{"id":"https://openalex.org/W4398173722","doi":"https://doi.org/10.1109/icmre60776.2024.10532204","title":"Application of Artificial Intelligence Techniques to a Sensorial Module","display_name":"Application of Artificial Intelligence Techniques to a Sensorial Module","publication_year":2024,"publication_date":"2024-02-27","ids":{"openalex":"https://openalex.org/W4398173722","doi":"https://doi.org/10.1109/icmre60776.2024.10532204"},"language":"en","primary_location":{"id":"doi:10.1109/icmre60776.2024.10532204","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icmre60776.2024.10532204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Mechatronics and Robotics Engineering (ICMRE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/10216/153277","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104309721","display_name":"Jo\u00e3o C. Pimentel","orcid":null},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Jo\u00e3o C. Pimentel","raw_affiliation_strings":["Fac. de Engenharia, Univ. do Porto, Rua Dr. Roberto Frias,SYSTEC (DIGI2), ARISE &#x0026; ECE Dept,Porto,Portugal,4200-465"],"affiliations":[{"raw_affiliation_string":"Fac. de Engenharia, Univ. do Porto, Rua Dr. Roberto Frias,SYSTEC (DIGI2), ARISE &#x0026; ECE Dept,Porto,Portugal,4200-465","institution_ids":["https://openalex.org/I182534213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111207593","display_name":"Artur F. Gon\u00e7alves","orcid":null},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Artur F. Gon\u00e7alves","raw_affiliation_strings":["Fac. de Engenharia, Univ. do Porto, Rua Dr. Roberto Frias,SYSTEC (DIGI2), ARISE &#x0026; ECE Dept,Porto,Portugal,4200-465"],"affiliations":[{"raw_affiliation_string":"Fac. de Engenharia, Univ. do Porto, Rua Dr. Roberto Frias,SYSTEC (DIGI2), ARISE &#x0026; ECE Dept,Porto,Portugal,4200-465","institution_ids":["https://openalex.org/I182534213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055529819","display_name":"V\u00edtor H. Pinto","orcid":"https://orcid.org/0000-0002-7840-0333"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"V\u00edtor H. Pinto","raw_affiliation_strings":["Fac. de Engenharia, Univ. do Porto, Rua Dr. Roberto Frias,SYSTEC (DIGI2), ARISE &#x0026; ECE Dept,Porto,Portugal,4200-465"],"affiliations":[{"raw_affiliation_string":"Fac. de Engenharia, Univ. do Porto, Rua Dr. Roberto Frias,SYSTEC (DIGI2), ARISE &#x0026; ECE Dept,Porto,Portugal,4200-465","institution_ids":["https://openalex.org/I182534213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008404992","display_name":"Gil Gon\u00e7alves","orcid":"https://orcid.org/0000-0001-7757-7308"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Gil Gon\u00e7alves","raw_affiliation_strings":["Fac. de Engenharia, Univ. do Porto, Rua Dr. Roberto Frias,SYSTEC (DIGI2), ARISE &#x0026; ECE Dept,Porto,Portugal,4200-465"],"affiliations":[{"raw_affiliation_string":"Fac. de Engenharia, Univ. do Porto, Rua Dr. Roberto Frias,SYSTEC (DIGI2), ARISE &#x0026; ECE Dept,Porto,Portugal,4200-465","institution_ids":["https://openalex.org/I182534213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5104309721"],"corresponding_institution_ids":["https://openalex.org/I182534213"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08725179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"22","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9470000267028809,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.945900022983551,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/boosting","display_name":"Boosting (machine learning)","score":0.6654371023178101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6276131868362427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6261616945266724},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6112611889839172},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6087074279785156},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5540763139724731},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5532759428024292},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5174577832221985},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5010383129119873},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4817911982536316},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.4681546688079834},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4181000292301178},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39396870136260986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17560434341430664},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12103328108787537}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6654371023178101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6276131868362427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6261616945266724},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6112611889839172},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6087074279785156},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5540763139724731},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5532759428024292},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5174577832221985},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5010383129119873},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4817911982536316},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.4681546688079834},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4181000292301178},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39396870136260986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17560434341430664},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12103328108787537},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"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":3,"locations":[{"id":"doi:10.1109/icmre60776.2024.10532204","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icmre60776.2024.10532204","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Mechatronics and Robotics Engineering (ICMRE)","raw_type":"proceedings-article"},{"id":"pmh:oai:repositorio-aberto.up.pt:10216/153277","is_oa":true,"landing_page_url":"https://hdl.handle.net/10216/153277","pdf_url":null,"source":{"id":"https://openalex.org/S4306401934","display_name":"Open Repository of the University of Porto (University of Porto)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I182534213","host_organization_name":"Universidade do Porto","host_organization_lineage":["https://openalex.org/I182534213"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"master thesis"},{"id":"doi:10.34626/50fn-6s86","is_oa":true,"landing_page_url":"https://doi.org/10.34626/50fn-6s86","pdf_url":null,"source":{"id":"https://openalex.org/S7407051329","display_name":"Universidade do Porto","issn_l":null,"issn":[],"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"thesis"}],"best_oa_location":{"id":"pmh:oai:repositorio-aberto.up.pt:10216/153277","is_oa":true,"landing_page_url":"https://hdl.handle.net/10216/153277","pdf_url":null,"source":{"id":"https://openalex.org/S4306401934","display_name":"Open Repository of the University of Porto (University of Porto)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I182534213","host_organization_name":"Universidade do Porto","host_organization_lineage":["https://openalex.org/I182534213"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"master thesis"},"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W635203748","https://openalex.org/W2181616869","https://openalex.org/W2528999066","https://openalex.org/W2765518339","https://openalex.org/W2939398318","https://openalex.org/W3080149518","https://openalex.org/W3080272905","https://openalex.org/W3128082127","https://openalex.org/W3215656638","https://openalex.org/W4200242322","https://openalex.org/W4206456377","https://openalex.org/W4250024550","https://openalex.org/W4281784047","https://openalex.org/W4296632336","https://openalex.org/W4319030144","https://openalex.org/W6620323220","https://openalex.org/W6685764666"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W4386690025","https://openalex.org/W2885778889","https://openalex.org/W4310224730","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856"],"abstract_inverted_index":{"This":[0],"paper":[1,40],"explores":[2],"the":[3,8,65,99],"increasingly":[4],"strong":[5],"relationship":[6],"between":[7],"concepts":[9],"of":[10,39,46],"zero":[11],"defect":[12],"manufacturing":[13],"and":[14,58,69,91,94],"artificial":[15],"intelligence,":[16],"which":[17],"aims":[18],"to":[19,51],"maximise":[20],"efficiency":[21],"in":[22,43,49,107],"product":[23],"development.":[24],"For":[25],"this":[26,108],"purpose,":[27],"a":[28,35,44,53,61],"physical":[29],"prototype":[30],"was":[31,67,96],"developed":[32,73,101],"that":[33,98],"replicates":[34],"process":[36,66],"(the":[37],"heating":[38],"samples":[41],"submerged":[42],"solution":[45],"lemon":[47],"juice),":[48],"order":[50],"validate":[52],"pipeline":[54],"for":[55],"data":[56],"collection":[57],"processing.":[59],"Therefore,":[60],"dataset":[62],"associated":[63],"with":[64,102],"produced":[68,104],"system":[70],"models":[71,100],"were":[72],"using":[74],"supervised":[75],"learning":[76],"algorithms":[77],"(K-Nearest":[78],"Neighbours,":[79],"Support":[80],"Vector":[81],"Machine,":[82],"Linear":[83],"Regression,":[84,86,88],"Ridge":[85],"Lasso":[87],"Random":[89],"Forest":[90],"Gradient":[92],"Boosting),":[93],"it":[95],"concluded":[97],"KNN":[103],"satisfactory":[105],"results":[106],"task.":[109]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
