{"id":"https://openalex.org/W4405601671","doi":"https://doi.org/10.1109/iotais64014.2024.10799342","title":"Seismic Ground Parameter Estimation in Cianjur Using Artificial Neural Network Method with PSO","display_name":"Seismic Ground Parameter Estimation in Cianjur Using Artificial Neural Network Method with PSO","publication_year":2024,"publication_date":"2024-11-28","ids":{"openalex":"https://openalex.org/W4405601671","doi":"https://doi.org/10.1109/iotais64014.2024.10799342"},"language":"en","primary_location":{"id":"doi:10.1109/iotais64014.2024.10799342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iotais64014.2024.10799342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","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/A5092491402","display_name":"Dyka Khairullah Zamhari","orcid":null},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Dyka Khairullah Zamhari","raw_affiliation_strings":["Telkom University,School of Electrical Engineering,Departement of Master Electrical Engineering,Bandung,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telkom University,School of Electrical Engineering,Departement of Master Electrical Engineering,Bandung,Indonesia","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060971871","display_name":"Muhammad Ary Murti","orcid":"https://orcid.org/0000-0002-0631-9210"},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Muhammad Ary Murti","raw_affiliation_strings":["Telkom University,School of Electrical Engineering,Departement of Master Electrical Engineering,Bandung,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telkom University,School of Electrical Engineering,Departement of Master Electrical Engineering,Bandung,Indonesia","institution_ids":["https://openalex.org/I862893732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030839005","display_name":"Hilman Fauzi","orcid":"https://orcid.org/0000-0003-1685-9533"},"institutions":[{"id":"https://openalex.org/I862893732","display_name":"Telkom University","ror":"https://ror.org/0004wsx81","country_code":"ID","type":"education","lineage":["https://openalex.org/I862893732"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Hilman Fauzi","raw_affiliation_strings":["Telkom University,School of Electrical Engineering,Departement of Master Electrical Engineering,Bandung,Indonesia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telkom University,School of Electrical Engineering,Departement of Master Electrical Engineering,Bandung,Indonesia","institution_ids":["https://openalex.org/I862893732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I862893732"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20088087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"166","last_page":"171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.8356000185012817,"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":0.8356000185012817,"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/T11757","display_name":"Seismic Waves and Analysis","score":0.7150999903678894,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13885","display_name":"Geophysics and Sensor Technology","score":0.6802999973297119,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7618824243545532},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5748094916343689},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4844517707824707},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.4759494960308075},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4442523121833801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37374258041381836},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2654631733894348},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2274557650089264},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1734277307987213}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7618824243545532},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5748094916343689},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4844517707824707},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.4759494960308075},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4442523121833801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37374258041381836},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2654631733894348},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2274557650089264},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1734277307987213},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iotais64014.2024.10799342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iotais64014.2024.10799342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2036286097","https://openalex.org/W2903466404","https://openalex.org/W2992584342","https://openalex.org/W3010729213","https://openalex.org/W3047269164","https://openalex.org/W3128254342","https://openalex.org/W3149519280","https://openalex.org/W3164480011","https://openalex.org/W3166840292","https://openalex.org/W3171750385","https://openalex.org/W3182706339","https://openalex.org/W3197243751","https://openalex.org/W3197950246","https://openalex.org/W4387233410","https://openalex.org/W4393230387"],"related_works":["https://openalex.org/W2576994247","https://openalex.org/W3019402777","https://openalex.org/W2031835531","https://openalex.org/W2388590088","https://openalex.org/W4386596916","https://openalex.org/W2608353378","https://openalex.org/W4249206767","https://openalex.org/W2097519318","https://openalex.org/W1969166468","https://openalex.org/W2116377213"],"abstract_inverted_index":{"Indonesia,":[0,81],"strategically":[1],"positioned":[2],"along":[3],"the":[4,25,42,50,59,71,108,153,165,175,194,206,214,249],"Pacific":[5],"Ring":[6],"of":[7,17,27,44,52,63,75,90,126,155,219,222,228],"Fire,":[8],"is":[9,21,144,191],"exceptionally":[10],"susceptible":[11],"to":[12,57,115,120,146,148,151],"seismic":[13,45,78,116,139,157,162],"activities.":[14],"Accurate":[15],"estimation":[16,154],"ground":[18,65,129],"motion":[19,66,130],"parameters":[20,158,163],"crucial":[22],"for":[23],"mitigating":[24],"impact":[26],"earthquakes.":[28],"Recent":[29],"advancements":[30],"in":[31,133,234,240,245],"machine":[32],"learning":[33],"have":[34],"expanded":[35],"its":[36],"application":[37],"across":[38,80],"various":[39],"fields,":[40],"including":[41],"analysis":[43],"data.":[46,140],"This":[47,103],"research":[48,143],"proposes":[49],"use":[51],"Artificial":[53,166],"Neural":[54,167],"Networks":[55],"(ANNs)":[56],"enhance":[58],"accuracy":[60],"and":[61,73,87,118,171,187,224],"reliability":[62],"estimating":[64,128,160],"parameters.":[67],"Our":[68],"methodology":[69],"involves":[70],"collection":[72],"processing":[74],"data":[76,250],"from":[77,96],"stations":[79],"provided":[82],"by":[83,159],"BMKG":[84],"(Meteorological,":[85],"Climatological,":[86],"Geophysical":[88],"Agency":[89],"Indonesia).":[91],"The":[92,181,230],"dataset":[93],"encompasses":[94],"records":[95],"eight":[97],"seismological":[98],"stations,":[99],"capturing":[100],"three":[101],"channels.":[102],"study":[104,236],"primarily":[105],"focuses":[106],"on":[107,248],"Cianjur":[109],"region,":[110],"a":[111,122,225],"zone":[112],"highly":[113],"prone":[114],"disturbances,":[117],"intends":[119],"develop":[121],"robust":[123],"model":[124,172,195,215],"capable":[125],"accurately":[127],"parameters,":[131],"particularly":[132],"regions":[134],"with":[135,243],"incomplete":[136],"or":[137],"limited":[138],"Therefore,":[141],"this":[142,235],"expected":[145],"contribute":[147],"ongoing":[149],"efforts":[150],"improve":[152],"earthquake-related":[156,161],"using":[164,174,185,196,203],"Network":[168],"(ANN)":[169],"method":[170],"optimization":[173],"Particle":[176],"Swarm":[177],"Optimization":[178],"(PSO)":[179],"algorithm.":[180],"results":[182],"were":[183],"evaluated":[184],"PSO":[186,197,210],"without":[188,202],"PSO.":[189,204],"It":[190],"shown":[192],"that":[193],"shows":[198],"better":[199],"performance":[200,239,246],"than":[201],"In":[205],"ANN":[207],"HNE":[208],"+":[209],"Set":[211],"4":[212],"scenario,":[213],"achieved":[216],"an":[217],"MSE":[218],"0.185,":[220],"MAE":[221],"0.209,":[223],"regression":[226],"score":[227],"0.904.":[229],"other":[231],"scenarios":[232],"generated":[233],"show":[237],"good":[238],"general,":[241],"but":[242],"variations":[244],"depending":[247],"set":[251],"used.":[252]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}