{"id":"https://openalex.org/W2998891041","doi":"https://doi.org/10.1109/icmlc48188.2019.8949267","title":"Using Neural Networks to Label Rain Warning for Natural Hazard of Slope","display_name":"Using Neural Networks to Label Rain Warning for Natural Hazard of Slope","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2998891041","doi":"https://doi.org/10.1109/icmlc48188.2019.8949267","mag":"2998891041"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc48188.2019.8949267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc48188.2019.8949267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102258589","display_name":"Cheng-Yuan Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I202968851","display_name":"Huafan University","ror":"https://ror.org/02x5hb316","country_code":"TW","type":"education","lineage":["https://openalex.org/I202968851"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Yuan Tang","raw_affiliation_strings":["Huafan University,Department of Information Management,New Taipei,Taiwan","Department of Information Management, Huafan University, New Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huafan University,Department of Information Management,New Taipei,Taiwan","institution_ids":["https://openalex.org/I202968851"]},{"raw_affiliation_string":"Department of Information Management, Huafan University, New Taipei, Taiwan","institution_ids":["https://openalex.org/I202968851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113801313","display_name":"Whei-Wen Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I202968851","display_name":"Huafan University","ror":"https://ror.org/02x5hb316","country_code":"TW","type":"education","lineage":["https://openalex.org/I202968851"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Whei-Wen Cheng","raw_affiliation_strings":["Huafan University,Department of Mechatronic Engineering,New Taipei,Taiwan","Department of Mechatronic Engineering, Huafan University, New Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huafan University,Department of Mechatronic Engineering,New Taipei,Taiwan","institution_ids":["https://openalex.org/I202968851"]},{"raw_affiliation_string":"Department of Mechatronic Engineering, Huafan University, New Taipei, Taiwan","institution_ids":["https://openalex.org/I202968851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020761464","display_name":"Tzu-Yen Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I202968851","display_name":"Huafan University","ror":"https://ror.org/02x5hb316","country_code":"TW","type":"education","lineage":["https://openalex.org/I202968851"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tzu-Yen Hsu","raw_affiliation_strings":["Huafan University,Department of Mechatronic Engineering,New Taipei,Taiwan","Department of Mechatronic Engineering, Huafan University, New Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huafan University,Department of Mechatronic Engineering,New Taipei,Taiwan","institution_ids":["https://openalex.org/I202968851"]},{"raw_affiliation_string":"Department of Mechatronic Engineering, Huafan University, New Taipei, Taiwan","institution_ids":["https://openalex.org/I202968851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004598919","display_name":"Ching-Jiang Jeng","orcid":"https://orcid.org/0000-0002-4179-6143"},"institutions":[{"id":"https://openalex.org/I202968851","display_name":"Huafan University","ror":"https://ror.org/02x5hb316","country_code":"TW","type":"education","lineage":["https://openalex.org/I202968851"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Jiang Jeng","raw_affiliation_strings":["Huafan University,Department of Environmental and Hazards-Resistant Design,New Taipei,Taiwan","Department of Environmental and Hazards-Resistant Design, Huafan University, New Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huafan University,Department of Environmental and Hazards-Resistant Design,New Taipei,Taiwan","institution_ids":["https://openalex.org/I202968851"]},{"raw_affiliation_string":"Department of Environmental and Hazards-Resistant Design, Huafan University, New Taipei, Taiwan","institution_ids":["https://openalex.org/I202968851"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002503247","display_name":"Yi-Leh Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Leh Wu","raw_affiliation_strings":["National Taiwan University of Science and Technology,Department of Computer Science and Information Engineering,Taipei,Taiwan","Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology,Department of Computer Science and Information Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I154864474"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.265,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.89769108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9994999766349792,"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":0.9994999766349792,"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/T12729","display_name":"Tree Root and Stability Studies","score":0.973800003528595,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/landslide","display_name":"Landslide","score":0.7043063640594482},{"id":"https://openalex.org/keywords/inclinometer","display_name":"Inclinometer","score":0.6213778257369995},{"id":"https://openalex.org/keywords/warning-system","display_name":"Warning system","score":0.598181962966919},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.597502589225769},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5950382947921753},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.573479413986206},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5671353936195374},{"id":"https://openalex.org/keywords/hazard","display_name":"Hazard","score":0.5478656888008118},{"id":"https://openalex.org/keywords/natural-hazard","display_name":"Natural hazard","score":0.4829927682876587},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.41035956144332886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38583219051361084},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3354535400867462},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21474111080169678},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16433799266815186},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.1572812795639038},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14053770899772644},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.12038770318031311},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09971675276756287},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09373626112937927}],"concepts":[{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.7043063640594482},{"id":"https://openalex.org/C158105764","wikidata":"https://www.wikidata.org/wiki/Q827664","display_name":"Inclinometer","level":2,"score":0.6213778257369995},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.598181962966919},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.597502589225769},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5950382947921753},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.573479413986206},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5671353936195374},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.5478656888008118},{"id":"https://openalex.org/C39410599","wikidata":"https://www.wikidata.org/wiki/Q3433179","display_name":"Natural hazard","level":2,"score":0.4829927682876587},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.41035956144332886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38583219051361084},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3354535400867462},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21474111080169678},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16433799266815186},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.1572812795639038},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14053770899772644},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.12038770318031311},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09971675276756287},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09373626112937927},{"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:10.1109/icmlc48188.2019.8949267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc48188.2019.8949267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W391985582","https://openalex.org/W1566309885","https://openalex.org/W2073424237","https://openalex.org/W2091336970","https://openalex.org/W2121495423","https://openalex.org/W2122410182","https://openalex.org/W2144499799","https://openalex.org/W2414185351","https://openalex.org/W2475539404","https://openalex.org/W2590925171","https://openalex.org/W2730386290","https://openalex.org/W6740746067"],"related_works":["https://openalex.org/W2021352207","https://openalex.org/W2371524298","https://openalex.org/W2897535180","https://openalex.org/W3124202442","https://openalex.org/W1964014370","https://openalex.org/W3133820020","https://openalex.org/W2153656222","https://openalex.org/W2734472795","https://openalex.org/W2618037934","https://openalex.org/W4245971732"],"abstract_inverted_index":{"The":[0,87,110],"landslides":[1],"and":[2,10,53,81,103,108,120],"flows":[3],"cause":[4],"significant":[5],"direct":[6],"damage":[7],"to":[8,49],"lives":[9],"property.":[11],"A":[12],"system":[13],"for":[14,24,35,41,56,68],"monitoring":[15],"these":[16],"signs":[17,34],"can":[18],"be":[19,50],"the":[20,28,33,45,70,77,82,127],"most":[21],"powerful":[22],"tool":[23],"disaster":[25,42,57],"prevention.":[26,43,58],"In":[27,59,126],"natural":[29],"hazard":[30],"of":[31,91,105],"slope,":[32],"rain":[36,46,71],"warning":[37,47],"is":[38,118,124,131],"very":[39],"useful":[40,54],"Labeling":[44],"seems":[48],"an":[51],"important":[52],"job":[55],"this":[60],"paper,":[61],"two":[62,74],"neural":[63],"network":[64],"models":[65,75],"are":[66,76],"used":[67],"labeling":[69],"warning.":[72],"These":[73],"multilayer":[78],"perceptron":[79],"(MLP)":[80],"long":[83],"short-term":[84],"memory":[85],"(LSTM).":[86],"raw":[88],"data":[89],"consist":[90],"four":[92],"observations":[93],"such":[94],"as":[95],"time":[96],"(time),":[97],"rainfall":[98],"(rain),":[99],"groundwater":[100],"level":[101],"(W1)":[102],"displacements":[104],"inclinometers":[106],"(SAA-11":[107],"SAA-20).":[109],"RMSE":[111,121],"(Root":[112],"Mean":[113],"Squared":[114],"Error)":[115],"using":[116,122],"LSTM":[117,130],"0.161":[119],"MLP":[123],"0.212.":[125],"experimental":[128],"results,":[129],"better":[132],"than":[133],"MLP.":[134]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}