{"id":"https://openalex.org/W7133948561","doi":"https://doi.org/10.1007/s10489-025-06731-8","title":"Deep learning methodology for the identification of wood species using high-resolution macroscopic images and patch-voting","display_name":"Deep learning methodology for the identification of wood species using high-resolution macroscopic images and patch-voting","publication_year":2026,"publication_date":"2026-03-05","ids":{"openalex":"https://openalex.org/W7133948561","doi":"https://doi.org/10.1007/s10489-025-06731-8"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-025-06731-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-025-06731-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-025-06731-8.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"Applied Intelligence","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/s10489-025-06731-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094255427","display_name":"David Herrera-Poyatos","orcid":null},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]},{"id":"https://openalex.org/I4210095677","display_name":"Instituto Andaluz de Ciencias de la Tierra","ror":"https://ror.org/00v0g9w49","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210095677"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"David Herrera-Poyatos","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, Andalusian Institute of Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain"],"raw_orcid":"https://orcid.org/0009-0005-2604-2078","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Andalusian Institute of Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897","https://openalex.org/I4210095677"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128154547","display_name":"Andr\u00e9s Herrera-Poyatos","orcid":null},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]},{"id":"https://openalex.org/I4210095677","display_name":"Instituto Andaluz de Ciencias de la Tierra","ror":"https://ror.org/00v0g9w49","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210095677"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Andr\u00e9s Herrera-Poyatos","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, Andalusian Institute of Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Andalusian Institute of Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897","https://openalex.org/I4210095677"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053626710","display_name":"Rosana Montes","orcid":"https://orcid.org/0000-0002-0183-044X"},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]},{"id":"https://openalex.org/I4210095677","display_name":"Instituto Andaluz de Ciencias de la Tierra","ror":"https://ror.org/00v0g9w49","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210095677"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Rosana Montes","raw_affiliation_strings":["Department of Software Engineering, Andalusian Institute of Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, Andalusian Institute of Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897","https://openalex.org/I4210095677"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038838976","display_name":"Paloma de Palacios","orcid":"https://orcid.org/0000-0003-1907-0992"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Paloma de Palacios","raw_affiliation_strings":["Escuela T\u00e9cnica Superior de Ingenier\u00eda de Montes, Forestal y del Medio Natural, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escuela T\u00e9cnica Superior de Ingenier\u00eda de Montes, Forestal y del Medio Natural, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066503641","display_name":"Luis Garc\u00eda Esteban","orcid":"https://orcid.org/0000-0002-7771-9123"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Luis G. Esteban","raw_affiliation_strings":["Escuela T\u00e9cnica Superior de Ingenier\u00eda de Montes, Forestal y del Medio Natural, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escuela T\u00e9cnica Superior de Ingenier\u00eda de Montes, Forestal y del Medio Natural, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089445685","display_name":"Alberto Garc\u00eda\u2010Iruela","orcid":"https://orcid.org/0000-0002-4778-7651"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alberto Garc\u00eda Iruela","raw_affiliation_strings":["Escuela T\u00e9cnica Superior de Ingenier\u00eda de Montes, Forestal y del Medio Natural, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escuela T\u00e9cnica Superior de Ingenier\u00eda de Montes, Forestal y del Medio Natural, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008673978","display_name":"Francisco Garc\u00eda Fern\u00e1ndez","orcid":"https://orcid.org/0000-0002-1180-9660"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Francisco Garc\u00eda Fern\u00e1ndez","raw_affiliation_strings":["Escuela T\u00e9cnica Superior de Ingenier\u00eda de Montes, Forestal y del Medio Natural, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Escuela T\u00e9cnica Superior de Ingenier\u00eda de Montes, Forestal y del Medio Natural, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124048781","display_name":"Francisco Herrera","orcid":null},"institutions":[{"id":"https://openalex.org/I173304897","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449","country_code":"ES","type":"education","lineage":["https://openalex.org/I173304897"]},{"id":"https://openalex.org/I4210095677","display_name":"Instituto Andaluz de Ciencias de la Tierra","ror":"https://ror.org/00v0g9w49","country_code":"ES","type":"facility","lineage":["https://openalex.org/I134820265","https://openalex.org/I4210095677"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Francisco Herrera","raw_affiliation_strings":["Department of Computer Science and Artificial Intelligence, Andalusian Institute of Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Artificial Intelligence, Andalusian Institute of Data Science and Computational Intelligence (DaSCI), University of Granada, Granada, Spain","institution_ids":["https://openalex.org/I173304897","https://openalex.org/I4210095677"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5094255427"],"corresponding_institution_ids":["https://openalex.org/I173304897","https://openalex.org/I4210095677"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":3.825,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.90106779,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"56","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13568","display_name":"Wood and Agarwood Research","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13568","display_name":"Wood and Agarwood Research","score":0.9884999990463257,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10484","display_name":"Wood Treatment and Properties","score":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.0015999999595806003,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7278000116348267},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6972000002861023},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6488999724388123},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5997999906539917},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5813999772071838},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.46149998903274536},{"id":"https://openalex.org/keywords/voting","display_name":"Voting","score":0.42669999599456787},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3853999972343445}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.86080002784729},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.757099986076355},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7278000116348267},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6972000002861023},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6488999724388123},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6290000081062317},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5997999906539917},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5813999772071838},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.46149998903274536},{"id":"https://openalex.org/C520049643","wikidata":"https://www.wikidata.org/wiki/Q189760","display_name":"Voting","level":3,"score":0.42669999599456787},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3853999972343445},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.3831999897956848},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37869998812675476},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.35339999198913574},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.34850001335144043},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3391000032424927},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.30649998784065247},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.2858999967575073},{"id":"https://openalex.org/C153668964","wikidata":"https://www.wikidata.org/wiki/Q27636","display_name":"Majority rule","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.26649999618530273},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2551000118255615}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10489-025-06731-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-025-06731-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-025-06731-8.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"Applied Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:oa.upm.es:96359","is_oa":true,"landing_page_url":"https://oa.upm.es/96359/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402421","display_name":"Archivo Digital UPM (Universidad Polit\u00e9cnica de Madrid)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I88060688","host_organization_name":"Universidad Polit\u00e9cnica de Madrid","host_organization_lineage":["https://openalex.org/I88060688"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Intelligence, ISSN 1573-7497, 2026-03-05, Vol. 56, No. 128","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s10489-025-06731-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10489-025-06731-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10489-025-06731-8.pdf","source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"Applied Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.44668686389923096,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323834","display_name":"Universidad de Granada","ror":"https://ror.org/04njjy449"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W7133948561.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2066805030","https://openalex.org/W2159666059","https://openalex.org/W2671509478","https://openalex.org/W2747413633","https://openalex.org/W2771404974","https://openalex.org/W2773965446","https://openalex.org/W2915138900","https://openalex.org/W2963400281","https://openalex.org/W2964350391","https://openalex.org/W2997332264","https://openalex.org/W3004501598","https://openalex.org/W3009133068","https://openalex.org/W3037422953","https://openalex.org/W3040791248","https://openalex.org/W3097631868","https://openalex.org/W3121797242","https://openalex.org/W3126637267","https://openalex.org/W3132061261","https://openalex.org/W3136369271","https://openalex.org/W3157931840","https://openalex.org/W4214634229","https://openalex.org/W4220874821","https://openalex.org/W4220932040","https://openalex.org/W4249996449","https://openalex.org/W4282830957","https://openalex.org/W4285211349","https://openalex.org/W4291016531","https://openalex.org/W4368275350","https://openalex.org/W4380990713","https://openalex.org/W4388961282","https://openalex.org/W4392653173","https://openalex.org/W4409276593","https://openalex.org/W4410436066"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Tools":[1],"for":[2],"automatic":[3],"wood":[4,52],"species":[5],"identification":[6],"are":[7,45,57],"needed":[8],"worldwide":[9],"in":[10,43,47,102,112,124,168,187],"order":[11,48,103],"to":[12,26,49,104,120],"support":[13],"sustainable":[14],"timber":[15,44,101,113,125],"trade.":[16],"This":[17,70,86],"work":[18,71,141],"explores":[19],"the":[20,73,89,94,106,174,177,188,197,200,205],"application":[21],"of":[22,31,36,91,96,100,149,152,176,192,207],"computer":[23],"vision":[24],"techniques":[25],"classify":[27],"high-resolution":[28,97],"macroscopic":[29,98],"images":[30,99,151],"timber.":[32],"The":[33,115],"main":[34],"challenge":[35],"this":[37,140],"problem":[38],"is":[39,118,164],"that":[40,109,199],"fine-grained":[41,122],"patterns":[42,56,123],"crucial":[46],"accurately":[50],"identify":[51],"species,":[53],"and":[54,93,130,163,196],"these":[55],"not":[58],"learned":[59],"by":[60],"convolutional":[61],"neural":[62],"networks":[63],"(CNNs)":[64],"trained":[65],"on":[66,204],"low":[67],"resolution":[68],"images.":[69],"introduces":[72],"Timber":[74],"Deep":[75],"Learning":[76],"Identification":[77],"with":[78,183],"Patch-based":[79],"Inference":[80],"Voting":[81],"methodology,":[82,179],"abbreviated":[83],"TDLI-PIV":[84,116,178],"methodology.":[85],"methodology":[87,117],"exploits":[88],"concept":[90],"patching":[92],"availability":[95],"overcome":[105],"inherent":[107],"challenges":[108],"CNNs":[110],"face":[111],"identification.":[114],"able":[119],"capture":[121],"and,":[126],"moreover,":[127],"boosts":[128],"robustness":[129],"prediction":[131],"accuracy":[132,206],"via":[133],"a":[134,145,181],"collaborative":[135],"voting":[136],"inference":[137],"process.":[138],"In":[139],"we":[142],"also":[143],"introduce":[144],"new":[146],"data":[147,193],"set":[148],"marcroscopic":[150],"timber,":[153],"called":[154],"GOIMAI-Phase-I,":[155],"which":[156],"has":[157,203],"been":[158],"obtained":[159],"using":[160],"optical":[161],"magnification,":[162],"openly":[165],"published":[166],"online":[167],"zenodo.":[169],"Our":[170],"experiments":[171],"have":[172],"assessed":[173],"performance":[175],"including":[180],"comparison":[182],"other":[184],"methodologies":[185],"available":[186],"literature,":[189],"an":[190],"exploration":[191],"augmentation":[194],"methods":[195],"effect":[198],"dataset":[201],"size":[202],"TDLI-PIV.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-03-06T00:00:00"}
