{"id":"https://openalex.org/W7168033587","doi":"https://doi.org/10.1145/3786583.3786861","title":"Deploying SafeKAN for Anomaly Detection in Safety-Critical Satellite Operations: An Industry-Guided Study","display_name":"Deploying SafeKAN for Anomaly Detection in Safety-Critical Satellite Operations: An Industry-Guided Study","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7168033587","doi":"https://doi.org/10.1145/3786583.3786861"},"language":null,"primary_location":{"id":"doi:10.1145/3786583.3786861","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3786583.3786861","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 IEEE/ACM 48th International Conference on Software Engineering: Software Engineering in Practice","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3786583.3786861","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083622564","display_name":"Alberto Petrucci","orcid":null},"institutions":[{"id":"https://openalex.org/I4210150763","display_name":"Gran Sasso Science Institute","ror":"https://ror.org/043qcb444","country_code":"IT","type":"education","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210150763"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alberto Petrucci","raw_affiliation_strings":["Gran Sasso Science Institute (GSSI), L'Aquila, Italy"],"raw_orcid":"https://orcid.org/0009-0000-7363-8388","affiliations":[{"raw_affiliation_string":"Gran Sasso Science Institute (GSSI), L'Aquila, Italy","institution_ids":["https://openalex.org/I4210150763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039406054","display_name":"Francesco Basciani","orcid":"https://orcid.org/0000-0002-9800-3431"},"institutions":[{"id":"https://openalex.org/I4210150763","display_name":"Gran Sasso Science Institute","ror":"https://ror.org/043qcb444","country_code":"IT","type":"education","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210150763"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Basciani","raw_affiliation_strings":["Gran Sasso Science Institute (GSSI), L'Aquila, Italy"],"raw_orcid":"https://orcid.org/0000-0002-9800-3431","affiliations":[{"raw_affiliation_string":"Gran Sasso Science Institute (GSSI), L'Aquila, Italy","institution_ids":["https://openalex.org/I4210150763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009460574","display_name":"Franco Raimondi","orcid":"https://orcid.org/0000-0002-9508-7713"},"institutions":[{"id":"https://openalex.org/I4210150763","display_name":"Gran Sasso Science Institute","ror":"https://ror.org/043qcb444","country_code":"IT","type":"education","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210150763"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Franco Raimondi","raw_affiliation_strings":["Gran Sasso Science Institute (GSSI), L'Aquila, Italy"],"raw_orcid":"https://orcid.org/0000-0002-9508-7713","affiliations":[{"raw_affiliation_string":"Gran Sasso Science Institute (GSSI), L'Aquila, Italy","institution_ids":["https://openalex.org/I4210150763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013103539","display_name":"Patrizio Pelliccione","orcid":"https://orcid.org/0000-0002-5438-2281"},"institutions":[{"id":"https://openalex.org/I4210150763","display_name":"Gran Sasso Science Institute","ror":"https://ror.org/043qcb444","country_code":"IT","type":"education","lineage":["https://openalex.org/I160013858","https://openalex.org/I4210150763"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Patrizio Pelliccione","raw_affiliation_strings":["Gran Sasso Science Institute (GSSI), L'Aquila, Italy"],"raw_orcid":"https://orcid.org/0000-0002-5438-2281","affiliations":[{"raw_affiliation_string":"Gran Sasso Science Institute (GSSI), L'Aquila, Italy","institution_ids":["https://openalex.org/I4210150763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210150763"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"152","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.8830999732017517,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.8830999732017517,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.03610000014305115,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.010700000450015068,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/anomaly-detection","display_name":"Anomaly detection","score":0.8054999709129333},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4578999876976013},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4519999921321869},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4185999929904938},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4049000144004822},{"id":"https://openalex.org/keywords/certification","display_name":"Certification","score":0.3781999945640564}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8054999709129333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6152999997138977},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.550599992275238},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4578999876976013},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4519999921321869},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4185999929904938},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4049000144004822},{"id":"https://openalex.org/C46304622","wikidata":"https://www.wikidata.org/wiki/Q374814","display_name":"Certification","level":2,"score":0.3781999945640564},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3528999984264374},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.3467999994754791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34200000762939453},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31220000982284546},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.28450000286102295},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.27309998869895935},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26980000734329224},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2556999921798706},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3786583.3786861","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3786583.3786861","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 IEEE/ACM 48th International Conference on Software Engineering: Software Engineering in Practice","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3786583.3786861","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3786583.3786861","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 IEEE/ACM 48th International Conference on Software Engineering: Software Engineering in Practice","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.41500863432884216,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W2091854119","https://openalex.org/W2100987490","https://openalex.org/W2122646361","https://openalex.org/W2328067583","https://openalex.org/W2528491735","https://openalex.org/W2576845151","https://openalex.org/W2616028256","https://openalex.org/W2884001105","https://openalex.org/W2919115771","https://openalex.org/W2962772482","https://openalex.org/W2970180825","https://openalex.org/W2980994438","https://openalex.org/W3034688782","https://openalex.org/W3179432987","https://openalex.org/W4283324222","https://openalex.org/W4387527822","https://openalex.org/W4399801799","https://openalex.org/W4402857865","https://openalex.org/W4403908792","https://openalex.org/W4412756584"],"related_works":[],"abstract_inverted_index":{"Safety-critical":[0],"systems":[1],"in":[2,35,62,72,130],"domains":[3],"such":[4],"as":[5],"aerospace,":[6],"railways,":[7],"and":[8,23,45,81,101,125],"automotive":[9],"require":[10],"anomaly":[11,70,118],"detection":[12,71,119],"methods":[13],"that":[14,113],"are":[15],"not":[16],"only":[17],"accurate":[18],"but":[19],"also":[20],"transparent,":[21],"predictable,":[22],"certifiable":[24],"under":[25],"strict":[26],"operational":[27,53],"constraints.":[28],"Traditional":[29],"deep":[30],"neural":[31],"networks":[32],"fall":[33],"short":[34],"these":[36],"contexts":[37],"because":[38],"their":[39,46],"black-box":[40],"nature":[41],"prevents":[42],"formal":[43],"reasoning,":[44],"outputs":[47],"cannot":[48],"be":[49],"restricted":[50],"within":[51,122],"well-defined":[52],"limits.":[54],"In":[55],"this":[56],"paper,":[57],"we":[58],"present":[59],"SafeKAN,":[60],"developed":[61],"collaboration":[63],"with":[64],"Thales":[65],"Alenia":[66],"Space,":[67],"to":[68,96],"address":[69],"satellite":[73],"telemetry.":[74],"SafeKAN":[75,114],"builds":[76],"on":[77],"Kolmogorov\u2013Arnold":[78],"Networks":[79],"(KANs)":[80],"introduces":[82],"domain-specific":[83],"adaptations,":[84],"including":[85],"codomain":[86],"bounds":[87,124],"derived":[88],"from":[89,98],"noise":[90],"statistics,":[91],"the":[92,102,127],"exploitation":[93],"of":[94,104],"periodicity":[95],"learn":[97],"minimal":[99],"datasets,":[100],"estimation":[103],"signal":[105],"period":[106],"without":[107],"prior":[108],"knowledge.":[109],"The":[110],"results":[111],"show":[112],"can":[115],"achieve":[116],"reliable":[117],"while":[120],"operating":[121],"safety":[123],"providing":[126],"transparency":[128],"required":[129],"certification":[131],"processes.":[132]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-07-12T00:00:00"}