Zobrazeno 1 - 10
of 109
pro vyhledávání: '"Keshmiri Soheil"'
Publikováno v:
In Computers in Biology and Medicine May 2024 173
Autor:
Keshmiri, Soheil
This paper presents a minimalist neural regression network as an aggregate of independent identical regression blocks that are trained simultaneously. Moreover, it introduces a new multiplicative parameter, shared by all the neural units of a given l
Externí odkaz:
http://arxiv.org/abs/1607.01136
We present an adaptive sampling approach to 3D reconstruction of the welding joint using the point cloud that is generated by a laser sensor. We start with a randomized strategy to approximate the surface of the volume of interest through selection o
Externí odkaz:
http://arxiv.org/abs/1502.04190
We present a deep learning approach to estimation of the bead parameters in welding tasks. Our model is based on a four-hidden-layer neural network architecture. More specifically, the first three hidden layers of this architecture utilize Sigmoid fu
Externí odkaz:
http://arxiv.org/abs/1502.04187
This article presents a novel utilization of the concept of entropy in information theory to model-free 3D reconstruction of weld joint in presence of noise. We show that our formulation attains its global minimum at the upper edge of this joint. Thi
Externí odkaz:
http://arxiv.org/abs/1410.3987
Autor:
Keshmiri, Soheil1 (AUTHOR) soheil@atr.jp, Alimardani, Maryam1,2 (AUTHOR), Shiomi, Masahiro1 (AUTHOR), Sumioka, Hidenobu1 (AUTHOR), Ishiguro, Hiroshi1,3 (AUTHOR), Hiraki, Kazuo4 (AUTHOR)
Publikováno v:
PLoS ONE. 4/9/2020, Vol. 15 Issue 4, p1-20. 20p.
Autor:
Villani Gaia, Sumioka Hidenobu, Ishiguro Hiroshi, Shiomi Masahiro, Sara Invitto, Grasso Alberto, Keshmiri Soheil
Publikováno v:
Chemical Senses. 45:119-174
Autor:
Sumioka, Hidenobu1 (AUTHOR) sumioka@atr.jp, Keshmiri, Soheil1 (AUTHOR), Ishiguro, Hiroshi1,2 (AUTHOR)
Publikováno v:
Advanced Robotics. Oct2019, Vol. 33 Issue 19, p1019-1029. 11p.
Akademický článek
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