المؤلفون: Dash, Tushara Sagar^Aff12, Mahara, Tripti^Aff12, Majumder, Madhumita Guha^Aff12

المساهمون: Kacprzyk, Janusz, Series Editor^Aff1, Gomide, Fernando, Advisory Editor^Aff2, Kaynak, Okyay, Advisory Editor^Aff3, Liu, Derong, Advisory Editor^Aff4, Pedrycz, Witold, Advisory Editor^Aff5, Polycarpou, Marios M., Advisory Editor^Aff6, Rudas, Imre J., Advisory Editor^Aff7, Wang, Jun, Advisory Editor^Aff8, Pant, Millie, editor^Aff9, Deep, Kusum, editor^Aff10, Nagar, Atulya, editor^Aff11

المصدر: Proceedings of the 12th International Conference on Soft Computing for Problem Solving : SocProS 2023, Volume 1. 994:449-462

المؤلفون: Neelakantan, Suraj, 1994, Norell, Jesper, Hansson, Alexander, Längkvist, Martin, 1983, Loutfi, Amy, 1978

المصدر: Applied Computing and Geosciences. 21

مصطلحات موضوعية: Mineral identification, Unsupervised domain adaptation, Deep convolutional neural network, Semantic segmentation, Euhedral pyrites, Computer Science, Datavetenskap

وصف الملف: print

URL الوصول: https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-111189
https://doi.org/10.1016/j.acags.2023.100153

المؤلفون: Yiwu, Xiao^Aff13146

المساهمون: Kuangdi, Xu, editor^Aff1

المصدر: The ECPH Encyclopedia of Mining and Metallurgy. :1287-1289

المؤلفون: Suraj Neelakantan, Jesper Norell, Alexander Hansson, Martin Längkvist, Amy Loutfi

المصدر: Applied Computing and Geosciences, Vol 21, Iss , Pp 100153- (2024)

مصطلحات موضوعية: Mineral identification, Unsupervised domain adaptation, Deep convolutional neural network, Semantic segmentation, Euhedral pyrites, Geography. Anthropology. Recreation, Geology, QE1-996.5, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590197423000423; https://doaj.org/toc/2590-1974

URL الوصول: https://doaj.org/article/dad60f1ed1034cf1b765262bce893ba6

المؤلفون: Xiaohui Ji, Kaiwen Liang, Yang Yang, Mei Yang, Mingyue He, Zhaochong Zhang, Shan Zeng, Yuzhu Wang

المصدر: Minerals, Vol 14, Iss 6, p 627 (2024)

مصطلحات موضوعية: mineral identification, deep learning, out-of-distribution detection, one-class support vector machine (OCSVM), ResNet, Mineralogy, QE351-399.2

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2075-163X/14/6/627; https://doaj.org/toc/2075-163X

URL الوصول: https://doaj.org/article/e481c8206ff84121bd57452c412df97f

المؤلفون: Lukose, Libeesh^{Aff1, IDs12040023020950_cor1}, Dutta, Dibyendu, Rajkakati, Mayashri, Guha, Arindam, Bhowmik, Santanu Kumar

المصدر: Journal of Earth System Science: Published by the Indian Academy of Sciences. 132(3)

المؤلفون: Naseri, Amineh^{Aff1, IDs12652021034745_cor1}, Rezaei Nasab, Ali

المصدر: Journal of Ambient Intelligence and Humanized Computing. 14(4):3369-3381

المؤلفون: Lita, B., Curtiss, B., Fager, G. A., Feldman, L., Parks, S. M., Tanguay, K. B.

المصدر: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2018 - 2018 IEEE International. :3408-3411 Jul, 2018

Relation: IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium

المؤلفون: Razzhivina, D. I., Korshunov, D. M., Boguslavsky, M. A., Khvostikov, A. V., Sorokin, D. V.^{Aff1, IDs1059802409592x_cor5}

المصدر: Computational Mathematics and Modeling. 34(1):16-26

المؤلفون: Papenfua, Anne, Frei, Michaela, Meyer, Uwe, Seht, Malte Ibs-von

المصدر: 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Geoscience and Remote Sensing Symposium (IGARSS), 2017 IEEE International. :4489-4492 Jul, 2017

Relation: IGARSS 2017 - 2017 IEEE International Geoscience and Remote Sensing Symposium