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

العلاقة: https://ieeexplore.ieee.org/document/10230299Test/; https://doaj.org/toc/2151-1535Test

الوصول الحر: https://doaj.org/article/be9182a5608040ae85cf4987ef955664Test

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

الإتاحة: https://doi.org/10.3390/app11031226Test

المؤلفون: Paolo Dell’Aversana, Gianluca Gabbriellini, Alfonso Iunio Marini, Alfonso Amendola

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

الوصول الحر: https://doaj.org/article/e0f7ce7e975d443a82ac4101cc013a29Test

المؤلفون: Runhai Feng, Dario Grana, Niels Balling, Thomas Mejer Hansen, Jesper Sören Dramsch

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

المؤلفون: Feng, Runhai, Balling, Niels, Grana, Dario, Dramsch, Jesper Soren, Hansen, Thomas Mejer

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

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

المؤلفون: Alfonso Amendola, Paolo Dell'Aversana, Alfonso Iunio Marini, Gianluca Gabbriellini

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