المؤلفون: Sahar S. Matin, Biswajeet Pradhan

المصدر: Geocarto International, Vol 37, Iss 21, Pp 6186-6212 (2022)

مصطلحات موضوعية: earthquakes, building damage mapping, remote sensing, deep learning, Physical geography, GB3-5030

Relation: http://dx.doi.org/10.1080/10106049.2021.1933213; https://doaj.org/toc/1010-6049; https://doaj.org/toc/1752-0762; https://doaj.org/article/8eb05ba13a0d4684829577f09b3db72f

الاتاحة: https://doi.org/10.1080/10106049.2021.1933213
https://doaj.org/article/8eb05ba13a0d4684829577f09b3db72f

المؤلفون: Sahar S. Matin, Biswajeet Pradhan

المصدر: Sensors; Volume 21; Issue 13; Pages: 4489

مصطلحات موضوعية: building-damage mapping, feature analysis, explainable AI, machine learning, remote sensing

وصف الملف: application/pdf

Relation: Remote Sensors; https://dx.doi.org/10.3390/s21134489

الاتاحة: https://doi.org/10.3390/s21134489

المؤلفون: Fang Chen, Bo Yu

المصدر: IEEE Access, Vol 7, Pp 181396-181404 (2019)

مصطلحات موضوعية: Building damage mapping, multi-task learning, deep learning framework, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/8931545/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/f0f0e1dbed21463a97ff98fff09b8bb9

المؤلفون: Bruno Adriano, Junshi Xia, Gerald Baier, Naoto Yokoya, Shunichi Koshimura

المصدر: Remote Sensing; Volume 11; Issue 7; Pages: 886

مصطلحات موضوعية: 2018 Sulawesi earthquake-tsunami, rapid building damage mapping, ensemble learning classifier

جغرافية الموضوع: agris

وصف الملف: application/pdf

Relation: Remote Sensing Image Processing; https://dx.doi.org/10.3390/rs11070886

الاتاحة: https://doi.org/10.3390/rs11070886

المؤلفون: Biswajeet Pradhan, S.S. Matin

المصدر: Sensors, Vol 21, Iss 4489, p 4489 (2021)
Sensors (Basel, Switzerland)
Sensors
Volume 21
Issue 13

مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, Computer science, media_common.quotation_subject, Reliability (computer networking), 0211 other engineering and technologies, 02 engineering and technology, TP1-1185, Machine learning, computer.software_genre, 01 natural sciences, Biochemistry, Article, Image (mathematics), Domain (software engineering), explainable AI, Analytical Chemistry, Machine Learning, remote sensing, Artificial Intelligence, Satellite image, Feature descriptor, Earthquakes, Quality (business), Electrical and Electronic Engineering, Instrumentation, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, media_common, feature analysis, business.industry, Chemical technology, Reproducibility of Results, Transparency (human–computer interaction), 0301 Analytical Chemistry, 0502 Environmental Science and Management, 0602 Ecology, 0805 Distributed Computing, 0906 Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, machine learning, Multilayer perceptron, building-damage mapping, Artificial intelligence, Neural Networks, Computer, business, computer

وصف الملف: Electronic; application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::998f5d1a55d2c025620e0dfe5ce09ba0
https://hdl.handle.net/10453/154678

المؤلفون: Franke, Kevin W., Candia, Gabriel, Mayoral, J.M., Wood, Clinton M., Montgomery, Jack, Hutchinson, Tara, Morales-Velez, Alesandra C.

مصطلحات موضوعية: Building damage mapping, Seismic foundation performance, Site response, Structural resonance

وصف الملف: 18 p.; application/pdf

Relation: Soil Dynamics and Earthquake Engineering 125 (2019); http://hdl.handle.net/11447/2877; http://dx.doi.org/10.1016/j.soildyn.2019.105708

الاتاحة: http://hdl.handle.net/11447/2877
https://doi.org/10.1016/j.soildyn.2019.105708