{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T15:03:33Z","timestamp":1782313413936,"version":"3.54.5"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation through the Civil, Mechanical and Manufacturing Innovation","doi-asserted-by":"publisher","award":["1742656"],"award-info":[{"award-number":["1742656"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Extreme Science and Engineering Discovery Environment","award":["ACI-1548562"],"award-info":[{"award-number":["ACI-1548562"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3123501","type":"journal-article","created":{"date-parts":[[2021,10,27]],"date-time":"2021-10-27T19:43:32Z","timestamp":1635363812000},"page":"150623-150636","source":"Crossref","is-referenced-by-count":36,"title":["Image-Data-Driven Slope Stability Analysis for Preventing Landslides Using Deep Learning"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1734-2176","authenticated-orcid":false,"given":"Behnam","family":"Azmoon","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8610-6185","authenticated-orcid":false,"given":"Aynaz","family":"Biniyaz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1086-8017","authenticated-orcid":false,"given":"Ye","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref38","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.catena.2019.104451"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10706-021-01921-w"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCP.2015.7312681"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2016.08.009"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1038\/nature14539"},{"key":"ref36","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/s10706-018-0615-7"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0887-3801(1994)8:2(131)"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.geomorph.2009.06.006"},{"key":"ref29","article-title":"An introduction to convolutional neural networks","author":"o\u2019shea","year":"2015","journal-title":"arXiv 1511 08458"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3133\/ofr01276"},{"key":"ref1","first-page":"20","article-title":"Landslide types and processes","volume":"24","author":"varnes","year":"1958","journal-title":"Landslides Eng Pract"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/DICTA.2016.7797053"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.10.006"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-020-09825-6"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-014-0007-7"},{"key":"ref23","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10706-011-9451-8"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)1532-3641(2002)2:2(153)"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1680\/geot.1965.15.1.79"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00052"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/0013-7952(80)90003-4"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/0148-9062(74)90613-5"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compgeo.2006.10.011"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.enggeo.2014.11.007"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1108\/02644401111118132"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1111\/0885-9507.00206"},{"key":"ref17","article-title":"Study for application of artificial neural networks in geotechnical problems","author":"park","year":"2011","journal-title":"Applications of Artificial Neural Networks"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.compgeo.2008.03.006"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2014.10.007"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.enggeo.2004.06.001"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.enggeo.2006.03.004"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1680\/geot.1975.25.4.671"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1680\/geot.1960.10.4.129"},{"key":"ref8","first-page":"445","article-title":"Calculation of stability of earth dam","volume":"4","author":"fellenius","year":"1936","journal-title":"Proc 2nd Congr Large Dams"},{"key":"ref7","first-page":"1245","article-title":"A review of current methods for slope stability evaluation","volume":"16","author":"pourkhosravani","year":"2011","journal-title":"Electron J Geotech Eng"},{"key":"ref49","year":"2021","journal-title":"A Software for Slope Stability Analysis"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1680\/geot.1955.5.1.7"},{"key":"ref46","year":"1999"},{"key":"ref45","author":"peck","year":"1974","journal-title":"Foundation Engineering"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)GT.1943-5606.0000938"},{"key":"ref47","article-title":"ADADELTA: An adaptive learning rate method","author":"zeiler","year":"2012","journal-title":"arXiv 1212 5701"},{"key":"ref42","first-page":"1","article-title":"High performance convolutional neural networks for document processing","author":"chellapilla","year":"2006","journal-title":"Proc Int'l Workshop Frontiers in Handwriting Recognition"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_00990"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)GT.1943-5606.0000251"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.enggeo.2020.105968"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/6287639\/9312710\/9590569-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09590569.pdf?arnumber=9590569","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,8]],"date-time":"2022-04-08T18:53:43Z","timestamp":1649444023000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9590569\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":49,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3123501","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021]]}}}