{"id":"https://openalex.org/W7171396201","doi":"https://doi.org/10.1007/s11227-026-08718-9","title":"Evolutionary feature selection for yield prediction of subtropical crops","display_name":"Evolutionary feature selection for yield prediction of subtropical crops","publication_year":2026,"publication_date":"2026-07-27","ids":{"openalex":"https://openalex.org/W7171396201","doi":"https://doi.org/10.1007/s11227-026-08718-9"},"language":"en","primary_location":{"id":"doi:10.1007/s11227-026-08718-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11227-026-08718-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11227-026-08718-9.pdf","source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"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":"The Journal of Supercomputing","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/s11227-026-08718-9.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063182900","display_name":"Hossein Nematzadeh","orcid":"https://orcid.org/0000-0002-6161-0430"},"institutions":[{"id":"https://openalex.org/I4210131232","display_name":"Modern College of Business and Science","ror":"https://ror.org/02hvzvg02","country_code":"OM","type":"education","lineage":["https://openalex.org/I4210131232"]},{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES","OM"],"is_corresponding":true,"raw_author_name":"Hossein Nematzadeh","raw_affiliation_strings":["ITIS Software, Edificio de Investigaci\u00f3n Ada Byron, Ampliaci\u00f3n del Campus de Teatinos, 29071, M\u00e1laga, Spain","Modern College of Business and Science, Muscat, Oman"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITIS Software, Edificio de Investigaci\u00f3n Ada Byron, Ampliaci\u00f3n del Campus de Teatinos, 29071, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]},{"raw_affiliation_string":"Modern College of Business and Science, Muscat, Oman","institution_ids":["https://openalex.org/I4210131232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068031755","display_name":"Sandro Hurtado","orcid":"https://orcid.org/0000-0003-0990-480X"},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Sandro Hurtado","raw_affiliation_strings":["Departamento de Lenguajes y Ciencias de la Computaci\u00f3n, Universidad de M\u00e1laga, M\u00e1laga, Spain","ITIS Software, Edificio de Investigaci\u00f3n Ada Byron, Ampliaci\u00f3n del Campus de Teatinos, 29071, M\u00e1laga, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Lenguajes y Ciencias de la Computaci\u00f3n, Universidad de M\u00e1laga, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]},{"raw_affiliation_string":"ITIS Software, Edificio de Investigaci\u00f3n Ada Byron, Ampliaci\u00f3n del Campus de Teatinos, 29071, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5143697798","display_name":"Jos\u00e9 F. Aldana-Montes","orcid":null},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 F. Aldana-Montes","raw_affiliation_strings":["Departamento de Lenguajes y Ciencias de la Computaci\u00f3n, Universidad de M\u00e1laga, M\u00e1laga, Spain","ITIS Software, Edificio de Investigaci\u00f3n Ada Byron, Ampliaci\u00f3n del Campus de Teatinos, 29071, M\u00e1laga, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Lenguajes y Ciencias de la Computaci\u00f3n, Universidad de M\u00e1laga, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]},{"raw_affiliation_string":"ITIS Software, Edificio de Investigaci\u00f3n Ada Byron, Ampliaci\u00f3n del Campus de Teatinos, 29071, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033733673","display_name":"Jos\u00e9 Garc\u00eda-Nieto","orcid":"https://orcid.org/0000-0003-2985-3480"},"institutions":[{"id":"https://openalex.org/I82767444","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28","country_code":"ES","type":"education","lineage":["https://openalex.org/I82767444"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Jos\u00e9 Garc\u00eda-Nieto","raw_affiliation_strings":["Departamento de Lenguajes y Ciencias de la Computaci\u00f3n, Universidad de M\u00e1laga, M\u00e1laga, Spain","ITIS Software, Edificio de Investigaci\u00f3n Ada Byron, Ampliaci\u00f3n del Campus de Teatinos, 29071, M\u00e1laga, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Lenguajes y Ciencias de la Computaci\u00f3n, Universidad de M\u00e1laga, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]},{"raw_affiliation_string":"ITIS Software, Edificio de Investigaci\u00f3n Ada Byron, Ampliaci\u00f3n del Campus de Teatinos, 29071, M\u00e1laga, Spain","institution_ids":["https://openalex.org/I82767444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033733673","https://openalex.org/A5063182900"],"corresponding_institution_ids":["https://openalex.org/I4210131232","https://openalex.org/I82767444"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.8542749,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"82","issue":"11","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.6323999762535095,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant 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"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.6323999762535095,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant 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"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.10119999945163727,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.04600000008940697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7853999733924866},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5598999857902527},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5425999760627747},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.42989999055862427},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4221999943256378},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4196999967098236},{"id":"https://openalex.org/keywords/crop-yield","display_name":"Crop yield","score":0.40470001101493835},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4023999869823456},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.39329999685287476}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7853999733924866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6396999955177307},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5598999857902527},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5425999760627747},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44839999079704285},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.42989999055862427},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4284000098705292},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4221999943256378},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4196999967098236},{"id":"https://openalex.org/C126343540","wikidata":"https://www.wikidata.org/wiki/Q889514","display_name":"Crop yield","level":2,"score":0.40470001101493835},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4023999869823456},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.39329999685287476},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.38960000872612},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.382099986076355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38100001215934753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37779998779296875},{"id":"https://openalex.org/C75778745","wikidata":"https://www.wikidata.org/wiki/Q342626","display_name":"Lag","level":2,"score":0.3546000123023987},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.32409998774528503},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.29120001196861267},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.27639999985694885},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27070000767707825},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.26969999074935913},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.258899986743927},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.2563999891281128}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11227-026-08718-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11227-026-08718-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11227-026-08718-9.pdf","source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"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":"The Journal of Supercomputing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s11227-026-08718-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11227-026-08718-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11227-026-08718-9.pdf","source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"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":"The Journal of Supercomputing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.5877501964569092}],"awards":[{"id":"https://openalex.org/G3480869486","display_name":null,"funder_award_id":"13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G4526231891","display_name":null,"funder_award_id":"MCIN / AEI/10","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G552739285","display_name":null,"funder_award_id":"MCIN/AEI/10","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G7084143925","display_name":null,"funder_award_id":"AEI/10","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320311265","display_name":"Universidad de M\u00e1laga","ror":"https://ror.org/036b2ww28"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7171396201.pdf","grobid_xml":"https://content.openalex.org/works/W7171396201.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1988199853","https://openalex.org/W2090182720","https://openalex.org/W2154053567","https://openalex.org/W2295598076","https://openalex.org/W2344500726","https://openalex.org/W2534605231","https://openalex.org/W2790215293","https://openalex.org/W2945650984","https://openalex.org/W2967078206","https://openalex.org/W2969691610","https://openalex.org/W2999681686","https://openalex.org/W3003977585","https://openalex.org/W3013734981","https://openalex.org/W3041169178","https://openalex.org/W3089632169","https://openalex.org/W3108531435","https://openalex.org/W3126417740","https://openalex.org/W3134696756","https://openalex.org/W3134882343","https://openalex.org/W3135871359","https://openalex.org/W3199298121","https://openalex.org/W3207447242","https://openalex.org/W3217216724","https://openalex.org/W4214495458","https://openalex.org/W4283727629","https://openalex.org/W4285589445","https://openalex.org/W4290719317","https://openalex.org/W4294238087","https://openalex.org/W4302363010","https://openalex.org/W4304098228","https://openalex.org/W4311765018","https://openalex.org/W4319039384","https://openalex.org/W4321601277","https://openalex.org/W4362677007","https://openalex.org/W4391031276","https://openalex.org/W4396886839","https://openalex.org/W4399817830","https://openalex.org/W4401628765","https://openalex.org/W4404066311","https://openalex.org/W4406542786","https://openalex.org/W4406899168","https://openalex.org/W4412391237","https://openalex.org/W4415800459"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Accurate":[1],"crop":[2,160],"yield":[3,133],"forecasting":[4,235],"requires":[5,191],"identifying":[6],"informative":[7,91],"predictors":[8],"from":[9,135],"high-dimensional":[10,261],"meteorological":[11],"time":[12,16,154],"series":[13],"with":[14,80,245],"multiple":[15,144],"lags.":[17],"Such":[18],"settings":[19],"often":[20],"lead":[21],"to":[22,60,197],"overfitting,":[23],"reduced":[24],"interpretability,":[25],"and":[26,131,155,162,200,241,247],"increased":[27],"computational":[28,242],"cost.":[29],"This":[30,147],"paper":[31],"proposes":[32],"a":[33,72,81,87,97,116],"two-phase":[34],"feature-selection":[35,249],"framework,":[36],"termed":[37],"CS":[38,167,213],"$$_\\text":[39,168,179,214],"{MRMR}$$":[40,169,215],"<mml:math":[41,51,170,181,216,226],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\">":[42,52,171,182,217,227],"<mml:mmultiscripts>":[43,53,172,183,218,228],"<mml:mrow/>":[44,46,54,56,173,175,184,186,219,221,229,231],"<mml:mtext>MRMR</mml:mtext>":[45,174,220],"</mml:mmultiscripts>":[47,57,176,187,222,232],"</mml:math>":[48,58,177,188,223,233],"-DWES":[49,178,224],"$$_R$$":[50,225],"<mml:mi>R</mml:mi>":[55,230],",":[59],"address":[61],"these":[62],"challenges":[63],"in":[64,141],"agricultural":[65,204,262],"time-series":[66,205,263],"regression.":[67],"In":[68,93],"the":[69,94,105,112,136,159,198,203,254,257],"first":[70],"phase,":[71,96],"supervised":[73],"filter":[74],"ranks":[75],"features":[76],"using":[77],"correlation":[78],"statistics":[79],"maximum":[82],"relevance-minimum":[83],"redundancy":[84],"criterion,":[85],"retaining":[86],"compact":[88],"subset":[89,108],"of":[90,115,128,139,202,256],"variables.":[92],"second":[95],"wrapper-based":[98],"discrete":[99],"weighted":[100],"evolutionary":[101],"strategy":[102],"automatically":[103],"selects":[104],"optimal":[106],"feature":[107,148,239],"by":[109],"directly":[110],"optimizing":[111],"predictive":[113],"performance":[114],"SARIMAX":[117],"regression":[118],"model.":[119],"The":[120,165],"proposed":[121,166,258],"framework":[122,189],"is":[123],"evaluated":[124],"on":[125,158],"20":[126],"years":[127],"monthly":[129],"avocado":[130],"mango":[132],"data":[134],"Axarqu\u00eda":[137],"region":[138],"M\u00e1laga":[140],"Spain":[142],"under":[143,207],"lag":[145],"configurations.":[146],"selection":[149],"might":[150],"slightly":[151],"change":[152],"over":[153],"depends":[156],"entirely":[157],"type":[161],"geographical":[163],"location.":[164],"{R}$$":[180],"<mml:mtext>R</mml:mtext>":[185],"inherently":[190],"high-performance":[192],"computing":[193],"(HPC)":[194],"capabilities":[195],"due":[196],"scale":[199],"complexity":[201],"datasets":[206],"study.":[208],"Experimental":[209],"results":[210],"show":[211],"that":[212],"improves":[234],"accuracy":[236],"while":[237],"reducing":[238],"dimensionality":[240],"cost":[243],"compared":[244],"baseline":[246],"existing":[248],"methods.":[250],"These":[251],"findings":[252],"highlight":[253],"effectiveness":[255],"approach":[259],"for":[260],"analysis.":[264]},"counts_by_year":[],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2026-07-28T00:00:00"}