{"id":"https://openalex.org/W4406745956","doi":"https://doi.org/10.1007/s12145-025-01712-4","title":"Implementation of the BIRCH algorithm to construct a data-adaptive network design for regional gravity field modeling via SRBF","display_name":"Implementation of the BIRCH algorithm to construct a data-adaptive network design for regional gravity field modeling via SRBF","publication_year":2025,"publication_date":"2025-01-23","ids":{"openalex":"https://openalex.org/W4406745956","doi":"https://doi.org/10.1007/s12145-025-01712-4"},"language":"en","primary_location":{"id":"doi:10.1007/s12145-025-01712-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12145-025-01712-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12145-025-01712-4.pdf","source":{"id":"https://openalex.org/S198914822","display_name":"Earth Science Informatics","issn_l":"1865-0473","issn":["1865-0473","1865-0481"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Earth Science Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s12145-025-01712-4.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074166106","display_name":"Rasit Ulug","orcid":"https://orcid.org/0000-0002-2671-228X"},"institutions":[{"id":"https://openalex.org/I1281109512","display_name":"Nev\u015fehir Hac\u0131 Bekta\u015f Veli University","ror":"https://ror.org/019jds967","country_code":"TR","type":"education","lineage":["https://openalex.org/I1281109512"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Rasit Ulug","raw_affiliation_strings":["Engineering and Architecture Faculty, Nevsehir Haci Bektas Veli University, Nevsehir, 50300, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-2671-228X","affiliations":[{"raw_affiliation_string":"Engineering and Architecture Faculty, Nevsehir Haci Bektas Veli University, Nevsehir, 50300, Turkey","institution_ids":["https://openalex.org/I1281109512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5074166106"],"corresponding_institution_ids":["https://openalex.org/I1281109512"],"apc_list":{"value":2690,"currency":"EUR","value_usd":3390},"apc_paid":{"value":2690,"currency":"EUR","value_usd":3390},"fwci":2.5536,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.85363192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"18","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11405","display_name":"Geophysics and Gravity Measurements","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11405","display_name":"Geophysics and Gravity Measurements","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"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/T10655","display_name":"GNSS positioning and interference","score":0.9574999809265137,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9567000269889832,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7078196406364441},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.704897403717041},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5875208973884583},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3941524624824524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.306277334690094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09753644466400146}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7078196406364441},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.704897403717041},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5875208973884583},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3941524624824524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.306277334690094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09753644466400146}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s12145-025-01712-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12145-025-01712-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12145-025-01712-4.pdf","source":{"id":"https://openalex.org/S198914822","display_name":"Earth Science Informatics","issn_l":"1865-0473","issn":["1865-0473","1865-0481"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Earth Science Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s12145-025-01712-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s12145-025-01712-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s12145-025-01712-4.pdf","source":{"id":"https://openalex.org/S198914822","display_name":"Earth Science Informatics","issn_l":"1865-0473","issn":["1865-0473","1865-0481"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Earth Science Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406745956.pdf","grobid_xml":"https://content.openalex.org/works/W4406745956.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W42354747","https://openalex.org/W71533857","https://openalex.org/W292488557","https://openalex.org/W605920455","https://openalex.org/W1511720900","https://openalex.org/W1547669723","https://openalex.org/W1966142034","https://openalex.org/W1987971958","https://openalex.org/W1991626820","https://openalex.org/W2007349394","https://openalex.org/W2022751314","https://openalex.org/W2024824031","https://openalex.org/W2031299408","https://openalex.org/W2057371440","https://openalex.org/W2064970815","https://openalex.org/W2073207286","https://openalex.org/W2123355608","https://openalex.org/W2125351010","https://openalex.org/W2127525487","https://openalex.org/W2137492554","https://openalex.org/W2141245797","https://openalex.org/W2149842426","https://openalex.org/W2343565199","https://openalex.org/W2569995779","https://openalex.org/W2573915595","https://openalex.org/W2589844606","https://openalex.org/W2613326857","https://openalex.org/W2733722625","https://openalex.org/W2746957661","https://openalex.org/W2765377385","https://openalex.org/W2789617086","https://openalex.org/W2909623457","https://openalex.org/W2986786887","https://openalex.org/W3011001351","https://openalex.org/W3031967244","https://openalex.org/W3044870978","https://openalex.org/W3210899815","https://openalex.org/W4200165215","https://openalex.org/W4220962711","https://openalex.org/W4306754733","https://openalex.org/W4309748729","https://openalex.org/W4388321579","https://openalex.org/W4395014851","https://openalex.org/W4403936472"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"study":[2],"presents":[3],"a":[4,152],"new":[5],"methodology":[6,191],"to":[7,67,116,123,150,160,167,205,230],"establish":[8,231],"an":[9,232],"optimal":[10,233],"network":[11,155,186,235],"for":[12,157],"the":[13,21,32,39,45,48,51,55,60,62,68,74,77,91,105,124,128,133,139,169,173,182,185,189,193,197,212,217,222],"spherical":[14],"radial":[15],"basis":[16],"functions":[17],"(SRBFs)":[18],"by":[19,38,104],"employing":[20],"Balanced":[22],"Iterative":[23],"Reducing":[24],"and":[25,73,86,93,228],"Clustering":[26],"using":[27],"Hierarchies":[28],"(BIRCH)":[29],"algorithm.":[30],"In":[31],"proposed":[33,190],"methodology,":[34],"sub-cluster":[35],"centers":[36],"obtained":[37],"BIRCH":[40,78,223],"algorithm":[41,113,224],"are":[42,57,64,80,165],"replaced":[43],"with":[44,84],"center":[46],"of":[47,54,76,99,127,138,181,196],"SRBFs.":[49,158],"Since":[50],"horizontal":[52],"positions":[53],"observations":[56],"utilized":[58],"in":[59,82,90,132,184,211,238],"clustering,":[61],"SRBFs":[63,164],"distributed":[65],"adaptively":[66],"data.":[69],"The":[70,97,110,136],"algorithm\u2019s":[71],"performance":[72],"effects":[75],"parameters":[79],"investigated":[81],"detail":[83],"real":[85],"simulated":[87],"data":[88,240],"sets":[89],"Auvergne":[92],"Colorado":[94],"areas,":[95],"respectively.":[96],"bandwidth":[98],"each":[100],"SRBF":[101],"is":[102,114,148,225],"determined":[103],"generalized":[106],"cross-validation":[107],"(GCV)":[108],"technique.":[109],"turning":[111],"point":[112],"employed":[115],"reduce":[117],"long-wavelength":[118],"errors":[119],"that":[120,143],"occur":[121],"due":[122],"always":[125],"positivity":[126],"selected":[129,218],"Legendre":[130],"coefficients":[131,208],"spatial":[134],"domain.":[135],"outcomes":[137],"numerical":[140],"tests":[141],"show":[142],"only":[144],"one":[145],"parameter":[146],"(threshold)":[147],"enough":[149],"construct":[151],"proper":[153],"data-adaptive":[154,234],"design":[156],"Compared":[159],"existing":[161],"algorithms,":[162],"fewer":[163],"required":[166],"achieve":[168],"same":[170],"accuracy":[171],"on":[172,216],"control":[174],"points":[175],"while":[176],"saving":[177],"more":[178],"than":[179],"95%":[180],"time":[183],"design.":[187],"Furthermore,":[188],"improves":[192],"condition":[194],"number":[195],"normal":[198],"equation":[199],"matrix.":[200],"That":[201],"makes":[202],"it":[203],"possible":[204],"estimate":[206],"unknown":[207],"without":[209],"regularization":[210],"least-square":[213],"procedure":[214],"depending":[215],"threshold":[219],"parameter.":[220],"Therefore,":[221],"very":[226],"effective":[227],"suitable":[229],"design,":[236],"especially":[237],"large":[239],"sets.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}
