{"id":"https://openalex.org/W2219386034","doi":"https://doi.org/10.1109/jssc.2015.2489842","title":"A Large-Area Image Sensing and Detection System Based on Embedded Thin-Film Classifiers","display_name":"A Large-Area Image Sensing and Detection System Based on Embedded Thin-Film Classifiers","publication_year":2015,"publication_date":"2015-11-05","ids":{"openalex":"https://openalex.org/W2219386034","doi":"https://doi.org/10.1109/jssc.2015.2489842","mag":"2219386034"},"language":"en","primary_location":{"id":"doi:10.1109/jssc.2015.2489842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jssc.2015.2489842","pdf_url":null,"source":{"id":"https://openalex.org/S83637746","display_name":"IEEE Journal of Solid-State Circuits","issn_l":"0018-9200","issn":["0018-9200","1558-173X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Solid-State Circuits","raw_type":"journal-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/A5048510237","display_name":"Warren Rieutort\u2010Louis","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Warren Rieutort-Louis","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059262689","display_name":"Tiffany Moy","orcid":"https://orcid.org/0000-0001-8196-3359"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tiffany Moy","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446577","display_name":"Zhuo Wang","orcid":"https://orcid.org/0000-0002-3296-8599"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhuo Wang","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032133587","display_name":"S. Wagner","orcid":"https://orcid.org/0000-0002-3222-4071"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sigurd Wagner","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074204707","display_name":"James C. Sturm","orcid":"https://orcid.org/0000-0002-0878-5266"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James C. Sturm","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101645607","display_name":"Naveen Verma","orcid":"https://orcid.org/0000-0002-8208-5030"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Naveen Verma","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8117,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.91419102,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"51","issue":"1","first_page":"281","last_page":"290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10623","display_name":"Thin-Film Transistor Technologies","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10623","display_name":"Thin-Film Transistor Technologies","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.6520276069641113},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.6293889284133911},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6131397485733032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6023759245872498},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5856080651283264},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.567118763923645},{"id":"https://openalex.org/keywords/cmos","display_name":"CMOS","score":0.5548473596572876},{"id":"https://openalex.org/keywords/transistor","display_name":"Transistor","score":0.5099717378616333},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.47610530257225037},{"id":"https://openalex.org/keywords/thin-film-transistor","display_name":"Thin-film transistor","score":0.4756462275981903},{"id":"https://openalex.org/keywords/image-sensor","display_name":"Image sensor","score":0.45490843057632446},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39028769731521606},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33440497517585754},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.31824880838394165},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.15475693345069885},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15308082103729248},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.13913694024085999},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.1254568099975586},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.0855904221534729}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6520276069641113},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.6293889284133911},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6131397485733032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6023759245872498},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5856080651283264},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.567118763923645},{"id":"https://openalex.org/C46362747","wikidata":"https://www.wikidata.org/wiki/Q173431","display_name":"CMOS","level":2,"score":0.5548473596572876},{"id":"https://openalex.org/C172385210","wikidata":"https://www.wikidata.org/wiki/Q5339","display_name":"Transistor","level":3,"score":0.5099717378616333},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.47610530257225037},{"id":"https://openalex.org/C87359718","wikidata":"https://www.wikidata.org/wiki/Q1271916","display_name":"Thin-film transistor","level":3,"score":0.4756462275981903},{"id":"https://openalex.org/C76935873","wikidata":"https://www.wikidata.org/wiki/Q209121","display_name":"Image sensor","level":2,"score":0.45490843057632446},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39028769731521606},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33440497517585754},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.31824880838394165},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.15475693345069885},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15308082103729248},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.13913694024085999},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.1254568099975586},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0855904221534729},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jssc.2015.2489842","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jssc.2015.2489842","pdf_url":null,"source":{"id":"https://openalex.org/S83637746","display_name":"IEEE Journal of Solid-State Circuits","issn_l":"0018-9200","issn":["0018-9200","1558-173X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Solid-State Circuits","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321004","display_name":"\u00d6sterreichischen Akademie der Wissenschaften","ror":"https://ror.org/03anc3s24"},{"id":"https://openalex.org/F4320331888","display_name":"Microelectronics Advanced Research Corporation","ror":"https://ror.org/047z4n946"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1598968181","https://openalex.org/W1964632160","https://openalex.org/W1965246325","https://openalex.org/W1965726596","https://openalex.org/W1968693414","https://openalex.org/W1980012398","https://openalex.org/W1988790447","https://openalex.org/W2031601132","https://openalex.org/W2053862605","https://openalex.org/W2069743665","https://openalex.org/W2143780370","https://openalex.org/W2153569771","https://openalex.org/W2155310328","https://openalex.org/W2169971881","https://openalex.org/W2338571913","https://openalex.org/W2998216295","https://openalex.org/W4285719527","https://openalex.org/W6635911024","https://openalex.org/W6667607365","https://openalex.org/W6703585389","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2022123780","https://openalex.org/W2349576212","https://openalex.org/W1981776476","https://openalex.org/W2352535872","https://openalex.org/W2382967348","https://openalex.org/W4255753471","https://openalex.org/W2334823507","https://openalex.org/W2107073676","https://openalex.org/W2565551736","https://openalex.org/W2542675020"],"abstract_inverted_index":{"This":[0,62,87],"paper":[1],"presents":[2,64],"a":[3,56,120,149,168],"large-area":[4],"image":[5,68],"sensing":[6],"and":[7,15,107,115],"detection":[8,69],"system":[9,60,169],"that":[10,138],"integrates,":[11],"on":[12,82],"glass,":[13],"sensors":[14,35,116,201],"thin-film":[16],"transistor":[17],"(TFT)":[18],"circuits":[19,76,101],"for":[20],"classifying":[21,170],"images":[22],"from":[23,142,199],"sensor":[24,47,140],"data.":[25],"Large-area":[26],"electronics":[27],"(LAE)":[28],"enables":[29],"the":[30,78,89,92,182,194,203],"formation":[31],"of":[32,34,46,70,99,110,152,175,184,197],"millions":[33],"spanning":[36],"physically":[37],"large":[38],"areas;":[39],"however,":[40],"to":[41,52,59,91,129,148,162],"perform":[42],"processing":[43],"functions,":[44],"thousands":[45],"signals":[48,198],"must":[49],"be":[50,146,158],"interfaced":[51],"CMOS":[53,93,161],"ICs,":[54],"posing":[55],"critical":[57],"limitation":[58],"scalability.":[61],"work":[63],"an":[65,185],"approach":[66],"whereby":[67],"shapes":[71,172],"is":[72,117,206],"performed":[73],"using":[74,119],"simple":[75],"in":[77,160,202],"LAE":[79,204],"domain":[80,205],"based":[81],"amorphous":[83],"silicon":[84],"(a-Si)":[85],"TFTs.":[86],"reduces":[88],"interfaces":[90],"domain.":[94],"The":[95],"limited":[96],"computational":[97],"capability":[98],"TFT":[100],"as":[102,104,124],"well":[103],"high":[105,108],"variability":[106],"density":[109],"process":[111],"defects":[112],"affecting":[113],"TFTs":[114],"overcome":[118],"machine-learning":[121],"algorithm":[122],"known":[123],"error-adaptive":[125],"classifier":[126],"boosting":[127],"(EACB)":[128],"form":[130],"embedded":[131],"weak":[132],"classifiers.":[133],"Through":[134],"EACB,":[135],"we":[136],"show":[137],"high-dimensional":[139],"data":[141],"a-Si":[143],"photoconductors":[144],"can":[145,156],"reduced":[147,207],"small":[150],"number":[151,196],"weak-classifier":[153],"decisions,":[154],"which":[155],"then":[157],"combined":[159],"achieve":[163],"strong-classifier":[164],"performance.":[165],"For":[166],"demonstration,":[167],"five":[171],"achieves":[173],"performance":[174],">85%/>95%":[176],"[true-positive":[177],"(tp)/true-negative":[178],"(tn)":[179],"rates]":[180],"[near":[181],"level":[183],"ideal":[186],"software-implemented":[187],"support":[188],"vector":[189],"machine":[190],"(SVM)":[191],"classifier],":[192],"while":[193],"total":[195],"36":[200],"by":[208],"$3.5\\text{-}9\\times$.":[209]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
