{"id":"https://openalex.org/W4403856611","doi":"https://doi.org/10.1088/2634-4386/ad8c79","title":"A cloud-edge framework for energy-efficient event-driven control: an integration of online supervised learning, spiking neural networks and local plasticity rules","display_name":"A cloud-edge framework for energy-efficient event-driven control: an integration of online supervised learning, spiking neural networks and local plasticity rules","publication_year":2024,"publication_date":"2024-10-29","ids":{"openalex":"https://openalex.org/W4403856611","doi":"https://doi.org/10.1088/2634-4386/ad8c79"},"language":"en","primary_location":{"id":"doi:10.1088/2634-4386/ad8c79","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2634-4386/ad8c79","pdf_url":"https://iopscience.iop.org/article/10.1088/2634-4386/ad8c79/pdf","source":{"id":"https://openalex.org/S4210212933","display_name":"Neuromorphic Computing and Engineering","issn_l":"2634-4386","issn":["2634-4386"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuromorphic Computing and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2634-4386/ad8c79/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000877559","display_name":"Reza Ahmadvand","orcid":"https://orcid.org/0000-0001-9326-6358"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Reza Ahmadvand","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Oklahoma, Oklahoma, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahoma, Oklahoma, United States of America","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033454223","display_name":"Safura Sharifi","orcid":"https://orcid.org/0000-0002-4667-6650"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarah Safura Sharif","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Oklahoma, Oklahoma, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahoma, Oklahoma, United States of America","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068910901","display_name":"Yaser Mike Banad","orcid":"https://orcid.org/0000-0001-7339-810X"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yaser Mike Banad","raw_affiliation_strings":["School of Electrical and Computer Engineering, University of Oklahoma, Oklahoma, United States of America"],"raw_orcid":"https://orcid.org/0000-0001-7339-810X","affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, University of Oklahoma, Oklahoma, United States of America","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000877559"],"corresponding_institution_ids":["https://openalex.org/I8692664"],"apc_list":{"value":2000,"currency":"GBP","value_usd":2453},"apc_paid":{"value":2000,"currency":"GBP","value_usd":2453},"fwci":2.9286,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.92238658,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"4","issue":"4","first_page":"044004","last_page":"044004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9639000296592712,"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":0.9639000296592712,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.942799985408783,"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":0.6719081997871399},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.596380352973938},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5934901237487793},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5866498351097107},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5684097409248352},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5631735920906067},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5340619683265686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49346935749053955},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4300496578216553},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.42409005761146545},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4156271517276764},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3802477717399597}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6719081997871399},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.596380352973938},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5934901237487793},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5866498351097107},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5684097409248352},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5631735920906067},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5340619683265686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49346935749053955},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4300496578216553},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.42409005761146545},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4156271517276764},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3802477717399597},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1088/2634-4386/ad8c79","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2634-4386/ad8c79","pdf_url":"https://iopscience.iop.org/article/10.1088/2634-4386/ad8c79/pdf","source":{"id":"https://openalex.org/S4210212933","display_name":"Neuromorphic Computing and Engineering","issn_l":"2634-4386","issn":["2634-4386"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuromorphic Computing and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a40b95b5028d4f64b13fa5b84cb38818","is_oa":true,"landing_page_url":"https://doaj.org/article/a40b95b5028d4f64b13fa5b84cb38818","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Neuromorphic Computing and Engineering, Vol 4, Iss 4, p 044004 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1088/2634-4386/ad8c79","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2634-4386/ad8c79","pdf_url":"https://iopscience.iop.org/article/10.1088/2634-4386/ad8c79/pdf","source":{"id":"https://openalex.org/S4210212933","display_name":"Neuromorphic Computing and Engineering","issn_l":"2634-4386","issn":["2634-4386"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neuromorphic Computing and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403856611.pdf","grobid_xml":"https://content.openalex.org/works/W4403856611.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1980773744","https://openalex.org/W2006370340","https://openalex.org/W2029489077","https://openalex.org/W2090308161","https://openalex.org/W2108157381","https://openalex.org/W2113159509","https://openalex.org/W2138214290","https://openalex.org/W2165639766","https://openalex.org/W2221584497","https://openalex.org/W2558597819","https://openalex.org/W2611608598","https://openalex.org/W2783525259","https://openalex.org/W2914661805","https://openalex.org/W2963984277","https://openalex.org/W2980579400","https://openalex.org/W3006966652","https://openalex.org/W3201870057","https://openalex.org/W4210357113","https://openalex.org/W4210704126","https://openalex.org/W4283749998","https://openalex.org/W4365420913","https://openalex.org/W4384644080","https://openalex.org/W4387145996","https://openalex.org/W4394644710","https://openalex.org/W4396780564","https://openalex.org/W4403856611","https://openalex.org/W6766316166","https://openalex.org/W6846580354","https://openalex.org/W6848745737","https://openalex.org/W6854095984","https://openalex.org/W6864363034","https://openalex.org/W6987248731"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W2802581102","https://openalex.org/W2744715919"],"abstract_inverted_index":{"Abstract":[0],"This":[1,56],"paper":[2],"presents":[3],"a":[4,20,33,62,156],"novel":[5],"cloud-edge":[6],"framework":[7],"for":[8,72,164],"addressing":[9],"energy":[10,45,124,153,160],"constraints":[11],"in":[12,90,159],"complex":[13],"control":[14,59],"systems.":[15],"Our":[16],"approach":[17],"centers":[18],"around":[19],"learning-based":[21],"controller":[22,64],"using":[23],"Spiking":[24],"Neural":[25],"Networks":[26],"(SNN)":[27],"on":[28,66],"physical":[29],"plants.":[30],"By":[31],"integrating":[32],"biologically":[34],"plausible":[35],"learning":[36],"method":[37],"with":[38,114,155],"local":[39],"plasticity":[40],"rules,":[41],"we":[42],"harness":[43],"the":[44,49,67,70,141],"efficiency,":[46],"scalability":[47],"of":[48,54,121,134,152,162],"newtwork,":[50],"and":[51,88,98,148],"low":[52],"latency":[53],"SNNs.":[55],"design":[57],"replicates":[58],"signals":[60],"from":[61],"cloud-based":[63],"directly":[65],"plant,":[68],"reducing":[69],"need":[71],"constant":[73],"plant-cloud":[74],"communication.":[75],"The":[76,118,138],"plant":[77],"updates":[78],"weights":[79],"only":[80,127],"when":[81],"errors":[82],"surpass":[83],"predefined":[84],"thresholds,":[85],"ensuring":[86],"efficiency":[87],"robustness":[89],"various":[91],"conditions.":[92],"Applied":[93],"to":[94,144,168],"linear":[95],"workbench":[96],"systems":[97],"satellite":[99],"rendezvous":[100],"scenarios,":[101],"including":[102],"obstacle":[103],"avoidance,":[104],"our":[105],"architecture":[106],"dramatically":[107],"lowers":[108],"normalized":[109],"tracking":[110],"error":[111],"by":[112],"96%":[113],"increased":[115],"network":[116],"size.":[117],"event-driven":[119],"nature":[120],"SNNs":[122],"minimizes":[123],"consumption,":[125],"utilizing":[126],"about":[128],"11.1":[129],"\u00d7":[130],"104":[131],"pJ":[132],"(0.3%":[133],"conventional":[135],"computing":[136],"requirements).":[137],"results":[139],"demonstrate":[140],"system\u2019s":[142],"adjustment":[143],"changing":[145],"work":[146],"environments":[147],"its":[149],"efficient":[150],"use":[151],"resources,":[154],"moderate":[157],"increase":[158],"consumption":[161],"37%":[163],"dynamic":[165],"obstacles,":[166],"compared":[167],"non-obstacle":[169],"scenarios.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
