{"id":"https://openalex.org/W7130516700","doi":"https://doi.org/10.35314/fsa3at15","title":"Assessing the Impact of Image Preprocessing on Convnext Performance for Waste Classification","display_name":"Assessing the Impact of Image Preprocessing on Convnext Performance for Waste Classification","publication_year":2026,"publication_date":"2026-02-19","ids":{"openalex":"https://openalex.org/W7130516700","doi":"https://doi.org/10.35314/fsa3at15"},"language":"en","primary_location":{"id":"doi:10.35314/fsa3at15","doi":"https://doi.org/10.35314/fsa3at15","is_oa":true,"landing_page_url":"https://doi.org/10.35314/fsa3at15","pdf_url":"https://jurnal.polbeng.ac.id/index.php/ISI/article/download/1444/632","source":{"id":"https://openalex.org/S4210175350","display_name":"INOVTEK Polbeng - Seri Informatika","issn_l":"2527-9866","issn":["2527-9866"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405276147","host_organization_name":"Politeknik Negeri Bengkalis","host_organization_lineage":["https://openalex.org/I4405276147"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"INOVTEK Polbeng - Seri Informatika","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://jurnal.polbeng.ac.id/index.php/ISI/article/download/1444/632","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126374719","display_name":"Ivander Destian Luis","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4392021167","display_name":"Universitas Multi Data Palembang","ror":"https://ror.org/04mv64y65","country_code":"ID","type":"education","lineage":["https://openalex.org/I4392021167"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Ivander Destian Luis","raw_affiliation_strings":["Multi Data Palembang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Multi Data Palembang University","institution_ids":["https://openalex.org/I4392021167"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121250032","display_name":"Tinaliah","orcid":"https://orcid.org/0000-0003-2189-806X","observed_orcids":["https://orcid.org/0000-0003-2189-806X"]},"institutions":[{"id":"https://openalex.org/I4392021167","display_name":"Universitas Multi Data Palembang","ror":"https://ror.org/04mv64y65","country_code":"ID","type":"education","lineage":["https://openalex.org/I4392021167"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Tinaliah","raw_affiliation_strings":["Multi Data Palembang University"],"raw_orcid":"https://orcid.org/0000-0003-2189-806X","affiliations":[{"raw_affiliation_string":"Multi Data Palembang University","institution_ids":["https://openalex.org/I4392021167"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4392021167"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"1","first_page":"65","last_page":"74"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9800000190734863,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9800000190734863,"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"}},{"id":"https://openalex.org/T14179","display_name":"Waste Management and Recycling","score":0.006599999964237213,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Waste Management and Disposal"},"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/T11108","display_name":"Municipal Solid Waste Management","score":0.006500000134110451,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Waste Management and Disposal"},"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/waste-classification","display_name":"waste classification","score":0.9570000171661377},{"id":"https://openalex.org/keywords/convnext","display_name":"ConvNeXt","score":0.8349999785423279},{"id":"https://openalex.org/keywords/image-preprocessing","display_name":"image preprocessing","score":0.9879999756813049},{"id":"https://openalex.org/keywords/clahe","display_name":"CLAHE","score":0.9599999785423279},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"bilateral filter","score":0.9929999709129333},{"id":"https://openalex.org/keywords/image-enhancement","display_name":"image enhancement","score":0.828000009059906},{"id":"https://openalex.org/keywords/waste-sorting","display_name":"waste sorting","score":0.7210000157356262},{"id":"https://openalex.org/keywords/model-training-time","display_name":"model training time","score":0.46700000762939453}],"concepts":[{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7897999882698059},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5774999856948853},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5253999829292297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5070000290870667},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4803999960422516},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3752000033855438},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.35690000653266907},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.34470000863075256},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33180001378059387},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.32120001316070557},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29840001463890076},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.27639999985694885},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.27300000190734863},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.26750001311302185},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.2624000012874603}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.35314/fsa3at15","doi":"https://doi.org/10.35314/fsa3at15","is_oa":true,"landing_page_url":"https://doi.org/10.35314/fsa3at15","pdf_url":"https://jurnal.polbeng.ac.id/index.php/ISI/article/download/1444/632","source":{"id":"https://openalex.org/S4210175350","display_name":"INOVTEK Polbeng - Seri Informatika","issn_l":"2527-9866","issn":["2527-9866"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405276147","host_organization_name":"Politeknik Negeri Bengkalis","host_organization_lineage":["https://openalex.org/I4405276147"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"INOVTEK Polbeng - Seri Informatika","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.35314/fsa3at15","doi":"https://doi.org/10.35314/fsa3at15","is_oa":true,"landing_page_url":"https://doi.org/10.35314/fsa3at15","pdf_url":"https://jurnal.polbeng.ac.id/index.php/ISI/article/download/1444/632","source":{"id":"https://openalex.org/S4210175350","display_name":"INOVTEK Polbeng - Seri Informatika","issn_l":"2527-9866","issn":["2527-9866"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405276147","host_organization_name":"Politeknik Negeri Bengkalis","host_organization_lineage":["https://openalex.org/I4405276147"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"INOVTEK Polbeng - Seri Informatika","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.8799999952316284}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7130516700.pdf","grobid_xml":"https://content.openalex.org/works/W7130516700.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W6946451848"],"related_works":["https://openalex.org/W4367281768","https://openalex.org/W7061145179","https://openalex.org/W7220668358","https://openalex.org/W4411143248","https://openalex.org/W7133243467","https://openalex.org/W4412931016","https://openalex.org/W7220954527","https://openalex.org/W4286744332","https://openalex.org/W4214489901","https://openalex.org/W4410728223"],"abstract_inverted_index":{"Waste":[0],"has":[1,58,85],"become":[2],"an":[3],"increasingly":[4],"urgent":[5],"environmental":[6],"issue":[7],"in":[8,259,295],"everyday":[9],"life.":[10],"The":[11,23,91,125,151,207,227],"waste":[12,27,56,74,81,87],"is":[13,68,94,127,309],"constantly":[14],"increasing":[15,24,240],"due":[16],"to":[17,32,60,222,242,314,317],"population":[18],"growth,":[19],"urbanization,":[20],"and":[21,99,112,142,167,174,201,231,245,248,267,319],"consumption.":[22],"amount":[25],"of":[26,37,43,48,52,55,64,101,131,137,146,158,180,188,219,225,229,264,298],"needs":[28],"more":[29],"intelligent":[30],"systems":[31,77],"help":[33],"with":[34,40,322],"the":[35,41,46,49,53,61,73,97,118,143,159,163,172,178,181,186,210,223,236,284,291,296,312],"management":[36,57],"waste,":[38],"especially":[39],"sorting":[42],"waste.":[44,65],"Unfortunately,":[45],"absence":[47],"public's":[50],"awareness":[51],"importance":[54],"led":[59],"ineffective":[62],"collection":[63,98],"Thus,":[66],"there":[67],"a":[69,193,216,250,260,279],"need":[70],"for":[71,177,254,290,311],"classifying":[72],"into":[75,129],"technological":[76],"based":[78,95],"on":[79,96,123],"various":[80],"types.":[82],"This":[83,115,183,301],"research":[84,92,184],"computing":[86],"types":[88],"using":[89,156,171,192,203],"ConvNetX.":[90],"methodology":[93],"preprocessing":[100,190,198,204,308],"data":[102,164],"that":[103,275,305],"includes":[104],"different":[105],"image":[106,189,307],"enhancement":[107],"techniques":[108],"such":[109],"as":[110,133,139,148],"CLAHE":[111,230],"bilateral":[113,232],"filtering.":[114],"study":[116],"employed":[117],"\u2018Garbage":[119],"Classification":[120],"Dataset\u2019":[121],"found":[122],"Kaggle.":[124],"dataset":[126],"split":[128,166],"80%":[130],"it":[132,138,147,241,303],"training":[134,160,179,262],"data,":[135,141],"10%":[136,145],"testing":[140],"last":[144],"validation":[149,173],"data.":[150],"ConvNeXt":[152],"model":[153,313],"was":[154,165,168,196,270,287],"trained":[155],"one":[157],"sets":[161,176],"after":[162],"subsequently":[169],"measured":[170],"test":[175],"model.":[182],"analyzed":[185],"effects":[187],"by":[191,239],"baseline,":[194],"which":[195,273],"no":[197],"(Scenario":[199,205],"1),":[200],"then":[202],"2).":[206],"results":[208],"from":[209],"experiments":[211],"showed":[212],"Scenario":[213,256,268,276],"2":[214,257,277],"had":[215,278],"higher":[217],"accuracy":[218],"94%":[220],"compared":[221],"baseline":[224],"90%.":[226],"use":[228],"filtering":[233],"positively":[234],"impacted":[235],"F1":[237],"score":[238],"Glass":[243],"(96%)":[244],"Plastic":[246],"(92%)":[247],"having":[249],"full":[251],"recall":[252],"(100%)":[253],"Metal.":[255],"resulted":[258],"total":[261],"time":[263,286],"20.86":[265],"minutes,":[266,272],"1":[269],"11.83":[271],"means":[274],"lower":[280],"computational":[281],"efficiency.":[282],"Nevertheless,":[283],"additional":[285],"well":[288],"spent":[289],"considerable":[292],"consistency":[293],"improvement":[294],"classification":[297],"all":[299],"categories.":[300],"makes":[302],"evident":[304],"substantial":[306],"necessary":[310],"be":[315],"able":[316],"generalize":[318],"classify":[320],"images":[321],"complex":[323],"visual":[324],"details.":[325]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-02-19T00:00:00"}