{"id":"https://openalex.org/W2899895642","doi":"https://doi.org/10.3390/rs10111729","title":"Prediction of Forest Structural Parameters Using Airborne Full-Waveform LiDAR and Hyperspectral Data in Subtropical Forests","display_name":"Prediction of Forest Structural Parameters Using Airborne Full-Waveform LiDAR and Hyperspectral Data in Subtropical Forests","publication_year":2018,"publication_date":"2018-11-02","ids":{"openalex":"https://openalex.org/W2899895642","doi":"https://doi.org/10.3390/rs10111729","mag":"2899895642"},"language":"en","primary_location":{"id":"doi:10.3390/rs10111729","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10111729","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/rs10111729","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031929340","display_name":"Xin Shen","orcid":"https://orcid.org/0000-0002-5517-277X"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Shen","raw_affiliation_strings":["Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083073196","display_name":"Lin Cao","orcid":"https://orcid.org/0000-0001-5195-0477"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Cao","raw_affiliation_strings":["Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":"https://orcid.org/0000-0001-5195-0477","affiliations":[{"raw_affiliation_string":"Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013116360","display_name":"Dong Chen","orcid":"https://orcid.org/0000-0001-8118-3889"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Chen","raw_affiliation_strings":["College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":"https://orcid.org/0000-0001-8118-3889","affiliations":[{"raw_affiliation_string":"College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076712405","display_name":"Yuan Sun","orcid":"https://orcid.org/0000-0002-4595-9237"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Sun","raw_affiliation_strings":["Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067106167","display_name":"Guibin Wang","orcid":"https://orcid.org/0000-0002-9987-6496"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guibin Wang","raw_affiliation_strings":["Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000107265","display_name":"Honghua Ruan","orcid":"https://orcid.org/0000-0002-6075-474X"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghua Ruan","raw_affiliation_strings":["Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5083073196"],"corresponding_institution_ids":["https://openalex.org/I167027274"],"apc_list":{"value":2700,"currency":"CHF","value_usd":3258},"apc_paid":{"value":2700,"currency":"CHF","value_usd":3258},"fwci":1.8207,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.82913902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":"11","first_page":"1729","last_page":"1729"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":1.0,"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/T11880","display_name":"Forest ecology and management","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"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/T12713","display_name":"Forest Ecology and Biodiversity Studies","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lidar","display_name":"Lidar","score":0.7037001848220825},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6524935960769653},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6475856304168701},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.6169734597206116},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5952991247177124},{"id":"https://openalex.org/keywords/basal-area","display_name":"Basal area","score":0.5866504907608032},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.43641138076782227},{"id":"https://openalex.org/keywords/forest-inventory","display_name":"Forest inventory","score":0.4215546250343323},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.2941815257072449},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2831183671951294},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23400983214378357},{"id":"https://openalex.org/keywords/forest-management","display_name":"Forest management","score":0.23026105761528015},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.18912500143051147},{"id":"https://openalex.org/keywords/agroforestry","display_name":"Agroforestry","score":0.12239384651184082}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.7037001848220825},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6524935960769653},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6475856304168701},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.6169734597206116},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5952991247177124},{"id":"https://openalex.org/C91354502","wikidata":"https://www.wikidata.org/wiki/Q830384","display_name":"Basal area","level":2,"score":0.5866504907608032},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.43641138076782227},{"id":"https://openalex.org/C147103442","wikidata":"https://www.wikidata.org/wiki/Q1423188","display_name":"Forest inventory","level":3,"score":0.4215546250343323},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.2941815257072449},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2831183671951294},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23400983214378357},{"id":"https://openalex.org/C28631016","wikidata":"https://www.wikidata.org/wiki/Q372561","display_name":"Forest management","level":2,"score":0.23026105761528015},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.18912500143051147},{"id":"https://openalex.org/C54286561","wikidata":"https://www.wikidata.org/wiki/Q397350","display_name":"Agroforestry","level":1,"score":0.12239384651184082},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs10111729","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10111729","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a7ea47ef39fa47ffad13a9ff2c0045f6","is_oa":true,"landing_page_url":"https://doaj.org/article/a7ea47ef39fa47ffad13a9ff2c0045f6","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":"Remote Sensing, Vol 10, Iss 11, p 1729 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs10111729","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10111729","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.75}],"awards":[{"id":"https://openalex.org/G5189052481","display_name":"\u591a\u65f6\u76f8\u673a\u8f7d\u5168\u6ce2\u5f62\u6fc0\u5149\u96f7\u8fbe\u4eba\u5de5\u6797\u751f\u7269\u91cf\u52a8\u6001\u76d1\u6d4b\u7814\u7a76","funder_award_id":"31770590","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":105,"referenced_works":["https://openalex.org/W818076710","https://openalex.org/W897634805","https://openalex.org/W1180868283","https://openalex.org/W1496824059","https://openalex.org/W1899660623","https://openalex.org/W1964217023","https://openalex.org/W1964697047","https://openalex.org/W1969245801","https://openalex.org/W1970552891","https://openalex.org/W1976723446","https://openalex.org/W1977338552","https://openalex.org/W1984892927","https://openalex.org/W1986786848","https://openalex.org/W1989401377","https://openalex.org/W1990077509","https://openalex.org/W1990463433","https://openalex.org/W1995234545","https://openalex.org/W1996263757","https://openalex.org/W1996568260","https://openalex.org/W2003084148","https://openalex.org/W2011475440","https://openalex.org/W2012211735","https://openalex.org/W2017960296","https://openalex.org/W2018027183","https://openalex.org/W2023303051","https://openalex.org/W2029534599","https://openalex.org/W2030364282","https://openalex.org/W2031126473","https://openalex.org/W2032413422","https://openalex.org/W2032771339","https://openalex.org/W2033908379","https://openalex.org/W2040120109","https://openalex.org/W2048061433","https://openalex.org/W2050487419","https://openalex.org/W2050966212","https://openalex.org/W2051875447","https://openalex.org/W2052402549","https://openalex.org/W2057750545","https://openalex.org/W2058154428","https://openalex.org/W2067823853","https://openalex.org/W2071695476","https://openalex.org/W2075021380","https://openalex.org/W2078296814","https://openalex.org/W2080157231","https://openalex.org/W2082136988","https://openalex.org/W2084291846","https://openalex.org/W2088551744","https://openalex.org/W2089114174","https://openalex.org/W2089441588","https://openalex.org/W2089849815","https://openalex.org/W2090858999","https://openalex.org/W2094605604","https://openalex.org/W2094701176","https://openalex.org/W2096996101","https://openalex.org/W2097192876","https://openalex.org/W2099400014","https://openalex.org/W2100397795","https://openalex.org/W2106488983","https://openalex.org/W2109191549","https://openalex.org/W2109631166","https://openalex.org/W2110642642","https://openalex.org/W2112590417","https://openalex.org/W2113410727","https://openalex.org/W2121102297","https://openalex.org/W2125574854","https://openalex.org/W2129661732","https://openalex.org/W2132299303","https://openalex.org/W2133160971","https://openalex.org/W2137933418","https://openalex.org/W2139053550","https://openalex.org/W2148964762","https://openalex.org/W2151549592","https://openalex.org/W2152016466","https://openalex.org/W2152575904","https://openalex.org/W2155714399","https://openalex.org/W2162298841","https://openalex.org/W2164124513","https://openalex.org/W2167350337","https://openalex.org/W2169103225","https://openalex.org/W2176673053","https://openalex.org/W2239022495","https://openalex.org/W2248139498","https://openalex.org/W2253886175","https://openalex.org/W2302803999","https://openalex.org/W2311795227","https://openalex.org/W2353139366","https://openalex.org/W2353266363","https://openalex.org/W2367201931","https://openalex.org/W2383860596","https://openalex.org/W2385962115","https://openalex.org/W2508299320","https://openalex.org/W2515649732","https://openalex.org/W2538282875","https://openalex.org/W2540984579","https://openalex.org/W2559726834","https://openalex.org/W2566759027","https://openalex.org/W2609566451","https://openalex.org/W2613724056","https://openalex.org/W2751581825","https://openalex.org/W2769616159","https://openalex.org/W3216545565","https://openalex.org/W6676548523","https://openalex.org/W6691857744","https://openalex.org/W6738406644","https://openalex.org/W7056248466"],"related_works":["https://openalex.org/W2015378821","https://openalex.org/W4236226448","https://openalex.org/W2475090620","https://openalex.org/W2537499819","https://openalex.org/W2109791390","https://openalex.org/W2955157021","https://openalex.org/W2894161168","https://openalex.org/W4313558313","https://openalex.org/W1989794441","https://openalex.org/W2011359691"],"abstract_inverted_index":{"Accurate":[0],"acquisition":[1],"of":[2,12,52,61,79,127,169,176,221,241,259,271,313,331,341],"forest":[3,13,18,24,28,46,296,342],"structural":[4,47,297,343],"parameters,":[5],"which":[6],"is":[7,20],"essential":[8],"for":[9,23],"the":[10,167,170,189,197,211,222,239,257,269,286,292,311,329,339],"parameterization":[11],"growth":[14],"models":[15,137,172,287],"and":[16,26,39,58,72,82,95,100,107,114,119,130,139,161,166,173,204,213,228,268,285,315,334],"understanding":[17],"ecosystems,":[19],"also":[21],"crucial":[22],"inventories":[25],"sustainable":[27],"management.":[29],"In":[30],"this":[31],"study,":[32],"simultaneously":[33],"acquired":[34],"airborne":[35,62],"full-waveform":[36,93],"(FWF)":[37],"LiDAR":[38,64,81],"hyperspectral":[40,83,101],"data":[41,65],"were":[42,66,112,132,178,207],"used":[43,133],"to":[44,134,142,294],"predict":[45,143,295],"parameters":[48,298,344],"in":[49,140,318],"subtropical":[50],"forests":[51],"southeast":[53],"China.":[54],"The":[55,124,184],"pulse":[56],"amplitude":[57],"waveform":[59],"shape":[60],"FWF":[63,80],"calibrated":[67],"using":[68,116,180],"a":[69,73,244,274],"physical":[70],"process-driven":[71],"voxel-based":[74],"approach,":[75],"respectively.":[76],"Different":[77],"suites":[78],"metrics,":[84],"i.e.,":[85],"point":[86],"cloud":[87],"(derived":[88],"from":[89,192,225],"LiDAR-waveforms)":[90],"metrics":[91,98,110,126,177,190,223],"(DPC),":[92],"(geometric":[94],"radiometric":[96],"features)":[97],"(FW)":[99],"(original":[102],"reflectance":[103],"bands,":[104],"vegetation":[105],"indices":[106],"statistical":[108],"indices)":[109],"(HS),":[111],"extracted":[113],"assessed":[115,179],"correlation":[117],"analysis":[118,122],"principal":[120,215],"component":[121,216],"(PCA).":[123],"selected":[125,191,224],"DPC,":[128,201,226,332],"FW":[129,203,227,316,333],"HS":[131,206,229,335],"fit":[135],"regression":[136],"individually":[138],"combination":[141],"diameter":[144],"at":[145],"breast":[146],"height":[147,151],"(DBH),":[148],"Lorey\u2019s":[149],"mean":[150],"(HL),":[152],"stem":[153],"number":[154],"(N),":[155],"basal":[156],"area":[157],"(G),":[158],"volume":[159],"(V)":[160],"above":[162],"ground":[163],"biomass":[164],"(AGB),":[165],"capability":[168,293],"predictive":[171],"synergetic":[174],"effects":[175],"leave-one-out":[181],"cross":[182],"validation.":[183],"results":[185],"showed":[186],"that:":[187],"among":[188],"three":[193],"groups":[194],"divided":[195],"by":[196,256],"PCA":[198],"analysis,":[199],"twelve":[200],"eight":[202],"ten":[205],"highly":[208],"correlated":[209],"with":[210,299],"first":[212],"second":[214],"(r":[217,236],">":[218],"0.7);":[219,238],"most":[220],"had":[230,243,273,291],"weak":[231],"relationships":[232],"between":[233],"each":[234],"other":[235],"<":[237],"prediction":[240,258,270,345],"HL":[242],"relatively":[245,275,300],"higher":[246,319],"accuracy":[247,277],"(Adjusted-R2":[248,261,278,303,321,346],"=":[249,253,262,266,279,283,304,308,322,326,347,351],"0.88,":[250],"relative":[251,264,281,306,324,349],"RMSE":[252,265,282,307,325,350],"10.68%),":[254],"followed":[255],"AGB":[260],"0.84,":[263],"15.14%),":[267],"V":[272],"lower":[276],"0.81,":[280],"16.37%);":[284],"including":[288],"only":[289],"DPC":[290,314],"high":[301],"accuracies":[302,320,340],"0.52\u20130.81,":[305],"15.70\u201340.87%)":[309],"whereas":[310],"usage":[312],"resulted":[317],"0.62\u20130.87,":[323],"11.01\u201331.30%).":[327],"Moreover,":[328],"integration":[330],"can":[336],"further":[337],"improve":[338],"0.68\u20130.88,":[348],"10.68\u201328.67%).":[352]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":7}],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2018-11-16T00:00:00"}