{"id":"https://openalex.org/W4399530733","doi":"https://doi.org/10.1145/3644815.3644943","title":"Engineering Carbon Emission-aware Machine Learning Pipelines","display_name":"Engineering Carbon Emission-aware Machine Learning Pipelines","publication_year":2024,"publication_date":"2024-04-14","ids":{"openalex":"https://openalex.org/W4399530733","doi":"https://doi.org/10.1145/3644815.3644943"},"language":"en","primary_location":{"id":"doi:10.1145/3644815.3644943","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3644815.3644943","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3644815.3644943","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3644815.3644943","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002668348","display_name":"Erik Johannes Husom","orcid":"https://orcid.org/0000-0002-9325-1604"},"institutions":[{"id":"https://openalex.org/I173888879","display_name":"SINTEF","ror":"https://ror.org/01f677e56","country_code":"NO","type":"facility","lineage":["https://openalex.org/I173888879"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Erik Johannes Husom","raw_affiliation_strings":["SINTEF, Oslo, Norway"],"raw_orcid":"https://orcid.org/0000-0002-9325-1604","affiliations":[{"raw_affiliation_string":"SINTEF, Oslo, Norway","institution_ids":["https://openalex.org/I173888879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065907664","display_name":"Sagar Sen","orcid":"https://orcid.org/0000-0002-5784-7355"},"institutions":[{"id":"https://openalex.org/I173888879","display_name":"SINTEF","ror":"https://ror.org/01f677e56","country_code":"NO","type":"facility","lineage":["https://openalex.org/I173888879"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Sagar Sen","raw_affiliation_strings":["SINTEF, Oslo, Norway"],"raw_orcid":"https://orcid.org/0000-0002-5784-7355","affiliations":[{"raw_affiliation_string":"SINTEF, Oslo, Norway","institution_ids":["https://openalex.org/I173888879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087161990","display_name":"Arda G\u00f6knil","orcid":"https://orcid.org/0000-0002-2170-2066"},"institutions":[{"id":"https://openalex.org/I173888879","display_name":"SINTEF","ror":"https://ror.org/01f677e56","country_code":"NO","type":"facility","lineage":["https://openalex.org/I173888879"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Arda Goknil","raw_affiliation_strings":["SINTEF, Oslo, Norway"],"raw_orcid":"https://orcid.org/0000-0002-2170-2066","affiliations":[{"raw_affiliation_string":"SINTEF, Oslo, Norway","institution_ids":["https://openalex.org/I173888879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5406,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.60819729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"118","last_page":"128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10435","display_name":"Environmental Impact and Sustainability","score":0.9634000062942505,"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"}},"topics":[{"id":"https://openalex.org/T10435","display_name":"Environmental Impact and Sustainability","score":0.9634000062942505,"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"}},{"id":"https://openalex.org/T11954","display_name":"Energy Efficiency and Management","score":0.95660001039505,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9154999852180481,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/pipeline","display_name":"Pipeline (software)","score":0.6646759510040283},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6203588843345642},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.6066891551017761},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5940260887145996},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5640274286270142},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5299625992774963},{"id":"https://openalex.org/keywords/greenhouse-gas","display_name":"Greenhouse gas","score":0.45182886719703674},{"id":"https://openalex.org/keywords/machining","display_name":"Machining","score":0.42258191108703613},{"id":"https://openalex.org/keywords/manufacturing-engineering","display_name":"Manufacturing engineering","score":0.40080526471138},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2927408218383789},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.15288597345352173},{"id":"https://openalex.org/keywords/environmental-engineering","display_name":"Environmental engineering","score":0.15197518467903137},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.1445481777191162},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.1139255166053772}],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6646759510040283},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6203588843345642},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.6066891551017761},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5940260887145996},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5640274286270142},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5299625992774963},{"id":"https://openalex.org/C47737302","wikidata":"https://www.wikidata.org/wiki/Q167336","display_name":"Greenhouse gas","level":2,"score":0.45182886719703674},{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.42258191108703613},{"id":"https://openalex.org/C117671659","wikidata":"https://www.wikidata.org/wiki/Q11049265","display_name":"Manufacturing engineering","level":1,"score":0.40080526471138},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2927408218383789},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.15288597345352173},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.15197518467903137},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.1445481777191162},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.1139255166053772},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3644815.3644943","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3644815.3644943","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3644815.3644943","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI","raw_type":"proceedings-article"},{"id":"pmh:oai:sintef.brage.unit.no:11250/3145157","is_oa":true,"landing_page_url":"https://hdl.handle.net/11250/3145157","pdf_url":null,"source":{"id":"https://openalex.org/S4306401716","display_name":"Duo Research Archive (University of Oslo)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184942183","host_organization_name":"University of Oslo","host_organization_lineage":["https://openalex.org/I184942183"],"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":"118-128","raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":{"id":"doi:10.1145/3644815.3644943","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3644815.3644943","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3644815.3644943","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4183413234","display_name":null,"funder_award_id":"101120657","funder_id":"https://openalex.org/F4320334322","funder_display_name":"HORIZON EUROPE Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399530733.pdf"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2282821441","https://openalex.org/W2618851150","https://openalex.org/W2788403449","https://openalex.org/W2905588001","https://openalex.org/W2962862931","https://openalex.org/W2967988901","https://openalex.org/W2972574632","https://openalex.org/W2997591727","https://openalex.org/W3035962740","https://openalex.org/W3047350978","https://openalex.org/W3208860256","https://openalex.org/W3213776081","https://openalex.org/W3214897310","https://openalex.org/W4241832412","https://openalex.org/W4255949318","https://openalex.org/W4285273182","https://openalex.org/W4289822451","https://openalex.org/W4294559022","https://openalex.org/W4296120937","https://openalex.org/W4317486313","https://openalex.org/W4321107308","https://openalex.org/W4365445583","https://openalex.org/W4379659824","https://openalex.org/W4383098233","https://openalex.org/W6931685205"],"related_works":["https://openalex.org/W4380433113","https://openalex.org/W4386072068","https://openalex.org/W252339960","https://openalex.org/W2390529043","https://openalex.org/W2378320433","https://openalex.org/W2358343511","https://openalex.org/W2051877971","https://openalex.org/W1970117064","https://openalex.org/W1787170397","https://openalex.org/W4292347844"],"abstract_inverted_index":{"The":[0,140],"proliferation":[1],"of":[2,30,56,88,106,125,135,142,187],"machine":[3],"learning":[4],"(ML)":[5],"has":[6,14],"brought":[7],"unprecedented":[8],"advancements":[9],"in":[10,36,102,146,169],"technology,":[11],"but":[12,177],"it":[13],"also":[15,178],"raised":[16],"concerns":[17],"about":[18],"its":[19],"environmental":[20],"impact,":[21],"particularly":[22],"concerning":[23],"carbon":[24,50,126,155,181],"emissions.":[25,156],"To":[26],"address":[27],"the":[28,53,86,103,123,133,160,185],"imperative":[29],"environmentally":[31],"responsible":[32,190],"ML,":[33],"we":[34],"present":[35],"this":[37],"paper":[38],"a":[39,129,148,170],"novel":[40],"ML":[41,57,89,137,167],"pipeline,":[42],"named":[43],"CEMAI,":[44],"designed":[45],"to":[46,63,91,162],"monitor":[47],"and":[48,65,99,116,153],"analyze":[49],"emissions":[51,127],"across":[52],"entire":[54],"lifecycle":[55],"model":[58],"development,":[59],"from":[60,113],"data":[61,111],"preparation":[62],"training":[64],"deployment.":[66],"Our":[67,157],"endeavor":[68],"involves":[69],"an":[70,136],"exhaustive":[71],"evaluation":[72],"process":[73],"underpinned":[74],"by":[75],"three":[76],"industrial":[77],"case":[78,81],"studies.":[79],"These":[80],"studies":[82],"are":[83],"structured":[84],"around":[85],"application":[87],"models":[90,168],"predict":[92],"tool":[93],"wear,":[94],"estimate":[95],"remaining":[96],"useful":[97],"lifetimes,":[98],"detect":[100],"anomalies":[101],"Industrial":[104],"Internet":[105],"Things":[107],"(IIoT).":[108],"Leveraging":[109],"sensor":[110],"originating":[112],"CNC":[114],"machining":[115],"broaching":[117],"operations,":[118],"our":[119,143],"research":[120],"shows":[121],"empirically":[122],"efficacy":[124],"as":[128],"dependable":[130],"metric":[131],"guiding":[132],"configuration":[134],"development":[138],"process.":[139],"essence":[141],"approach":[144],"lies":[145],"striking":[147],"balance":[149],"between":[150],"superior":[151],"performance":[152,176],"minimal":[154],"findings":[158],"reveal":[159],"potential":[161],"optimize":[163],"pipeline":[164],"configurations":[165],"for":[166],"manner":[171],"that":[172],"not":[173],"only":[174],"enhances":[175],"drastically":[179],"reduces":[180],"emissions,":[182],"thereby":[183],"underlining":[184],"significance":[186],"adopting":[188],"ecologically":[189],"engineering":[191],"practices.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
