{"id":"https://openalex.org/W4407691787","doi":"https://doi.org/10.1109/iceic64972.2025.10879730","title":"Design of Decision Tree Inference with DAC-based Feature Threshold Circuits","display_name":"Design of Decision Tree Inference with DAC-based Feature Threshold Circuits","publication_year":2025,"publication_date":"2025-01-19","ids":{"openalex":"https://openalex.org/W4407691787","doi":"https://doi.org/10.1109/iceic64972.2025.10879730"},"language":"en","primary_location":{"id":"doi:10.1109/iceic64972.2025.10879730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic64972.2025.10879730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Electronics, Information, and Communication (ICEIC)","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/A5116309209","display_name":"Woramet Janchum","orcid":null},"institutions":[{"id":"https://openalex.org/I10245363","display_name":"Rajamangala University of Technology","ror":"https://ror.org/051qqcg15","country_code":"TH","type":"education","lineage":["https://openalex.org/I10245363"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Woramet Janchum","raw_affiliation_strings":["RMUTT,Dept. Computer engineering,Pathum thani,Thailand"],"affiliations":[{"raw_affiliation_string":"RMUTT,Dept. Computer engineering,Pathum thani,Thailand","institution_ids":["https://openalex.org/I10245363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046259966","display_name":"Thanasin Bunnam","orcid":"https://orcid.org/0000-0002-5014-6441"},"institutions":[{"id":"https://openalex.org/I10245363","display_name":"Rajamangala University of Technology","ror":"https://ror.org/051qqcg15","country_code":"TH","type":"education","lineage":["https://openalex.org/I10245363"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Thanasin Bunnam","raw_affiliation_strings":["RMUTT,Dept. Computer engineering,Pathum thani,Thailand"],"affiliations":[{"raw_affiliation_string":"RMUTT,Dept. Computer engineering,Pathum thani,Thailand","institution_ids":["https://openalex.org/I10245363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073486544","display_name":"Nachirat Rachburee","orcid":"https://orcid.org/0000-0002-9671-1100"},"institutions":[{"id":"https://openalex.org/I10245363","display_name":"Rajamangala University of Technology","ror":"https://ror.org/051qqcg15","country_code":"TH","type":"education","lineage":["https://openalex.org/I10245363"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Nachirat Rachburee","raw_affiliation_strings":["RMUTT,Dept. Computer engineering,Pathum thani,Thailand"],"affiliations":[{"raw_affiliation_string":"RMUTT,Dept. Computer engineering,Pathum thani,Thailand","institution_ids":["https://openalex.org/I10245363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116309210","display_name":"Samatachai Jantara","orcid":null},"institutions":[{"id":"https://openalex.org/I10245363","display_name":"Rajamangala University of Technology","ror":"https://ror.org/051qqcg15","country_code":"TH","type":"education","lineage":["https://openalex.org/I10245363"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Samatachai Jantara","raw_affiliation_strings":["RMUTT,Dept. Computer engineering,Pathum thani,Thailand"],"affiliations":[{"raw_affiliation_string":"RMUTT,Dept. Computer engineering,Pathum thani,Thailand","institution_ids":["https://openalex.org/I10245363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057624696","display_name":"Pitchayapatchaya Srikram","orcid":null},"institutions":[{"id":"https://openalex.org/I10245363","display_name":"Rajamangala University of Technology","ror":"https://ror.org/051qqcg15","country_code":"TH","type":"education","lineage":["https://openalex.org/I10245363"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Pitchayapatchaya Srikram","raw_affiliation_strings":["RMUTT,Dept. Computer engineering,Pathum thani,Thailand"],"affiliations":[{"raw_affiliation_string":"RMUTT,Dept. Computer engineering,Pathum thani,Thailand","institution_ids":["https://openalex.org/I10245363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5116309209"],"corresponding_institution_ids":["https://openalex.org/I10245363"],"apc_list":null,"apc_paid":null,"fwci":2.8331,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89325657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9674999713897705,"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/T10320","display_name":"Neural Networks and Applications","score":0.9674999713897705,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9581000208854675,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7106966972351074},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6858465075492859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6620303988456726},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5802391767501831},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4801175594329834},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.4325970411300659},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41159674525260925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4003356099128723},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33450496196746826},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17888233065605164},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13070735335350037},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.09991529583930969}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7106966972351074},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6858465075492859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6620303988456726},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5802391767501831},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4801175594329834},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.4325970411300659},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41159674525260925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4003356099128723},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33450496196746826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17888233065605164},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13070735335350037},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.09991529583930969},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceic64972.2025.10879730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceic64972.2025.10879730","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Electronics, Information, and Communication (ICEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2053586955","https://openalex.org/W2313987665","https://openalex.org/W2944985332","https://openalex.org/W2947592526","https://openalex.org/W3005865350","https://openalex.org/W3164551921"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W4321636575","https://openalex.org/W3147584709","https://openalex.org/W2741131631","https://openalex.org/W2045526782","https://openalex.org/W4405841813","https://openalex.org/W2156919374","https://openalex.org/W1483472507"],"abstract_inverted_index":{"Decision":[0,26],"tree":[1,65,89,127],"classification":[2],"is":[3,106,134],"a":[4,97],"supervised":[5],"learning":[6],"method":[7],"in":[8,69,108],"which":[9,133],"internal":[10],"nodes":[11,20],"evaluate":[12],"attributes,":[13],"branches":[14],"represent":[15],"test":[16],"outcomes,":[17],"and":[18,32,82,118],"leaf":[19],"provide":[21],"class":[22],"labels":[23],"or":[24],"decisions.":[25],"trees":[27,50],"require":[28],"fewer":[29],"computational":[30],"resources":[31],"hyper-parameters":[33],"than":[34],"neural":[35],"networks,":[36],"making":[37],"them":[38],"well-suited":[39],"for":[40,92],"specialized":[41],"hardware":[42],"implementation.":[43],"However,":[44],"the":[45,70,86,93,119,122,125,130],"unbalanced":[46],"structure":[47],"of":[48,114,121],"decision":[49,64,88,126],"could":[51],"lead":[52],"to":[53],"inefficient":[54],"memory":[55],"access.":[56],"This":[57],"work":[58],"proposes":[59],"an":[60],"approach":[61,74],"using":[62],"analog-based":[63],"circuits":[66,77],"that":[67],"operate":[68],"voltage":[71],"domain.":[72],"The":[73,103],"utilizes":[75],"digital-to-analog":[76],"as":[78],"feature":[79],"thresh-old":[80],"generators":[81],"comparators.":[83],"Simulations":[84],"demonstrate":[85],"proposed":[87],"inference":[90],"design":[91],"Iris":[94],"dataset":[95],"with":[96,111],"65nm":[98],"process":[99],"at":[100],"1.6":[101],"V.":[102],"power":[104],"consumption":[105],"156nW":[107],"50ns":[109],"operation":[110],"energy":[112],"efficiency":[113],"0.7932pJ":[115],"per":[116],"decision,":[117],"accuracy":[120],"system":[123],"matches":[124],"learned":[128],"by":[129],"scikit-learn":[131],"library,":[132],"99":[135],"%.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}