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1دورية أكاديمية
المؤلفون: Kewen Li, Wenlong Liu, Yimin Dou, Zhifeng Xu, Hongjie Duan, Ruilin Jing
المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 7838-7849 (2023)
مصطلحات موضوعية: Contrastive learning, deep learning, seismic facies classification, seismic interpretation, semisupervised learning, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809
وصف الملف: electronic resource
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2دورية أكاديمية
المؤلفون: Abd Al-Salam Al-Masgari, Mohamed Elsaadany, Abdul Halim Abdul Latiff, Maman Hermana, Umar Bin Hamzah, IsmailAlwali Babikir, Teslim Adeleke, Qazi Sohail Imran, Mohammed Ali Mohammed Al-Bared
المصدر: Applied Sciences; Volume 11; Issue 3; Pages: 1226
مصطلحات موضوعية: taranaki basin, seismic sequence stratigraphy, seismic facies classification, and isochron maps
جغرافية الموضوع: agris
وصف الملف: application/pdf
العلاقة: Earth Sciences and Geography; https://dx.doi.org/10.3390/app11031226Test
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3دورية أكاديمية
المصدر: AIMS Geosciences, Vol 2, Iss 4, Pp 413-425 (2016)
مصطلحات موضوعية: Seismic facies classification, sonification, audio video display, spectral decomposition, pattern recognition, musical information retrieval, MIDI, Geology, QE1-996.5
وصف الملف: electronic resource
العلاقة: http://www.aimspress.com/geosciences/article/1159/fulltext.htmlTest; https://doaj.org/toc/2471-2132Test
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المصدر: Feng, R, Balling, N, Grana, D, Dramsch, J S & Hansen, T M 2021, ' Bayesian Convolutional Neural Networks for Seismic Facies Classification ', IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 10, pp. 8933-8940 . https://doi.org/10.1109/TGRS.2020.3049012Test
مصطلحات موضوعية: Rocks, uncertainty quantification, Computer science, Bayesian probability, Posterior probability, Initialization, Convolutional neural network, Physics::Geophysics, Bayesian convolutional neural networks, Training, Electrical and Electronic Engineering, Training data, seismic facies classification, Artificial neural network, business.industry, Deep learning, Uncertainty, Monte Carlo methods, Pattern recognition, variational approach, Bayes methods, Backpropagation, Facies, General Earth and Planetary Sciences, Artificial intelligence, business
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c20d7eab341a81b9802188dbe53f954Test
https://doi.org/10.1109/tgrs.2020.3049012Test -
5دورية أكاديمية
المصدر: Feng , R , Balling , N , Grana , D , Dramsch , J S & Hansen , T M 2021 , ' Bayesian Convolutional Neural Networks for Seismic Facies Classification ' , IEEE Transactions on Geoscience and Remote Sensing , vol. 59 , no. 10 , pp. 8933-8940 . https://doi.org/10.1109/TGRS.2020.3049012Test
مصطلحات موضوعية: Bayes methods, Bayesian convolutional neural networks, Deep learning, Monte Carlo methods, Rocks, seismic facies classification, Training, Training data, Uncertainty, uncertainty quantification, variational approach.
الإتاحة: https://doi.org/10.1109/TGRS.2020.3049012Test
https://pure.au.dk/portal/da/publications/bayesian-convolutional-neural-networks-forTest-seismic-facies-classification(c305f424-8a76-4a8b-b95b-f7d7363a65a6).html
http://www.scopus.com/inward/record.url?scp=85100493547&partnerID=8YFLogxKTest -
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المؤلفون: Mohamed Elsaadany, Ismailalwali A. M. Babikir, Teslim Adeleke, Mohammed Ali Mohammed Al-Bared, Umar Hamzah, Abd Al-Salam Al-Masgari, Abdul Halim Abdul Latiff, Qazi Sohail Imran, Maman Hermana
المصدر: Applied Sciences
Volume 11
Issue 3
Applied Sciences, Vol 11, Iss 1226, p 1226 (2021)مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, Well logging, 010502 geochemistry & geophysics, lcsh:Technology, 01 natural sciences, lcsh:Chemistry, Sedimentary depositional environment, Paleontology, Sequence (geology), General Materials Science, Sequence stratigraphy, lcsh:QH301-705.5, Instrumentation, 0105 earth and related environmental sciences, Fluid Flow and Transfer Processes, Feature (archaeology), seismic facies classification, lcsh:T, Process Chemistry and Technology, seismic sequence stratigraphy, General Engineering, Taranaki Basin, and isochron maps, lcsh:QC1-999, Computer Science Applications, lcsh:Biology (General), lcsh:QD1-999, lcsh:TA1-2040, Section (archaeology), Period (geology), lcsh:Engineering (General). Civil engineering (General), lcsh:Physics, Geology, taranaki basin
وصف الملف: application/pdf
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2334ae52660ea0713593d4cab85dca93Test
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المصدر: AIMS Geosciences, Vol 2, Iss 4, Pp 413-425 (2016)
مصطلحات موضوعية: Melody, Seismic facies classification, audio video display, Speech recognition, musical information retrieval, Histogram, sonification, MIDI, Digital audio, Artificial neural network, business.industry, pattern recognition, lcsh:QE1-996.5, Pattern recognition, General Medicine, computer.file_format, Data set, lcsh:Geology, Geography, ComputingMethodologies_PATTERNRECOGNITION, Sonification, spectral decomposition, Pattern recognition (psychology), Artificial intelligence, business, computer
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ede4ff8a61452374abcbb764535345aTest
http://www.aimspress.com/geosciences/article/1159/fulltext.htmlTest