{"id":"https://openalex.org/W3203358546","doi":"https://doi.org/10.1145/3469968.3469973","title":"E-Waste Management Using Machine Learning","display_name":"E-Waste Management Using Machine Learning","publication_year":2021,"publication_date":"2021-05-22","ids":{"openalex":"https://openalex.org/W3203358546","doi":"https://doi.org/10.1145/3469968.3469973","mag":"3203358546"},"language":"en","primary_location":{"id":"doi:10.1145/3469968.3469973","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469968.3469973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 6th International Conference on Big Data and Computing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088452779","display_name":"Haomiao Li","orcid":"https://orcid.org/0000-0001-6997-9614"},"institutions":[{"id":"https://openalex.org/I4210153668","display_name":"Wenzhou-Kean University","ror":"https://ror.org/05609xa16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153668"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haomiao Li","raw_affiliation_strings":["Wenzhou Kean University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wenzhou Kean University, China","institution_ids":["https://openalex.org/I4210153668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034456222","display_name":"Zian Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153668","display_name":"Wenzhou-Kean University","ror":"https://ror.org/05609xa16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153668"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zian Jin","raw_affiliation_strings":["Wenzhou Kean University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wenzhou Kean University, China","institution_ids":["https://openalex.org/I4210153668"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055294491","display_name":"Sujatha Krishnamoorthy","orcid":"https://orcid.org/0000-0002-0122-6357"},"institutions":[{"id":"https://openalex.org/I4210153668","display_name":"Wenzhou-Kean University","ror":"https://ror.org/05609xa16","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210153668"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sujatha Krishnamoorthy","raw_affiliation_strings":["Wenzhou Kean University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wenzhou Kean University, China","institution_ids":["https://openalex.org/I4210153668"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210153668"],"apc_list":null,"apc_paid":null,"fwci":5.0188,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.96271564,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"30","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12017","display_name":"Recycling and Waste Management Techniques","score":0.9973999857902527,"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"}},"topics":[{"id":"https://openalex.org/T12017","display_name":"Recycling and Waste Management Techniques","score":0.9973999857902527,"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":0.9715999960899353,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9246000051498413,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/realm","display_name":"Realm","score":0.581756591796875},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5686801671981812},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5067539811134338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5020453929901123},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4975326359272003},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.43138301372528076},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40701159834861755},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.09058201313018799}],"concepts":[{"id":"https://openalex.org/C2778757428","wikidata":"https://www.wikidata.org/wiki/Q1250464","display_name":"Realm","level":2,"score":0.581756591796875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5686801671981812},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5067539811134338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5020453929901123},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4975326359272003},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.43138301372528076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40701159834861755},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.09058201313018799},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3469968.3469973","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469968.3469973","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 6th International Conference on Big Data and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1672580646","https://openalex.org/W1966423564","https://openalex.org/W2067449546","https://openalex.org/W2395378344","https://openalex.org/W2522127752","https://openalex.org/W2538904044","https://openalex.org/W2588726601","https://openalex.org/W2597097035","https://openalex.org/W2605391457","https://openalex.org/W2612445135","https://openalex.org/W2618530766","https://openalex.org/W2750419974","https://openalex.org/W2888000599","https://openalex.org/W2896027496","https://openalex.org/W2900991105","https://openalex.org/W2957144356","https://openalex.org/W2986539977","https://openalex.org/W2991515475","https://openalex.org/W2991816849","https://openalex.org/W3010136656"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W4310224730","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856","https://openalex.org/W3094138326"],"abstract_inverted_index":{"In":[0],"the":[1,82,99,105,126,154,181,186,190,205],"realm":[2],"of":[3,44,53,57,75,98,107,128,168,176],"innovation,":[4],"as":[5],"individuals":[6],"begin":[7],"adjusting":[8],"to":[9,90,94,118,140],"new":[10],"development,":[11],"advancement":[12],"begins":[13],"clearing":[14],"its":[15,159],"way":[16],"into":[17],"individuals'":[18],"lives.":[19],"Each":[20],"adjustment":[21],"in":[22,87,196,201],"innovation":[23],"gets":[24],"better":[25],"than":[26],"ever,":[27],"with":[28,115],"old":[29],"gadgets":[30],"being":[31],"supplanted":[32],"and":[33,37,67,134,158],"deserted.":[34],"Such":[35],"Electronic":[36],"Electrical":[38],"Equipments":[39],"(EEEs)":[40],"that":[41,63,77],"are":[42,47,51],"disposed":[43],"by":[45,124,143],"clients":[46],"named":[48],"e-waste.":[49,101],"EEEs":[50,76],"comprised":[52],"a":[54,116,121],"large":[55],"number":[56],"segments,":[58],"some":[59],"containing":[60],"poisonous":[61],"substances":[62],"affect":[64],"human":[65],"wellbeing":[66],"climate,":[68],"if":[69],"not":[70],"handled":[71],"appropriately.":[72],"The":[73,166],"volume":[74],"is":[78],"delivered":[79],"all":[80],"through":[81],"world,":[83],"has":[84],"driven":[85],"governments":[86],"different":[88],"nations":[89],"make":[91],"severe":[92],"arrangements,":[93],"guarantee":[95],"effective":[96],"removal":[97],"created":[100],"This":[102],"paper":[103],"presents":[104],"utilization":[106,167],"ML":[108,138],"(Machine":[109],"Learning)":[110],"for":[111,146],"E-Waste":[112],"Management":[113],"framework":[114],"center":[117],"build":[119],"up":[120],"prescient":[122],"model":[123,157],"contrasting":[125],"presentation":[127],"gradient":[129],"boosting":[130],"regression":[131],"tree":[132],"(GBRT)":[133],"Neural":[135],"Network":[136],"(NN)":[137],"calculations":[139],"gauge":[141],"week":[142,144],"e-wastage":[145],"every":[147],"Urban":[148],"sub-segments.":[149],"Various":[150],"information-driven":[151],"strategies":[152],"incorporate":[153],"current":[155],"designed":[156],"alteration":[160],"alongside":[161],"regular":[162],"machine":[163],"learning":[164],"calculations.":[165],"Machine":[169],"Learning":[170],"calculation":[171],"gives":[172],"improved":[173],"arrangement":[174],"exactness":[175],"99.1":[177],"%":[178],"when":[179],"utilizing":[180,204],"best":[182],"performing":[183],"algorithm.":[184],"Notwithstanding":[185],"prominent":[187],"quantitative":[188],"upgrades,":[189],"proposed":[191],"plan":[192],"can":[193],"likewise":[194],"help":[195],"enhancing":[197],"long-haul":[198],"e-waste":[199],"management":[200],"smart-city":[202],"ambient":[203],"recorded":[206],"insights.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-18T07:49:30.821534","created_date":"2025-10-10T00:00:00"}
