{"id":"https://openalex.org/W7084105873","doi":"https://doi.org/10.1109/newcas64648.2025.11107059","title":"Predicting Digital Layout Success in Analog-on-Top Designs Using Machine Learning","display_name":"Predicting Digital Layout Success in Analog-on-Top Designs Using Machine Learning","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W7084105873","doi":"https://doi.org/10.1109/newcas64648.2025.11107059"},"language":"en","primary_location":{"id":"doi:10.1109/newcas64648.2025.11107059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas64648.2025.11107059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 23rd IEEE Interregional NEWCAS Conference (NEWCAS)","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":null,"display_name":"Francesco Daghero","orcid":null},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Francesco Daghero","raw_affiliation_strings":["Politecnico di Torino"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Gabriele Faraone","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124177","display_name":"STMicroelectronics (Czechia)","ror":"https://ror.org/03c7ss521","country_code":"CZ","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210124177"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Gabriele Faraone","raw_affiliation_strings":["STMicroelectronics"],"affiliations":[{"raw_affiliation_string":"STMicroelectronics","institution_ids":["https://openalex.org/I4210124177"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Eugenio Serianni","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124177","display_name":"STMicroelectronics (Czechia)","ror":"https://ror.org/03c7ss521","country_code":"CZ","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210124177"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Eugenio Serianni","raw_affiliation_strings":["STMicroelectronics"],"affiliations":[{"raw_affiliation_string":"STMicroelectronics","institution_ids":["https://openalex.org/I4210124177"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nicola Di Carolo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124177","display_name":"STMicroelectronics (Czechia)","ror":"https://ror.org/03c7ss521","country_code":"CZ","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210124177"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Nicola Di Carolo","raw_affiliation_strings":["STMicroelectronics"],"affiliations":[{"raw_affiliation_string":"STMicroelectronics","institution_ids":["https://openalex.org/I4210124177"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dario Licastro","orcid":null},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dario Licastro","raw_affiliation_strings":["Politecnico di Torino"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Giovanna Antonella Franchino","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124177","display_name":"STMicroelectronics (Czechia)","ror":"https://ror.org/03c7ss521","country_code":"CZ","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210124177"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Giovanna Antonella Franchino","raw_affiliation_strings":["STMicroelectronics"],"affiliations":[{"raw_affiliation_string":"STMicroelectronics","institution_ids":["https://openalex.org/I4210124177"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Michelangelo Grosso","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124177","display_name":"STMicroelectronics (Czechia)","ror":"https://ror.org/03c7ss521","country_code":"CZ","type":"company","lineage":["https://openalex.org/I131827901","https://openalex.org/I4210124177"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Michelangelo Grosso","raw_affiliation_strings":["STMicroelectronics"],"affiliations":[{"raw_affiliation_string":"STMicroelectronics","institution_ids":["https://openalex.org/I4210124177"]}]},{"author_position":"last","author":{"id":null,"display_name":"Daniele Jahier Pagliari","orcid":null},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Polytechnic University of Turin","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Jahier Pagliari","raw_affiliation_strings":["Politecnico di Torino"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.7692445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"60","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.3801000118255615,"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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.3801000118255615,"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/T13177","display_name":"Geological and Geophysical Studies","score":0.048700001090765,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13067","display_name":"Geological Modeling and Analysis","score":0.028300000354647636,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6879000067710876},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5927000045776367},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5717999935150146},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5220000147819519},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4327000081539154},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4221000075340271},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.42149999737739563},{"id":"https://openalex.org/keywords/digital-electronics","display_name":"Digital electronics","score":0.3702000081539154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6920999884605408},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6879000067710876},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5996000170707703},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5927000045776367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5860000252723694},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5717999935150146},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5220000147819519},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4327000081539154},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4221000075340271},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.42149999737739563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3871000111103058},{"id":"https://openalex.org/C81843906","wikidata":"https://www.wikidata.org/wiki/Q173156","display_name":"Digital electronics","level":3,"score":0.3702000081539154},{"id":"https://openalex.org/C2765594","wikidata":"https://www.wikidata.org/wiki/Q2624187","display_name":"Integrated circuit layout","level":3,"score":0.3294000029563904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.320499986410141},{"id":"https://openalex.org/C489000","wikidata":"https://www.wikidata.org/wiki/Q747385","display_name":"Data flow diagram","level":2,"score":0.30059999227523804},{"id":"https://openalex.org/C530198007","wikidata":"https://www.wikidata.org/wiki/Q80831","display_name":"Integrated circuit","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2750999927520752},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.2702000141143799},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C37135326","wikidata":"https://www.wikidata.org/wiki/Q931942","display_name":"Design flow","level":2,"score":0.25920000672340393},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.2581000030040741},{"id":"https://openalex.org/C52773712","wikidata":"https://www.wikidata.org/wiki/Q175022","display_name":"Digital signal","level":3,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/newcas64648.2025.11107059","is_oa":false,"landing_page_url":"https://doi.org/10.1109/newcas64648.2025.11107059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 23rd IEEE Interregional NEWCAS Conference (NEWCAS)","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":8,"referenced_works":["https://openalex.org/W2101234009","https://openalex.org/W2131198957","https://openalex.org/W2156152281","https://openalex.org/W2295569708","https://openalex.org/W2582463931","https://openalex.org/W2896499334","https://openalex.org/W4242391517","https://openalex.org/W4255396114"],"related_works":[],"abstract_inverted_index":{"Designing":[0],"Analog-On-Top":[1],"Mixed":[2],"Signal":[3],"(AMS)":[4],"Integrated":[5],"Circuits":[6],"(ICs)":[7],"is":[8,21,56,98],"a":[9,84,95,104,150],"labor-intensive":[10],"and":[11,40],"mainly":[12],"manual":[13],"process.":[14],"A":[15],"crucial":[16],"step":[17],"in":[18],"this":[19,80,101],"flow":[20],"reserving":[22],"specific":[23],"areas":[24],"on":[25,75,118],"the":[26,54,91,141,156],"top-level":[27],"layout":[28],"to":[29,48,51,88,124,161],"place":[30],"digital":[31,39,96],"blocks.":[32],"This":[33],"requires":[34],"multiple":[35],"time-consuming":[36],"iterations":[37],"between":[38],"analog":[41],"teams,":[42],"as":[43,64,103],"several":[44,145],"design":[45,138],"characteristics":[46],"are":[47,61],"be":[49],"considered":[50],"determine":[52,89],"whether":[53,90],"area":[55,93],"sufficient.":[57],"Existing":[58],"automated":[59],"solutions":[60],"generally":[62],"limited,":[63],"they":[65],"often":[66],"yield":[67],"limited":[68],"accuracy":[69,158],"or":[70],"have":[71],"been":[72],"tested":[73],"only":[74],"simplistic":[76],"use":[77],"cases.":[78],"In":[79],"work,":[81],"we":[82,109,130],"propose":[83],"Machine-Learning":[85],"(ML)":[86],"solution":[87],"reserved":[92],"for":[94],"block":[97],"sufficient,":[99],"handling":[100],"task":[102],"supervised":[105],"classification":[106],"problem.":[107],"Specifically,":[108],"perform":[110],"an":[111,132],"extensive":[112],"benchmark":[113],"of":[114,135,144],"different":[115,137],"ML":[116,146],"models":[117],"labeled":[119],"production-level":[120],"designs,":[121],"obtaining":[122],"up":[123,160],"94.8":[125],"%":[126],"F1":[127],"score.":[128],"Finally,":[129],"provide":[131],"in-depth":[133],"analysis":[134],"how":[136],"features":[139],"impact":[140],"prediction":[142],"quality":[143],"models,":[147],"showing":[148],"that":[149],"feature":[151],"reduction":[152],"technique":[153],"can":[154],"improve":[155],"final":[157],"by":[159],"8.6":[162],"%.":[163]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
