LDR 00909naa#a2200241#i#450#
001     EN\\bibl\16944
005     20250929223335.1
100 ## _a20250913b2025####ek#y0engy0150####ca
102 ## _aRU
200 1# _aApplication of machine learning methods to analyze the presence of harmful impurities in the atmosphere based on spectral data
       _eConference article/thesis
210 1# _aTomsk
       _cV.E. Zuev Institute of Atmospheric Optics, Siberian Branch of the Russian Academy of Sciences
       _d2025
215 ## _a3 с.
606 ## _aФизика. 03.03.02
       _2local
608 ## _aConference article/thesis
       _2local
675 ## _aСпектральный анализ. 543.42
       _z
686 ## _aФизика. 223
       _2bbk
686 ## _aОптика. 6135
       _2tbk
686 ## _aОптика. 29.31
       _2grnti
700 #1 _aKozhevnikov
       _gF. A.
700 #1 _aKonnikova
       _gM. R.
700 #1 _aSin'ko
       _gA. S.
700 #1 _aAngeluc
       _gA. A.
856 4# _aiao.editorum.ru
       _u