{"id":"https://openalex.org/W4297619727","doi":"https://doi.org/10.1145/3546790.3546815","title":"A Neuromorphic Algorithm for Radiation Anomaly Detection","display_name":"A Neuromorphic Algorithm for Radiation Anomaly Detection","publication_year":2022,"publication_date":"2022-07-27","ids":{"openalex":"https://openalex.org/W4297619727","doi":"https://doi.org/10.1145/3546790.3546815"},"language":"en","primary_location":{"id":"doi:10.1145/3546790.3546815","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3546790.3546815","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Neuromorphic Systems 2022","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3546790.3546815","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044520191","display_name":"James Ghawaly","orcid":"https://orcid.org/0000-0001-8826-8500"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Ghawaly","raw_affiliation_strings":["Oak Ridge National Laboratory, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010098151","display_name":"Aaron Young","orcid":"https://orcid.org/0000-0002-5448-4667"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron Young","raw_affiliation_strings":["Oak Ridge National Laboratory, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031384043","display_name":"Dan Archer","orcid":null},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Archer","raw_affiliation_strings":["Oak Ridge National Laboratory, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067953218","display_name":"Nick Prins","orcid":null},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nick Prins","raw_affiliation_strings":["Oak Ridge National Laboratory, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036522179","display_name":"Brett Witherspoon","orcid":"https://orcid.org/0000-0003-3614-7883"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brett Witherspoon","raw_affiliation_strings":["Oak Ridge National Laboratory, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033784578","display_name":"Catherine D. Schuman","orcid":"https://orcid.org/0000-0002-4264-8097"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Catherine Schuman","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Tennessee, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Tennessee, USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5301,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.62657343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994000196456909,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9994000196456909,"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/T11216","display_name":"Radiation Detection and Scintillator Technologies","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11992","display_name":"CCD and CMOS Imaging Sensors","score":0.9836000204086304,"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/neuromorphic-engineering","display_name":"Neuromorphic engineering","score":0.9414054155349731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7229390144348145},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.7144225835800171},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.690484881401062},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5576472282409668},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5374544262886047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.524695098400116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4220600426197052},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4152772128582001},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3226339519023895},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.14062723517417908},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12951898574829102}],"concepts":[{"id":"https://openalex.org/C151927369","wikidata":"https://www.wikidata.org/wiki/Q1981312","display_name":"Neuromorphic engineering","level":3,"score":0.9414054155349731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7229390144348145},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.7144225835800171},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.690484881401062},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5576472282409668},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5374544262886047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.524695098400116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4220600426197052},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4152772128582001},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3226339519023895},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.14062723517417908},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12951898574829102},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3546790.3546815","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3546790.3546815","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Neuromorphic Systems 2022","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3546790.3546815","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3546790.3546815","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Neuromorphic Systems 2022","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8299999833106995,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1719536385","display_name":null,"funder_award_id":"DE-AC05-00OR22725","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1983713982","https://openalex.org/W1999009035","https://openalex.org/W2008385258","https://openalex.org/W2024912409","https://openalex.org/W2059548050","https://openalex.org/W2172777293","https://openalex.org/W2555267483","https://openalex.org/W2768519025","https://openalex.org/W2784327807","https://openalex.org/W2792362585","https://openalex.org/W2803206852","https://openalex.org/W2883956828","https://openalex.org/W2904003207","https://openalex.org/W2911421736","https://openalex.org/W2977464668","https://openalex.org/W3032678059","https://openalex.org/W3035804904","https://openalex.org/W3036180802","https://openalex.org/W3036189541","https://openalex.org/W3045503444","https://openalex.org/W3091146411","https://openalex.org/W3124358044","https://openalex.org/W3200164061","https://openalex.org/W4214633494","https://openalex.org/W4234110356","https://openalex.org/W4247646795"],"related_works":["https://openalex.org/W2076520961","https://openalex.org/W1629725936","https://openalex.org/W3121429093","https://openalex.org/W2945144713","https://openalex.org/W3202412105","https://openalex.org/W3044458868","https://openalex.org/W4285195761","https://openalex.org/W2182604364","https://openalex.org/W4319074384","https://openalex.org/W4296210064"],"abstract_inverted_index":{"In":[0],"this":[1,80],"work,":[2],"we":[3],"present":[4],"initial":[5],"results":[6],"on":[7,90],"the":[8,22,33,51,72,82,91,105,128,160],"development":[9,101],"of":[10,26,59,76,109,127,162],"a":[11,97,163],"neuromorphic":[12,27],"spiking":[13,83,129],"neural":[14,84,130],"network":[15,85,131],"for":[16,152,174],"performing":[17],"gamma-ray":[18],"radiation":[19,34],"anomaly":[20],"detection,":[21],"first":[23],"known":[24],"application":[25],"computing":[28,38],"to":[29,32,40,45,71,141],"be":[30],"applied":[31],"detection":[35,58,137],"domain.":[36],"Neuromorphic":[37],"seeks":[39],"enable":[41],"future":[42,175],"autonomous":[43],"systems":[44],"obtain":[46],"machine":[47],"learning-level":[48],"performance":[49,125],"without":[50],"typical":[52],"high":[53],"power":[54],"consumption":[55],"needs.":[56],"The":[57,111,156],"anomalous":[60],"radioactive":[61],"sources":[62],"in":[63,135],"an":[64,119,142],"urban":[65],"environment":[66],"is":[67,86],"challenging,":[68],"largely":[69],"due":[70],"highly":[73],"dynamic":[74],"nature":[75],"background":[77],"radiation.":[78],"For":[79],"evaluation,":[81],"trained":[87,117],"and":[88,114,177],"evaluated":[89],"Urban":[92],"Source":[93],"Search":[94],"challenge":[95],"dataset,":[96],"synthetic":[98],"dataset":[99],"whose":[100],"was":[102],"funded":[103],"through":[104],"United":[106],"States":[107],"Department":[108],"Energy.":[110],"network's":[112],"weights":[113],"architecture":[115],"are":[116],"using":[118],"evolutionary":[120],"optimization":[121],"approach.":[122],"A":[123],"preliminary":[124],"evaluation":[126],"indicates":[132],"significant":[133],"improvements":[134],"source":[136],"sensitivity":[138,161],"when":[139],"compared":[140],"established":[143],"gross":[144],"count":[145],"rate-based":[146],"algorithm,":[147],"while":[148],"meeting":[149],"ANSI":[150],"standards":[151],"false":[153],"alarm":[154],"rate.":[155],"SNN":[157],"achieved":[158],"half":[159],"different,":[164],"more":[165],"complex":[166],"spectral":[167],"analysis":[168],"algorithm":[169],"from":[170],"literature,":[171],"leaving":[172],"room":[173],"research":[176],"development.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}
