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Accuracy assessment of various supervised machine learning algorithms in litho-facies classification from seismic data in the Penobscot field, Scotian Basin
Title Accuracy assessment of various supervised machine learning algorithms in litho-facies classification from seismic data in the Penobscot field, Scotian Basin Author info Satya Narayan ... [et al.] Author Narayan Satya (30%)
Co-authors Konka Suresh (15%)
Chandra Akash (10%)
Abdelrahman Kamal (5%)
Andráš Peter 1953- (30%) UMBFP01 - Katedra geografie a geológie
Eldosouky Ahmed M. (10%)
Source document Frontiers in Earth Science. Vol. 11 (2023), pp. [1-14]. - Lausanne : Frontiers Media S.A., 2023 Keywords strojové učenie - machine learning validácia - validation uhľovodíky Headings Geogr. Škótsko Form. Descr. články - journal articles Language English Country Switzerland URL Link na plný text Public work category ADC No. of Archival Copy 53323 Repercussion category KADRI, Mohamed Mehdi - GANGULI, Shib Sankar - SEN, Souvik - HACINI, Messaoud - KUMAR, Prakash. Characterization and feature ranking of well log variables using data-driven algorithms for total organic carbon estimation of organic-rich shales. In Energy and fuels. ISSN 0887-0624, 2023, vol. 37, no. 24, pp. 19575-19589.
CHANG, Jinyu - ZHANG, Nannan - ZHOU, Kefa - TAO, Jintao - CHEN, Li - ZHANG, Hao - CHI, Yujin. Apriori algorithm-based three-dimensional mineral prospectivity mapping-an example from meiling south area, Xinjiang, China. In Minerals. ISSN 2075-163X, 2023, vol. 13, no. 7, pp. 1-29.
Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ References PERIODIKÁ-Súborný záznam periodika 
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Number of the records: 1