{"id":"https://openalex.org/W4367359434","doi":"https://doi.org/10.1109/tgrs.2023.3241068","title":"BTRPP: A Rapid PGA Prediction Model Based on Machine Learning","display_name":"BTRPP: A Rapid PGA Prediction Model Based on Machine Learning","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4367359434","doi":"https://doi.org/10.1109/tgrs.2023.3241068"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2023.3241068","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tgrs.2023.3241068","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5035191553","display_name":"Tao Ren","orcid":"https://orcid.org/0000-0003-0087-1730"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Ren","raw_affiliation_strings":["Institute of Network Science and Big Data Technology, Software College, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-0087-1730","affiliations":[{"raw_affiliation_string":"Institute of Network Science and Big Data Technology, Software College, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317569","display_name":"Pengyu Wang","orcid":"https://orcid.org/0000-0002-5528-6902"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengyu Wang","raw_affiliation_strings":["Institute of Network Science and Big Data Technology, Software College, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-5528-6902","affiliations":[{"raw_affiliation_string":"Institute of Network Science and Big Data Technology, Software College, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034618178","display_name":"Hongfeng Chen","orcid":"https://orcid.org/0000-0002-1817-0492"},"institutions":[{"id":"https://openalex.org/I4210118281","display_name":"National Earthquake Response Support Service","ror":"https://ror.org/02gzvm828","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118281"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfeng Chen","raw_affiliation_strings":["China Earthquake Networks Center, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1817-0492","affiliations":[{"raw_affiliation_string":"China Earthquake Networks Center, Beijing, China","institution_ids":["https://openalex.org/I4210118281"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078101971","display_name":"Xinliang Liu","orcid":"https://orcid.org/0000-0001-6005-2708"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinliang Liu","raw_affiliation_strings":["Institute of Network Science and Big Data Technology, Software College, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-6005-2708","affiliations":[{"raw_affiliation_string":"Institute of Network Science and Big Data Technology, Software College, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062718123","display_name":"Fanchun Meng","orcid":"https://orcid.org/0009-0007-6870-1291"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanchun Meng","raw_affiliation_strings":["Institute of Network Science and Big Data Technology, Software College, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Network Science and Big Data Technology, Software College, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074732322","display_name":"Yanlu Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210118281","display_name":"National Earthquake Response Support Service","ror":"https://ror.org/02gzvm828","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118281"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanlu Ma","raw_affiliation_strings":["China Earthquake Networks Center, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Earthquake Networks Center, Beijing, China","institution_ids":["https://openalex.org/I4210118281"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6345,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7194787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"61","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10535","display_name":"Landslides and related hazards","score":0.9944000244140625,"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/T11483","display_name":"Tropical and Extratropical Cyclones Research","score":0.9832000136375427,"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/interpretability","display_name":"Interpretability","score":0.7585285902023315},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6507525444030762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.631734311580658},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5934075117111206},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5324569344520569},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5016489028930664},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.4882681369781494},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47321978211402893},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.44977283477783203},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.4391346871852875},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.4210565686225891},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4147120416164398},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.382244348526001},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3615725636482239},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24129065871238708},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15599411725997925}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7585285902023315},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6507525444030762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.631734311580658},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5934075117111206},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5324569344520569},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5016489028930664},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.4882681369781494},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47321978211402893},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.44977283477783203},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.4391346871852875},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.4210565686225891},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4147120416164398},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.382244348526001},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3615725636482239},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24129065871238708},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15599411725997925},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2023.3241068","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tgrs.2023.3241068","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G1487046173","display_name":null,"funder_award_id":"61902057","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1890124515","display_name":null,"funder_award_id":"41774063","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G254111393","display_name":null,"funder_award_id":"2020-KF-12-11","funder_id":"https://openalex.org/F4320327473","funder_display_name":"Department of Science and Technology of Liaoning Province"},{"id":"https://openalex.org/G4043622831","display_name":null,"funder_award_id":"62276058","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6913211950","display_name":null,"funder_award_id":"N2217003","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327473","display_name":"Department of Science and Technology of Liaoning Province","ror":"https://ror.org/02f09cx53"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1701825639","https://openalex.org/W1993620114","https://openalex.org/W1993912260","https://openalex.org/W2011730493","https://openalex.org/W2040622309","https://openalex.org/W2055534279","https://openalex.org/W2056038273","https://openalex.org/W2095411686","https://openalex.org/W2117561707","https://openalex.org/W2131241448","https://openalex.org/W2147185485","https://openalex.org/W2200344242","https://openalex.org/W2344101477","https://openalex.org/W2732719441","https://openalex.org/W2897402093","https://openalex.org/W2899283552","https://openalex.org/W2903747695","https://openalex.org/W2913447624","https://openalex.org/W2921873091","https://openalex.org/W2943227802","https://openalex.org/W2980395728","https://openalex.org/W2987173766","https://openalex.org/W2992786058","https://openalex.org/W3006351417","https://openalex.org/W3021034800","https://openalex.org/W3033495728","https://openalex.org/W3035647460","https://openalex.org/W3080809230","https://openalex.org/W3084541745","https://openalex.org/W3102041920","https://openalex.org/W3138572625","https://openalex.org/W4362640917","https://openalex.org/W6637653338","https://openalex.org/W6677764299","https://openalex.org/W6678911119","https://openalex.org/W6851878683"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4311431240","https://openalex.org/W4312407344","https://openalex.org/W4384115502","https://openalex.org/W4226258012","https://openalex.org/W4383681494"],"abstract_inverted_index":{"Peak":[0],"ground":[1],"acceleration":[2],"(PGA)":[3],"is":[4,104,153],"a":[5,18,39],"critical":[6],"parameter":[7],"in":[8,95,173],"the":[9,34,51,66,75,80,88,96,108,118,124,128,130,136,142,151,158,169,179],"postearthquake":[10],"intensity":[11],"snapshot.":[12],"In":[13],"this":[14,174],"article,":[15,175],"we":[16],"propose":[17],"Bagged":[19],"Tree":[20],"for":[21,69],"Rapid":[22],"PGA":[23,48,54,71,152],"Prediction":[24],"(BTRPP)":[25],"based":[26,43],"on":[27,44],"velocity":[28],"waveforms":[29],"recorded":[30],"at":[31],"stations":[32],"around":[33],"epicenter,":[35],"as":[36,38],"well":[37],"feature":[40,170],"pruning":[41,171],"algorithm":[42,172],"BTRPP":[45,90,131],"to":[46,64,87,106,138,144,157],"predict":[47],"and":[49,55,92,98,140,165],"analyze":[50],"relationship":[52],"between":[53],"manually":[56],"predefined":[57],"features.":[58],"The":[59,113],"research":[60],"not":[61],"only":[62],"aims":[63],"discover":[65],"best":[67],"model":[68],"forecasting":[70],"but":[72],"also":[73],"examines":[74],"impact":[76],"of":[77,82,111,127],"features":[78,94],"using":[79,117],"interpretability":[81],"some":[83],"models.":[84],"As":[85],"inputs":[86],"model,":[89],"uses":[91],"mixes":[93],"time":[97],"frequency":[99],"domains.":[100],"Bayesian":[101],"optimization":[102],"(BO)":[103],"used":[105],"find":[107],"optimum":[109],"hyperparameters":[110],"BTRPP.":[112],"results":[114,180],"demonstrate":[115],"that,":[116],"data":[119],"within":[120],"5":[121],"s":[122],"after":[123],"first":[125],"arrival":[126],"P-wave,":[129],"with":[132],"BO":[133],"can":[134],"reduce":[135],"RMSE":[137],"0.2076":[139],"enhance":[141],"R-square":[143],"0.91.":[145],"It":[146],"is,":[147],"finally,":[148],"found":[149],"that":[150,178],"most":[154],"closely":[155],"related":[156],"average":[159,162],"positive":[160],"amplitude,":[161,164],"negative":[163],"spectral":[166],"slope":[167],"through":[168],"which":[176],"indicates":[177],"are":[181],"plausible.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}