{"id":"https://openalex.org/W4402513356","doi":"https://doi.org/10.1145/3688574.3688592","title":"Comparative Landslide Hazard Detection Analysis Based on ResNet and CNN","display_name":"Comparative Landslide Hazard Detection Analysis Based on ResNet and CNN","publication_year":2024,"publication_date":"2024-07-24","ids":{"openalex":"https://openalex.org/W4402513356","doi":"https://doi.org/10.1145/3688574.3688592"},"language":"en","primary_location":{"id":"doi:10.1145/3688574.3688592","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3688574.3688592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 6th International Conference on Big Data Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036059726","display_name":"Xuegang Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xuegang Zhang","raw_affiliation_strings":["Qinghai Minzu University, China"],"affiliations":[{"raw_affiliation_string":"Qinghai Minzu University, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105789174","display_name":"Tao Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["National Demonstration Center for Experimental Communication Engineering Education, Qinghai Minzu University?Key Laboratory of Communication Engineering, Qinghai Minzu University, Qinghai Minzu University, China"],"affiliations":[{"raw_affiliation_string":"National Demonstration Center for Experimental Communication Engineering Education, Qinghai Minzu University?Key Laboratory of Communication Engineering, Qinghai Minzu University, Qinghai Minzu University, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112691912","display_name":"Yubo Wang","orcid":"https://orcid.org/0009-0001-4300-9203"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yubo Wang","raw_affiliation_strings":["Qinghai Minzu University, China"],"affiliations":[{"raw_affiliation_string":"Qinghai Minzu University, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036059726"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4994,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.85647243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"126","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14042","display_name":"Technology and Security Systems","score":0.9340000152587891,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.933899998664856,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.8404064178466797},{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.6929447650909424},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.643665075302124},{"id":"https://openalex.org/keywords/hazard","display_name":"Hazard","score":0.4759935140609741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46436306834220886},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.2135084569454193},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19416749477386475},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.08933976292610168}],"concepts":[{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.8404064178466797},{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.6929447650909424},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.643665075302124},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.4759935140609741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46436306834220886},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2135084569454193},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19416749477386475},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.08933976292610168},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3688574.3688592","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3688574.3688592","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 6th International Conference on Big Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1981276685","https://openalex.org/W2240536489","https://openalex.org/W2420085356","https://openalex.org/W2807793257","https://openalex.org/W3011372313","https://openalex.org/W3118459932","https://openalex.org/W3130710265","https://openalex.org/W3146366485","https://openalex.org/W3202069230","https://openalex.org/W3209169151","https://openalex.org/W4200013827","https://openalex.org/W4205581135","https://openalex.org/W4300562600","https://openalex.org/W4382399592"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2389676928","https://openalex.org/W3169474304","https://openalex.org/W2369104181","https://openalex.org/W2737009688","https://openalex.org/W2616275900","https://openalex.org/W2389665785","https://openalex.org/W2622291647","https://openalex.org/W2614231491"],"abstract_inverted_index":{"Landslide":[0],"hazard":[1,34,71],"prediction":[2],"is":[3,108],"crucial":[4],"for":[5,25,47,49,80],"disaster":[6],"prevention":[7],"and":[8,21,64,93,95,135,148],"risk":[9],"management.":[10],"The":[11,139],"rapid":[12],"development":[13],"of":[14,32,59,83,103,137],"deep":[15,77],"learning":[16,78],"technology":[17],"provides":[18],"a":[19],"low-cost":[20],"efficient":[22],"detection":[23,82,116],"method":[24],"landslide":[26,33,70,84],"detection,":[27,35],"but":[28],"in":[29,69],"the":[30,57,100,119,125,144,149,152],"field":[31],"there":[36],"are":[37,87,99],"few":[38],"articles":[39],"that":[40,110],"use":[41],"multiple":[42],"neural":[43],"network":[44,105],"models":[45,79,113],"simultaneously":[46],"landslides":[48],"comparative":[50,81],"detection.":[51,72],"This":[52,73],"study":[53],"aims":[54],"to":[55],"investigate":[56],"effectiveness":[58],"Convolutional":[60,89],"Neural":[61,90],"Networks":[62,67,91],"(CNN)":[63],"Deep":[65],"Residual":[66],"(ResNet)":[68],"design":[74],"proposes":[75],"three":[76,112],"hazards,":[85],"which":[86,98],"12-layer":[88],"(CNN-12)":[92],"ResNet18":[94,120],"ResNet50":[96,150],"models,":[97],"more":[101],"classical":[102],"ResNet":[104],"models.":[106],"It":[107],"found":[109],"all":[111],"have":[114],"good":[115],"results,":[117],"with":[118,128],"model":[121,142],"performing":[122],"best":[123,146],"on":[124],"validation":[126],"set,":[127],"99.95%":[129],"recognition":[130],"accuracy,":[131],"F1":[132],"score,":[133],"recall,":[134],"precision":[136],"1.":[138],"self-designed":[140],"CNN-12":[141],"has":[143,151],"next":[145],"performance,":[147],"worst":[153],"performance.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}
