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Deep neural networks for plasma tomography with applications to JET and COMPASS
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$a 10.1088/1748-0221/14/09/C09011 $2 DOI 100 $a 20200305d m y slo 03 ba 101 $a eng 102 $a GB 200 1-
$a Deep neural networks for plasma tomography with applications to JET and COMPASS 215 $a 8 s. 463 -1
$1 001 cav_un_epca*0315479 $1 011 $a 1748-0221 $e 1748-0221 $1 200 1 $a Journal of Instrumentation $v Roč. 14, č. 9 (2019) $1 210 $c Institute of Physics Publishing 608 $a Conference Paper 610 $a Computerized Tomography (CT) and Computed Radiography (CR) 610 $a Plasma diagnostics-interferometry, spectroscopy and imaging 700 -1
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$3 cav_un_auth*0390375 $a Ferreira $b D. R. $y PT $q Culham Lab 701 -1
$3 cav_un_auth*0390376 $a Carvalho $b P. J. $y PT $q Culham Lab 701 -1
$3 cav_un_auth*0287248 $a Imríšek $b Martin $i Tokamak $j Tokamak $k TOK $l TOK $p UFP-V $w Tokamak $y CZ $q Culham Lab $T Ústav fyziky plazmatu AV ČR, v. v. i. 701 -1
$3 cav_un_auth*0101401 $a Mlynář $b Jan $i Tokamak $j Tokamak $k TOK $l TOK $p UFP-V $w Tokamak $y CZ $q Culham Lab $T Ústav fyziky plazmatu AV ČR, v. v. i. 701 -1
$3 cav_un_auth*0082390 $a Fernandes $b H. $y PT $q Culham Lab 856 $9 RIV $u https://iopscience.iop.org/article/10.1088/1748-0221/14/09/C09011/pdf
Number of the records: 1