{"id":"https://openalex.org/W2578555693","doi":"https://doi.org/10.1109/access.2016.2643679","title":"Functional Curve Fitting Algorithm via Multi-Heterogeneous Data Curve","display_name":"Functional Curve Fitting Algorithm via Multi-Heterogeneous Data Curve","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2578555693","doi":"https://doi.org/10.1109/access.2016.2643679","mag":"2578555693"},"language":"en","primary_location":{"id":"doi:10.1109/access.2016.2643679","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2016.2643679","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2016.2643679","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017651915","display_name":"Laixin Shen","orcid":"https://orcid.org/0000-0003-0437-8935"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]},{"id":"https://openalex.org/I3132008074","display_name":"Huangshan University","ror":"https://ror.org/05akhmy90","country_code":"CN","type":"education","lineage":["https://openalex.org/I3132008074"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Laixin Shen","raw_affiliation_strings":["Department of Computer Science, Tongji University, Shanghai, China","Huangshan University, Huangshan City, China"],"raw_orcid":"https://orcid.org/0000-0003-0437-8935","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]},{"raw_affiliation_string":"Huangshan University, Huangshan City, China","institution_ids":["https://openalex.org/I3132008074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101811223","display_name":"Fan Yang","orcid":"https://orcid.org/0000-0003-4878-3158"},"institutions":[{"id":"https://openalex.org/I3132008074","display_name":"Huangshan University","ror":"https://ror.org/05akhmy90","country_code":"CN","type":"education","lineage":["https://openalex.org/I3132008074"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Yang","raw_affiliation_strings":["Huangshan University, Huangshan City, China"],"raw_orcid":"https://orcid.org/0000-0003-4878-3158","affiliations":[{"raw_affiliation_string":"Huangshan University, Huangshan City, China","institution_ids":["https://openalex.org/I3132008074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696141","display_name":"Xuefei Wang","orcid":"https://orcid.org/0000-0003-0907-3196"},"institutions":[{"id":"https://openalex.org/I3132008074","display_name":"Huangshan University","ror":"https://ror.org/05akhmy90","country_code":"CN","type":"education","lineage":["https://openalex.org/I3132008074"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefei Wang","raw_affiliation_strings":["Micro scale Network Computing Laboratory, HuangShan University, Huangshan City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Micro scale Network Computing Laboratory, HuangShan University, Huangshan City, China","institution_ids":["https://openalex.org/I3132008074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006003825","display_name":"Paul Comerford","orcid":null},"institutions":[{"id":"https://openalex.org/I22128151","display_name":"University of Derby","ror":"https://ror.org/02yhrrk59","country_code":"GB","type":"education","lineage":["https://openalex.org/I22128151"]},{"id":"https://openalex.org/I4210123711","display_name":"Derby College","ror":"https://ror.org/02q4zda14","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210123711"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paul Comerford","raw_affiliation_strings":["College of Engineering and Technology, University of Derby, Derby, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering and Technology, University of Derby, Derby, U.K","institution_ids":["https://openalex.org/I22128151","https://openalex.org/I4210123711"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5017651915"],"corresponding_institution_ids":["https://openalex.org/I116953780","https://openalex.org/I3132008074"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1717,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.52149771,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"5","issue":null,"first_page":"470","last_page":"479"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9836999773979187,"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"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9836999773979187,"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"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9606000185012817,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9388999938964844,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lebesgue-measure","display_name":"Lebesgue measure","score":0.6593359708786011},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6145026683807373},{"id":"https://openalex.org/keywords/curve-fitting","display_name":"Curve fitting","score":0.6064199209213257},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5340230464935303},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5011386871337891},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4940369725227356},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.45858001708984375},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4401472806930542},{"id":"https://openalex.org/keywords/data-point","display_name":"Data point","score":0.43018263578414917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41896945238113403},{"id":"https://openalex.org/keywords/hilbert-curve","display_name":"Hilbert curve","score":0.4154985845088959},{"id":"https://openalex.org/keywords/lebesgue-integration","display_name":"Lebesgue integration","score":0.3117077350616455},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.25053870677948},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24895262718200684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23623186349868774},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17912369966506958}],"concepts":[{"id":"https://openalex.org/C2777105136","wikidata":"https://www.wikidata.org/wiki/Q827230","display_name":"Lebesgue measure","level":3,"score":0.6593359708786011},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6145026683807373},{"id":"https://openalex.org/C184389593","wikidata":"https://www.wikidata.org/wiki/Q603159","display_name":"Curve fitting","level":2,"score":0.6064199209213257},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5340230464935303},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5011386871337891},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4940369725227356},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.45858001708984375},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4401472806930542},{"id":"https://openalex.org/C21080849","wikidata":"https://www.wikidata.org/wiki/Q13611879","display_name":"Data point","level":2,"score":0.43018263578414917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41896945238113403},{"id":"https://openalex.org/C2781142347","wikidata":"https://www.wikidata.org/wiki/Q1366592","display_name":"Hilbert curve","level":2,"score":0.4154985845088959},{"id":"https://openalex.org/C14158598","wikidata":"https://www.wikidata.org/wiki/Q853831","display_name":"Lebesgue integration","level":2,"score":0.3117077350616455},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.25053870677948},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24895262718200684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23623186349868774},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17912369966506958},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2016.2643679","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2016.2643679","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8e26d85e3998471b8393e5a80271d440","is_oa":true,"landing_page_url":"https://doaj.org/article/8e26d85e3998471b8393e5a80271d440","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 5, Pp 470-479 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2016.2643679","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2016.2643679","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W798183341","https://openalex.org/W1964172155","https://openalex.org/W1973466238","https://openalex.org/W1995624107","https://openalex.org/W2010702315","https://openalex.org/W2010924522","https://openalex.org/W2012343510","https://openalex.org/W2021944611","https://openalex.org/W2029143245","https://openalex.org/W2047443791","https://openalex.org/W2052503369","https://openalex.org/W2054799446","https://openalex.org/W2057061710","https://openalex.org/W2089809964","https://openalex.org/W2094194435","https://openalex.org/W2101809033","https://openalex.org/W2102855395","https://openalex.org/W2126413878","https://openalex.org/W2142430251","https://openalex.org/W2142766915","https://openalex.org/W2144228257","https://openalex.org/W2145887856","https://openalex.org/W2159713859","https://openalex.org/W2318657826","https://openalex.org/W2354599924","https://openalex.org/W2387576389","https://openalex.org/W2594697719","https://openalex.org/W2784338524","https://openalex.org/W3101733394","https://openalex.org/W6675688520","https://openalex.org/W6678725500"],"related_works":["https://openalex.org/W2074721578","https://openalex.org/W928772053","https://openalex.org/W3008743878","https://openalex.org/W2032212755","https://openalex.org/W2917668491","https://openalex.org/W4287864225","https://openalex.org/W3184958942","https://openalex.org/W4244471727","https://openalex.org/W1567236373","https://openalex.org/W105766698"],"abstract_inverted_index":{"Complex":[0],"computing":[1],"based":[2,71,144],"on":[3,72,145,183],"multi-heterogeneous":[4,157,209],"parameters":[5,188],"can":[6,24,42,111,175,200],"utilize":[7],"the":[8,88,94,120,131,136,146,151,163,192,208,216],"Lebesgue":[9,89,147],"measure":[10,12,91],"to":[11],"their":[13],"linear":[14],"and":[15,55,87,126,150,198,215,221],"non-linear":[16],"relations":[17],"in":[18,30,162],"infinite":[19],"dimensional":[20,28],"Hilbert":[21],"space,":[22],"which":[23,69,118],"characterize":[25],"those":[26],"different":[27],"characteristics":[29],"a":[31,62,73,106,115],"set":[32],"of":[33,65,96,101,123,134,156,172,189,196,219],"autonomous":[34],"learning":[35],"base.":[36,77],"The":[37,78,140,169,203],"temporal-spatial":[38],"micro-scale":[39],"mildew":[40,128,138,165,193,217],"indices":[41,218],"be":[43,112,176,201],"fitted":[44,132],"by":[45,85,178],"using":[46],"four":[47],"heterogeneous":[48,66],"parameters,":[49],"including":[50],"temperature,":[51],"humidity,":[52],"wind":[53],"force,":[54],"water":[56],"vapor":[57],"pressure.":[58],"This":[59],"paper":[60],"proposes":[61],"fitting":[63,81,167,173,211],"process":[64,155],"parameter":[67],"curves,":[68],"is":[70,83,130,213],"common":[74],"reference":[75],"coordinate":[76],"multi-scale":[79],"functional":[80,152],"tree":[82,98],"constructed":[84],"R*-tree":[86],"similarity":[90,95,142],"algorithm.":[92,181],"When":[93],"two":[97,184],"nodes":[99,110],"representative":[100],"similar":[102],"environmental":[103,121,186],"sub-space":[104],"exceeds":[105],"given":[107],"threshold,":[108],"these":[109],"combined":[113,124],"into":[114],"parent":[116],"node,":[117],"represents":[119],"characteristic":[122],"bigger-space":[125],"its":[127],"curve":[129,141,153,180,210],"result":[133],"all":[135],"son-node":[137],"curves.":[139],"measurement":[143,187],"multi-dimensional":[148],"matrix":[149],"generating":[154],"data":[158],"curves":[159,174],"are":[160],"proposed":[161],"micro-space":[164],"index":[166,194],"example.":[168],"boundary":[170],"finding":[171],"realized":[177],"envelop":[179],"Based":[182],"years":[185],"ancient":[190],"dwellings,":[191],"comparison":[195],"indoor":[197,220],"outdoor":[199,222],"obtained.":[202],"experimental":[204],"results":[205],"show":[206],"that":[207],"algorithm":[212],"effective":[214],"have":[223],"cyclical":[224],"differences.":[225]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}