{"id":"https://openalex.org/W4380763456","doi":"https://doi.org/10.1109/tvlsi.2023.3282969","title":"Adaptive Machine Learning-Based Proactive Thermal Management for NoC Systems","display_name":"Adaptive Machine Learning-Based Proactive Thermal Management for NoC Systems","publication_year":2023,"publication_date":"2023-06-15","ids":{"openalex":"https://openalex.org/W4380763456","doi":"https://doi.org/10.1109/tvlsi.2023.3282969"},"language":"en","primary_location":{"id":"doi:10.1109/tvlsi.2023.3282969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2023.3282969","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Transactions on Very Large Scale Integration (VLSI) Systems","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/A5088517936","display_name":"Kun-Chih Chen","orcid":"https://orcid.org/0000-0002-8908-468X"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kun-Chih Chen","raw_affiliation_strings":["Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-8908-468X","affiliations":[{"raw_affiliation_string":"Institute of Electronics, National Yang Ming Chiao Tung University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075305203","display_name":"Yuan-Hao Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yuan-Hao Liao","raw_affiliation_strings":["Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040313599","display_name":"Cheng-Ting Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Ting Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lei-Qi Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Lei-Qi Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2759,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88670402,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"31","issue":"8","first_page":"1114","last_page":"1127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9987999796867371,"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/T10179","display_name":"Supercapacitor Materials and Fabrication","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2504","display_name":"Electronic, Optical and Magnetic Materials"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6746586561203003},{"id":"https://openalex.org/keywords/temperature-control","display_name":"Temperature control","score":0.5613014698028564},{"id":"https://openalex.org/keywords/interconnection","display_name":"Interconnection","score":0.5283114314079285},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.45992952585220337},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.42721328139305115},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.412562757730484},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3810425400733948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29235315322875977},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.2825589179992676},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1710471212863922},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.1295454502105713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6746586561203003},{"id":"https://openalex.org/C536315585","wikidata":"https://www.wikidata.org/wiki/Q7698332","display_name":"Temperature control","level":2,"score":0.5613014698028564},{"id":"https://openalex.org/C123745756","wikidata":"https://www.wikidata.org/wiki/Q1665949","display_name":"Interconnection","level":2,"score":0.5283114314079285},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.45992952585220337},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.42721328139305115},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.412562757730484},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3810425400733948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29235315322875977},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.2825589179992676},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1710471212863922},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.1295454502105713},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvlsi.2023.3282969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvlsi.2023.3282969","pdf_url":null,"source":{"id":"https://openalex.org/S37538908","display_name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","issn_l":"1063-8210","issn":["1063-8210","1557-9999"],"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 Transactions on Very Large Scale Integration (VLSI) Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G1191726715","display_name":null,"funder_award_id":"NSTC 110-2221-E-110-026-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G7752188147","display_name":null,"funder_award_id":"NSTC 111-2628-E-110-011-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W2018914898","https://openalex.org/W2029267939","https://openalex.org/W2039138776","https://openalex.org/W2039936456","https://openalex.org/W2051657094","https://openalex.org/W2053408600","https://openalex.org/W2072467067","https://openalex.org/W2075159751","https://openalex.org/W2099781199","https://openalex.org/W2101539915","https://openalex.org/W2101786389","https://openalex.org/W2119480056","https://openalex.org/W2123049857","https://openalex.org/W2142127152","https://openalex.org/W2143397269","https://openalex.org/W2149527282","https://openalex.org/W2164900024","https://openalex.org/W2544965182","https://openalex.org/W2619632555","https://openalex.org/W2792275471","https://openalex.org/W2810394144","https://openalex.org/W2915712275","https://openalex.org/W3036380179","https://openalex.org/W3140261852","https://openalex.org/W3148862943","https://openalex.org/W3159222787","https://openalex.org/W4206111946","https://openalex.org/W4236302577","https://openalex.org/W4243424694","https://openalex.org/W4253684726","https://openalex.org/W6675380055","https://openalex.org/W6677803268"],"related_works":["https://openalex.org/W2155019192","https://openalex.org/W2014709025","https://openalex.org/W4362501864","https://openalex.org/W4306904969","https://openalex.org/W4380318855","https://openalex.org/W2138720691","https://openalex.org/W2031695474","https://openalex.org/W4249035840","https://openalex.org/W2766970861","https://openalex.org/W2586732548"],"abstract_inverted_index":{"Because":[0],"of":[1,155,207,211],"the":[2,9,22,29,33,38,44,66,71,75,79,86,90,112,171,175,185,191,197,205,208,212,228,240],"high-complex":[3],"interconnection":[4],"in":[5,25,37,82,119,137],"contemporary":[6],"multicore":[7,26],"systems,":[8],"network-on-chip":[10],"(NoC)":[11],"technology":[12],"has":[13],"been":[14],"proven":[15],"as":[16,60],"an":[17,61,146],"efficient":[18,62],"way":[19,63],"to":[20,43,64,84,168,183,189,204],"solve":[21,125],"communication":[23],"problem":[24,31],"systems.":[27],"However,":[28,94],"thermal":[30,55],"becomes":[32],"main":[34],"design":[35],"challenge":[36],"current":[39,113],"NoC":[40,213],"systems":[41],"due":[42],"high-diverse":[45],"workload":[46],"distribution":[47],"and":[48,159,215,238],"large":[49],"power":[50],"density.":[51],"Therefore,":[52],"proactive":[53],"dynamic":[54],"management":[56],"(PDTM)":[57],"is":[58,135,153,181],"employed":[59],"control":[65,78,92,190,220],"system":[67,80,192,214,241],"temperature.":[68,173,193],"Based":[69],"on":[70,103],"predicted":[72],"temperature":[73,81,91,96,114,121,209,219,233],"information,":[74],"PDTM":[76,134,143,201],"can":[77,202],"advance":[83],"reduce":[85],"performance":[87,242],"impact":[88],"during":[89],"period.":[93],"conventional":[95],"prediction":[97,115,122,234],"models":[98,116],"are":[99,108],"usually":[100,109],"built":[101],"based":[102],"specific":[104],"physical":[105],"parameters,":[106],"which":[107,152],"temperature-sensitive.":[110],"Consequently,":[111],"still":[117],"result":[118],"significant":[120],"errors.":[123],"To":[124],"this":[126,138,195],"problem,":[127],"a":[128,156,160,217],"novel":[129],"adaptive":[130,141,147,165,177,199],"machine":[131],"learning":[132,179],"(ML)-based":[133],"proposed":[136,176,198,229],"work.":[139],"The":[140],"ML-based":[142,200],"first":[144],"uses":[145],"single":[148],"layer":[149],"perceptron":[150],"(ASLP),":[151],"composed":[154],"single-neuron":[157],"operation":[158],"least":[161],"mean":[162],"square":[163],"(LMS)":[164],"filter":[166],"technology,":[167],"precisely":[169],"predict":[170],"future":[172],"Afterward,":[174],"reinforcement":[178],"(RL)":[180],"used":[182],"find":[184],"proper":[186,218],"throttling":[187],"ratio":[188],"In":[194],"way,":[196],"adapt":[203],"hyperplane":[206],"behavior":[210],"provide":[216],"strategy":[221],"at":[222],"runtime.":[223],"Compared":[224],"with":[225,245],"related":[226],"works,":[227],"approach":[230],"reduces":[231],"average":[232],"error":[235],"by":[236,243],"0.2%\u201378.0%":[237],"improves":[239],"2.4%\u201343.0%":[244],"smaller":[246],"hardware":[247],"overhead.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}