{"id":"https://openalex.org/W3126580745","doi":"https://doi.org/10.1109/ickii50300.2020.9318930","title":"Rainfall Forecasting of Landslides Using Support Vector Regression","display_name":"Rainfall Forecasting of Landslides Using Support Vector Regression","publication_year":2020,"publication_date":"2020-08-21","ids":{"openalex":"https://openalex.org/W3126580745","doi":"https://doi.org/10.1109/ickii50300.2020.9318930","mag":"3126580745"},"language":"en","primary_location":{"id":"doi:10.1109/ickii50300.2020.9318930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ickii50300.2020.9318930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"202020 3rd IEEE International Conference on Knowledge Innovation and Invention (ICKII)","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/A5089372700","display_name":"Zne-Jung Lee","orcid":"https://orcid.org/0000-0002-8791-9276"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zne-Jung Lee","raw_affiliation_strings":["School of Technology, Fuzhou University of International Studies and Trade, Fuzhou, Fujian, China"],"affiliations":[{"raw_affiliation_string":"School of Technology, Fuzhou University of International Studies and Trade, Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004447233","display_name":"Chou\u2010Yuan Lee","orcid":"https://orcid.org/0000-0003-2786-2068"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chou-Yuan Lee","raw_affiliation_strings":["School of Technology, Fuzhou University of International Studies and Trade, Fuzhou, Fujian, China"],"affiliations":[{"raw_affiliation_string":"School of Technology, Fuzhou University of International Studies and Trade, Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005004641","display_name":"Xiaojian Yuan","orcid":"https://orcid.org/0000-0002-9434-2962"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Jian Yuan","raw_affiliation_strings":["School of Technology, Fuzhou University of International Studies and Trade, Fuzhou, Fujian, China"],"affiliations":[{"raw_affiliation_string":"School of Technology, Fuzhou University of International Studies and Trade, Fuzhou, Fujian, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024957884","display_name":"Kuo\u2010Chung Chu","orcid":"https://orcid.org/0000-0001-5390-516X"},"institutions":[{"id":"https://openalex.org/I191969501","display_name":"National Taipei University of Nursing and Health Science","ror":"https://ror.org/019z71f50","country_code":"TW","type":"education","lineage":["https://openalex.org/I191969501"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuo-Chung Chu","raw_affiliation_strings":["National Taipei University of Nursing and Health Sciences, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taipei University of Nursing and Health Sciences, Taipei, Taiwan","institution_ids":["https://openalex.org/I191969501"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089372700"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":1.942,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.90393006,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"26","issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9994000196456909,"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":0.9994000196456909,"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.967199981212616,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/T10644","display_name":"Cryospheric studies and observations","score":0.940500020980835,"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/landslide","display_name":"Landslide","score":0.9452683329582214},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5628873705863953},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5428348779678345},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5214173793792725},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.510298490524292},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.41898313164711},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3100234270095825},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.26295751333236694},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1787978708744049},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17163151502609253},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.14665716886520386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13842803239822388},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10671454668045044}],"concepts":[{"id":"https://openalex.org/C186295008","wikidata":"https://www.wikidata.org/wiki/Q167903","display_name":"Landslide","level":2,"score":0.9452683329582214},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5628873705863953},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5428348779678345},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5214173793792725},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.510298490524292},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.41898313164711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3100234270095825},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.26295751333236694},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1787978708744049},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17163151502609253},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.14665716886520386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13842803239822388},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10671454668045044}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ickii50300.2020.9318930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ickii50300.2020.9318930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"202020 3rd IEEE International Conference on Knowledge Innovation and Invention (ICKII)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W980969618","https://openalex.org/W1994073706","https://openalex.org/W2115354336","https://openalex.org/W2321649594","https://openalex.org/W2600250093","https://openalex.org/W2736291593","https://openalex.org/W2771458228","https://openalex.org/W2791501558","https://openalex.org/W2799941147","https://openalex.org/W2803626853","https://openalex.org/W2807880651","https://openalex.org/W2897446518","https://openalex.org/W2897897407","https://openalex.org/W2899626669","https://openalex.org/W2904698499","https://openalex.org/W2935484715","https://openalex.org/W2968442977","https://openalex.org/W2972360550","https://openalex.org/W2985293211","https://openalex.org/W2998891041","https://openalex.org/W6749301754","https://openalex.org/W6761323047","https://openalex.org/W6768262015"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2389676928","https://openalex.org/W3169474304","https://openalex.org/W2369104181","https://openalex.org/W3201652628","https://openalex.org/W4212972401","https://openalex.org/W2088241642","https://openalex.org/W2348064372","https://openalex.org/W4283017276","https://openalex.org/W2018410291"],"abstract_inverted_index":{"Natural":[0],"disasters":[1],"caused":[2],"by":[3],"landslides":[4,34,66,82],"cause":[5],"many":[6],"losses":[7],"in":[8,35],"agricultural":[9],"production,":[10],"life,":[11],"and":[12,54],"property.":[13],"The":[14,38],"Sustainable":[15],"Development":[16],"Research":[17],"Center":[18],"of":[19,52,57,65,81,115],"Slope":[20],"Land":[21],"(SDRCSL)":[22],"built":[23],"a":[24],"weather":[25,43],"station":[26,44],"with":[27,99],"inclinometers":[28],"to":[29],"provide":[30,104],"early":[31],"warning":[32],"for":[33,112],"Huafan":[36],"University.":[37],"collected":[39],"data":[40,96],"from":[41],"the":[42,50,55,58,75,84,102,105],"include":[45],"insolation,":[46],"rainfall,":[47],"temperature,":[48],"humidity,":[49],"speed":[51],"wind,":[53],"tilt":[56],"slope.":[59],"In":[60,74],"this":[61],"paper,":[62],"rainfall":[63,80,113],"forecasting":[64,114],"using":[67],"support":[68],"vector":[69],"regression":[70],"(SVR)":[71],"is":[72],"proposed.":[73],"proposed":[76],"method,":[77],"SVR":[78],"forecasts":[79],"on":[83],"Apache":[85,88],"Spark":[86,89],"platform.":[87],"can":[90],"carry":[91],"out":[92],"parallel":[93],"in-memory":[94],"large-scale":[95],"processing.":[97],"Compared":[98],"other":[100],"methods,":[101],"results":[103],"smallest":[106],"root":[107],"mean":[108],"square":[109],"error":[110],"(RMSE)":[111],"landslides.":[116]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}