{"id":"https://openalex.org/W4386536197","doi":"https://doi.org/10.1109/access.2023.3313166","title":"Outdoor Trash Detection in Natural Environment Using a Deep Learning Model","display_name":"Outdoor Trash Detection in Natural Environment Using a Deep Learning Model","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386536197","doi":"https://doi.org/10.1109/access.2023.3313166"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3313166","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3313166","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10244010.pdf","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://ieeexplore.ieee.org/ielx7/6287639/6514899/10244010.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038563776","display_name":"Dhrubajyoti Das","orcid":"https://orcid.org/0000-0003-2419-1641"},"institutions":[{"id":"https://openalex.org/I102782458","display_name":"Chittagong University of Engineering & Technology","ror":"https://ror.org/052qsay17","country_code":"BD","type":"education","lineage":["https://openalex.org/I102782458"]},{"id":"https://openalex.org/I76129166","display_name":"Premier University","ror":"https://ror.org/02j96nm37","country_code":"BD","type":"education","lineage":["https://openalex.org/I76129166"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Dhrubajyoti Das","raw_affiliation_strings":["Department of Computer Science and Engineering, Chittagong University of Engineering and Technology (CUET), Chattogram, Bangladesh","Department of Computer Science and Engineering, Premier University, Chattogram, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0003-2419-1641","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chittagong University of Engineering and Technology (CUET), Chattogram, Bangladesh","institution_ids":["https://openalex.org/I102782458"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Premier University, Chattogram, Bangladesh","institution_ids":["https://openalex.org/I76129166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086809571","display_name":"Kaushik Deb","orcid":"https://orcid.org/0000-0002-7345-0999"},"institutions":[{"id":"https://openalex.org/I102782458","display_name":"Chittagong University of Engineering & Technology","ror":"https://ror.org/052qsay17","country_code":"BD","type":"education","lineage":["https://openalex.org/I102782458"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Kaushik Deb","raw_affiliation_strings":["Department of Computer Science and Engineering, Chittagong University of Engineering and Technology (CUET), Chattogram, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0002-7345-0999","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chittagong University of Engineering and Technology (CUET), Chattogram, Bangladesh","institution_ids":["https://openalex.org/I102782458"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014848911","display_name":"Taufique Sayeed","orcid":null},"institutions":[{"id":"https://openalex.org/I76129166","display_name":"Premier University","ror":"https://ror.org/02j96nm37","country_code":"BD","type":"education","lineage":["https://openalex.org/I76129166"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Taufique Sayeed","raw_affiliation_strings":["Department of Computer Science and Engineering, Premier University, Chattogram, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Premier University, Chattogram, Bangladesh","institution_ids":["https://openalex.org/I76129166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072911040","display_name":"Pranab Kumar Dhar","orcid":"https://orcid.org/0000-0002-9664-3056"},"institutions":[{"id":"https://openalex.org/I102782458","display_name":"Chittagong University of Engineering & Technology","ror":"https://ror.org/052qsay17","country_code":"BD","type":"education","lineage":["https://openalex.org/I102782458"]},{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["BD","JP"],"is_corresponding":false,"raw_author_name":"Pranab Kumar Dhar","raw_affiliation_strings":["Department of Computer Science and Engineering, Chittagong University of Engineering and Technology (CUET), Chattogram, Bangladesh","Faculty of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo, Japan"],"raw_orcid":"https://orcid.org/0000-0002-9664-3056","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chittagong University of Engineering and Technology (CUET), Chattogram, Bangladesh","institution_ids":["https://openalex.org/I102782458"]},{"raw_affiliation_string":"Faculty of Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036337826","display_name":"Tetsuya Shimamura","orcid":"https://orcid.org/0000-0002-7874-3467"},"institutions":[{"id":"https://openalex.org/I72253084","display_name":"Saitama University","ror":"https://ror.org/02evnh647","country_code":"JP","type":"education","lineage":["https://openalex.org/I72253084"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Shimamura","raw_affiliation_strings":["Department of Information and Computer Sciences, Saitama University, Sakura-ku, Saitama, Japan","Department of Information and Computer Sciences, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7874-3467","affiliations":[{"raw_affiliation_string":"Department of Information and Computer Sciences, Saitama University, Sakura-ku, Saitama, Japan","institution_ids":["https://openalex.org/I72253084"]},{"raw_affiliation_string":"Department of Information and Computer Sciences, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama, Japan","institution_ids":["https://openalex.org/I72253084"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.021,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88950996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"97549","last_page":"97566"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9876000285148621,"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":0.9876000285148621,"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/T11108","display_name":"Municipal Solid Waste Management","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing 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/T12920","display_name":"Healthcare and Environmental Waste Management","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8429684638977051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.730643630027771},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6977400779724121},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.6965480446815491},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6826508045196533},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5480870604515076},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4817923903465271},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4733355641365051},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.41273748874664307},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3802039325237274},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37446919083595276},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.07311007380485535}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8429684638977051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.730643630027771},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6977400779724121},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.6965480446815491},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6826508045196533},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5480870604515076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4817923903465271},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4733355641365051},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.41273748874664307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3802039325237274},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37446919083595276},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.07311007380485535},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3313166","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3313166","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10244010.pdf","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:dac04d9c258d4f87822087edb8176666","is_oa":true,"landing_page_url":"https://doaj.org/article/dac04d9c258d4f87822087edb8176666","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 11, Pp 97549-97566 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3313166","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3313166","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10244010.pdf","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":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.49000000953674316},{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386536197.pdf","grobid_xml":"https://content.openalex.org/works/W4386536197.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1861492603","https://openalex.org/W2102605133","https://openalex.org/W2108598243","https://openalex.org/W2618880124","https://openalex.org/W2806493999","https://openalex.org/W2808842256","https://openalex.org/W2889985731","https://openalex.org/W2899663614","https://openalex.org/W2923879367","https://openalex.org/W2962834855","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2963857746","https://openalex.org/W2979316401","https://openalex.org/W2995878390","https://openalex.org/W3011137323","https://openalex.org/W3018757597","https://openalex.org/W3034971973","https://openalex.org/W3042011474","https://openalex.org/W3042790166","https://openalex.org/W3043995050","https://openalex.org/W3099319035","https://openalex.org/W3101733737","https://openalex.org/W3103889740","https://openalex.org/W3106250896","https://openalex.org/W3115506949","https://openalex.org/W3173253524","https://openalex.org/W3180862025","https://openalex.org/W3185908659","https://openalex.org/W3196041419","https://openalex.org/W3199194340","https://openalex.org/W3199249067","https://openalex.org/W3200440946","https://openalex.org/W3200991502","https://openalex.org/W3210642002","https://openalex.org/W3211858416","https://openalex.org/W4200580899","https://openalex.org/W4200583655","https://openalex.org/W4205097308","https://openalex.org/W4210884831","https://openalex.org/W4280635582","https://openalex.org/W4281718891","https://openalex.org/W4283791586","https://openalex.org/W4285394109","https://openalex.org/W4292838329","https://openalex.org/W4293215762","https://openalex.org/W4293584584","https://openalex.org/W4296280868","https://openalex.org/W4297676427","https://openalex.org/W4306881748","https://openalex.org/W4313303206","https://openalex.org/W4323351162","https://openalex.org/W6620707391","https://openalex.org/W6639102338","https://openalex.org/W6750227808","https://openalex.org/W6755977528","https://openalex.org/W6777046832","https://openalex.org/W6785652829","https://openalex.org/W6843239693","https://openalex.org/W6846180834","https://openalex.org/W6931202655"],"related_works":["https://openalex.org/W4287991909","https://openalex.org/W4390721878","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W3034745255","https://openalex.org/W4254103348","https://openalex.org/W4387490204","https://openalex.org/W4382050342","https://openalex.org/W3212239346","https://openalex.org/W4389848424"],"abstract_inverted_index":{"Trash":[0],"production":[1],"and":[2,24,41,52,107,115,139,152,159,171,212,223,252],"disposal":[3],"have":[4,15,44],"emerged":[5],"as":[6,12,97],"serious":[7],"issues":[8],"for":[9,46,193],"underdeveloped":[10],"nations":[11],"their":[13],"populations":[14],"swelled.":[16],"As":[17],"manual":[18],"classification":[19,53],"can":[20],"be":[21],"both":[22,110,209],"time-consuming":[23],"potentially":[25],"dangerous,":[26],"therefore,":[27],"nowadays,":[28],"it":[29],"is":[30,187,238],"increasingly":[31],"being":[32],"replaced":[33],"by":[34],"automated":[35],"methods.":[36],"Recent":[37],"advances":[38],"in":[39,49,132,228],"AI":[40],"deep":[42,93],"learning":[43,94],"allowed":[45],"significant":[47],"advancements":[48],"trash":[50,62],"detection":[51,63,230],"systems.":[54],"Due":[55],"to":[56,66,71,189],"the":[57,78,102,111,116,125,142,145,176,182,185,198,205,210,233],"lack":[58],"of":[59,80,101,134,150,155,165,196,221,226],"a":[60,92,162],"comprehensive":[61],"dataset":[64,114],"tailored":[65],"Bangladesh,":[67],"we":[68,90],"set":[69],"out":[70],"collect":[72],"data":[73,178],"that":[74,124],"would":[75],"accurately":[76],"portray":[77],"complexity":[79],"Bangladesh\u2019s":[81],"scenario":[82],"while":[83],"also":[84,217],"incorporating":[85,175],"openlittermap.":[86],"In":[87,191],"this":[88],"study,":[89],"employ":[91],"model":[95,104,128,146,200,216],"known":[96],"YOLOv5.":[98],"Several":[99],"variants":[100,195],"YOLOv5":[103,127],"are":[105],"used":[106],"assessed":[108],"with":[109,232],"freshly":[112],"minted":[113],"already":[117],"existing":[118,130],"benchmark":[119],"datasets.":[120,214],"Simulation":[121],"results":[122],"indicate":[123],"finetuned":[126],"outperforms":[129],"models":[131],"terms":[133],"mean":[135],"average":[136],"precision":[137],"(mAP)":[138],"F1-score.":[140],"On":[141],"Bangladeshi":[143],"dataset,":[144,184],"shows":[147],"an":[148,153,219,224],"mAP":[149,158,186,203,220],"34.3%":[151],"F1-score":[154,160,225],"43.7%.":[156],"The":[157,215],"provide":[161],"holistic":[163],"evaluation":[164],"YOLOv5\u2019s":[166],"object":[167],"recognition":[168],"accuracy,":[169,251],"localization,":[170],"precision-recall":[172],"balance.":[173],"By":[174],"additional":[177],"from":[179],"openlittermap":[180],"into":[181],"new":[183],"increased":[188],"45.4%.":[190],"addition,":[192],"some":[194],"YOLOv5,":[197],"suggested":[199],"produces":[201],"greater":[202],"than":[204],"current":[206],"literature":[207],"on":[208,241],"TACO":[211],"PlastOpol":[213],"achieves":[218],"84.4%":[222],"78.2%":[227],"single-class":[229],"experiments":[231],"newly":[234],"created":[235],"dataset.":[236],"This":[237],"because":[239],"concentrating":[240],"just":[242],"one":[243],"class":[244,247,254],"helps":[245],"eliminate":[246],"ambiguity,":[248],"improves":[249],"localization":[250],"mitigates":[253],"imbalance.":[255]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
