{"id":"https://openalex.org/W4416252401","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227917","title":"The Trade-off between Efficiency, Sustainability and Explainability: a Comparative Study on the Quality Control of Laboratory Consumables","display_name":"The Trade-off between Efficiency, Sustainability and Explainability: a Comparative Study on the Quality Control of Laboratory Consumables","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416252401","doi":"https://doi.org/10.1109/ijcnn64981.2025.11227917"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11227917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","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/A5013005246","display_name":"Paolo Pagliuca","orcid":"https://orcid.org/0000-0002-3780-3347"},"institutions":[{"id":"https://openalex.org/I4210166865","display_name":"Institute of Cognitive Sciences and Technologies","ror":"https://ror.org/05w9g2j85","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210155236","https://openalex.org/I4210166865"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Paolo Pagliuca","raw_affiliation_strings":["National Research Council (CNR),Institute of Cognitive Sciences and Technologies (ISTC),Rome,Italy"],"affiliations":[{"raw_affiliation_string":"National Research Council (CNR),Institute of Cognitive Sciences and Technologies (ISTC),Rome,Italy","institution_ids":["https://openalex.org/I4210166865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104282904","display_name":"Meriam Zribi","orcid":"https://orcid.org/0009-0003-6232-3745"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Meriam Zribi","raw_affiliation_strings":["Università Degli Studi di Roma La Sapienza,Department of Basic and Applied Sciences for Engineering,Rome,Italy"],"affiliations":[{"raw_affiliation_string":"Università Degli Studi di Roma La Sapienza,Department of Basic and Applied Sciences for Engineering,Rome,Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119281566","display_name":"Giulia Tufo","orcid":"https://orcid.org/0009-0003-8187-274X"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulia Tufo","raw_affiliation_strings":["Università Degli Studi di Roma La Sapienza,Department of Basic and Applied Sciences for Engineering,Rome,Italy"],"affiliations":[{"raw_affiliation_string":"Università Degli Studi di Roma La Sapienza,Department of Basic and Applied Sciences for Engineering,Rome,Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026579774","display_name":"Francesca Pitolli","orcid":"https://orcid.org/0000-0002-7159-0533"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesca Pitolli","raw_affiliation_strings":["Università Degli Studi di Roma La Sapienza,Department of Basic and Applied Sciences for Engineering,Rome,Italy"],"affiliations":[{"raw_affiliation_string":"Università Degli Studi di Roma La Sapienza,Department of Basic and Applied Sciences for Engineering,Rome,Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013005246"],"corresponding_institution_ids":["https://openalex.org/I4210166865"],"apc_list":null,"apc_paid":null,"fwci":2.8331,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.9309191,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.8015000224113464,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.8015000224113464,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11948","display_name":"Machine Learning in Materials Science","score":0.018400000408291817,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.012400000356137753,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sustainability","display_name":"Sustainability","score":0.6047000288963318},{"id":"https://openalex.org/keywords/consumables","display_name":"Consumables","score":0.5616000294685364},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4296000003814697},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.42669999599456787},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4185999929904938},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3682999908924103}],"concepts":[{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.6047000288963318},{"id":"https://openalex.org/C62126406","wikidata":"https://www.wikidata.org/wiki/Q1681365","display_name":"Consumables","level":2,"score":0.5616000294685364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48980000615119934},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.4745999872684479},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4296000003814697},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.42669999599456787},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4185999929904938},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4185999929904938},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33970001339912415},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C197947376","wikidata":"https://www.wikidata.org/wiki/Q5155608","display_name":"Comparability","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2702000141143799},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26600000262260437},{"id":"https://openalex.org/C130631938","wikidata":"https://www.wikidata.org/wiki/Q144894","display_name":"Intellectualization","level":2,"score":0.25540000200271606},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.25519999861717224},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.2506999969482422}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11227917","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11227917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2001092428","https://openalex.org/W2117539524","https://openalex.org/W2154433795","https://openalex.org/W2167277498","https://openalex.org/W2194775991","https://openalex.org/W2279057335","https://openalex.org/W2919115771","https://openalex.org/W2962858109","https://openalex.org/W3183198896","https://openalex.org/W3205172848","https://openalex.org/W4221067291","https://openalex.org/W4223635542","https://openalex.org/W4285263492","https://openalex.org/W4289932636","https://openalex.org/W4313421210","https://openalex.org/W4327771951","https://openalex.org/W4364352662","https://openalex.org/W4367846179","https://openalex.org/W4385059984","https://openalex.org/W4386619339","https://openalex.org/W4389082198","https://openalex.org/W4389827858","https://openalex.org/W4390510542","https://openalex.org/W4391848979","https://openalex.org/W4392386497","https://openalex.org/W4399582528","https://openalex.org/W4401046887","https://openalex.org/W4401908132","https://openalex.org/W4403123391","https://openalex.org/W4404112723","https://openalex.org/W4406698299"],"related_works":[],"abstract_inverted_index":{"Artificial":[0],"Intelligence":[1],"and":[2,15,46,94,152,163],"Deep":[3],"Learning":[4],"have":[5,86],"revolutionized":[6],"the":[7,47,55,110,123,136,169,179,191,203,207,211,218],"capability":[8,111],"to":[9,34,53,60,112,183],"handle":[10],"broad":[11],"amounts":[12],"of":[13,20,67,79,125,138,160,190],"data":[14],"maintain":[16],"a":[17,76,87,149,153,199],"high":[18],"standard":[19],"efficiency":[21],"in":[22,51,73,105,108,158],"many":[23],"sectors.":[24],"However,":[25],"there":[26],"are":[27,40,57,214],"still":[28],"some":[29],"major":[30],"shortcomings.":[31],"First,":[32],"due":[33],"their":[35,195],"increasing":[36],"complexity,":[37],"these":[38,84],"methods":[39,85],"often":[41],"used":[42,104],"as":[43],"black":[44],"boxes":[45],"features":[48],"they":[49],"consider":[50],"order":[52],"predict":[54],"outputs":[56],"not":[58],"easy":[59],"explain.":[61],"Furthermore,":[62],"complex":[63],"deep":[64,126],"networks":[65],"consist":[66],"multiple":[68],"layers":[69],"performing":[70],"several":[71],"computations":[72],"parallel,":[74],"with":[75,130],"remarkable":[77],"demand":[78],"resources.":[80],"This":[81],"implies":[82],"that":[83,168],"non":[88],"negligible":[89],"impact":[90],"on":[91],"sustainability,":[92],"waste":[93],"other":[95],"environmental":[96],"concerns.":[97],"Finally,":[98],"such":[99],"sophisticated":[100],"models":[101,128,147],"cannot":[102],"be":[103],"real-time":[106],"scenarios,":[107],"which":[109],"respond":[113],"promptly":[114],"is":[115,171],"pivotal.":[116],"In":[117,141],"this":[118],"work,":[119],"we":[120,143],"delve":[121],"into":[122],"analysis":[124],"network":[127,156],"coping":[129],"an":[131],"industrial":[132],"monitoring":[133],"scenario":[134],"involving":[135],"control":[137],"plastic":[139],"consumables.":[140],"particular,":[142],"compared":[144],"two":[145,219],"state-of-the-art":[146],"\u2014":[148,157],"vision":[150],"transformer":[151],"convolutional":[154],"neural":[155],"terms":[159],"efficiency,":[161],"sustainability":[162],"explainability.":[164],"Our":[165],"findings":[166],"show":[167],"former":[170],"slightly":[172],"more":[173],"effective,":[174],"but":[175],"less":[176],"sustainable":[177],"than":[178],"latter.":[180],"With":[181],"respect":[182],"explainability,":[184],"both":[185],"approaches":[186],"identify":[187],"specific":[188],"portions":[189],"input":[192],"images":[193],"affecting":[194],"predictions,":[196],"hence":[197],"providing":[198],"valid":[200],"justification":[201],"for":[202],"returned":[204],"output.":[205],"Nevertheless,":[206],"underlying":[208],"mechanisms":[209],"determining":[210],"importance":[212],"attributions":[213],"quite":[215],"different":[216],"among":[217],"models.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}