cao J, Montero-Hernandez S, Mesquita RC, Eggebrecht AT, Dehghani H.   +4 more
europepmc   +1 more source

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Jacobian

Encyclopedia of Robotics, 2021
Shramana Ghosh
openaire   +2 more sources

Neural jacobian fields

ACM Transactions on Graphics, 2022
This paper introduces a framework designed to accurately predict piecewise linear mappings of arbitrary meshes via a neural network, enabling training and evaluating over heterogeneous collections of meshes that do not share a triangulation, as well as ...
Noam Aigerman, Kunal Gupta, Vladimir G. Kim, S. Chaudhuri, Jun Saito, Thibault Groueix   +5 more
semanticscholar   +1 more source

Data-driven learning for robot control with unknown Jacobian

at - Automatisierungstechnik, 2020
Unlike most control systems, kinematic uncertainty is present in robot control systems in addition to dynamic uncertainty. The use of different types of external sensors in various configurations also results in different sensory transformation or ...
S. Lyu, C. Cheah
semanticscholar   +1 more source

Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization

European Conference on Computer Vision, 2018
Deep neural networks have lately shown tremendous performance in various applications including vision and speech processing tasks. However, alongside their ability to perform these tasks with such high accuracy, it has been shown that they are highly ...
Daniel Jakubovitz, R. Giryes
semanticscholar   +1 more source