English  |  正體中文  |  简体中文  |  Total items :0  
Visitors :  51524992    Online Users :  863
Project Commissioned by the Ministry of Education
Project Executed by National Taiwan University Library
 
臺灣學術機構典藏系統 (Taiwan Academic Institutional Repository, TAIR)
About TAIR

Browse By

News

Copyright

Related Links

"martin sebastien"

Return to Browse by Author
Sorting by Title Sort by Date

Showing items 1-9 of 9  (1 Page(s) Totally)
1 
View [10|25|50] records per page

Institution Date Title Author
國立交通大學 2019-06-03T01:08:30Z Fast and Accurate Solution of the Inverse Problem for Image Reconstruction Using Electrical Impedance Tomography Martin, Sebastien; Choi, Charles T. M.
國立交通大學 2019-04-03T06:43:06Z A Post-Processing Method for Three-Dimensional Electrical Impedance Tomography Martin, Sebastien; Choi, Charles T. M.
國立交通大學 2018-08-21T05:56:41Z A Mesh-Refinement Method Based on Artificial Neural Networks for Electrical Impedance Tomography Martin, Sebastien; Choi, Charles T. M.
國立交通大學 2018-08-21T05:54:00Z On the influence of spread constant in radial basis networks for electrical impedance tomography Martin, Sebastien; Choi, Charles T. M.
國立交通大學 2018-08-21T05:53:21Z A New Divide-and-Conquer Method for 3-D Electrical Impedance Tomography Martin, Sebastien; Choi, Charles T. M.
國立交通大學 2018-08-21T05:53:01Z A novel post-processing scheme for two-dimensional electrical impedance tomography based on artificial neural networks Martin, Sebastien; Choi, Charles T. M.
國立交通大學 2017-04-21T06:49:20Z Nonlinear Electrical Impedance Tomography Reconstruction Using Artificial Neural Networks and Particle Swarm Optimization Martin, Sebastien; Choi, Charles T. M.
國立交通大學 2017-04-21T06:49:10Z On the influence of spread constant in radial basis networks for electrical impedance tomography Martin, Sebastien; Choi, Charles T. M.
國立交通大學 2015-07-21T08:30:52Z Electrical Impedance Tomography: A Reconstruction Method Based on Neural Networks and Particle Swarm Optimization Martin, Sebastien; Choi, Charles T. M.

Showing items 1-9 of 9  (1 Page(s) Totally)
1 
View [10|25|50] records per page