{"id":"https://openalex.org/W2765947984","doi":"https://doi.org/10.23919/iconac.2017.8081966","title":"Statistical estimation of spatio-temporal systems","display_name":"Statistical estimation of spatio-temporal systems","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2765947984","doi":"https://doi.org/10.23919/iconac.2017.8081966","mag":"2765947984"},"language":"en","primary_location":{"id":"doi:10.23919/iconac.2017.8081966","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iconac.2017.8081966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 23rd International Conference on Automation and Computing (ICAC)","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/A5085942306","display_name":"Visakan Kadirkamanathan","orcid":"https://orcid.org/0000-0002-4243-2501"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Visakan Kadirkamanathan","raw_affiliation_strings":["University of Sheffield, UK","The University of Sheffield, Sheffield, Sheffield, GB"],"affiliations":[{"raw_affiliation_string":"University of Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]},{"raw_affiliation_string":"The University of Sheffield, Sheffield, Sheffield, GB","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5085942306"],"corresponding_institution_ids":["https://openalex.org/I91136226"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16798346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9557999968528748,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9557999968528748,"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"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9099000096321106,"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/computer-science","display_name":"Computer science","score":0.7001787424087524},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.671650767326355},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5632679462432861},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5192192196846008},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.509131133556366},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.48990315198898315},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.489479660987854},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4821424186229706},{"id":"https://openalex.org/keywords/dynamical-systems-theory","display_name":"Dynamical systems theory","score":0.4405423700809479},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4363621473312378},{"id":"https://openalex.org/keywords/temporal-resolution","display_name":"Temporal resolution","score":0.4143977165222168},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3530765473842621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3393900394439697},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33909928798675537},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3259868323802948},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19680795073509216},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.19159236550331116},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.16992205381393433},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1356879472732544},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12856051325798035}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7001787424087524},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.671650767326355},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5632679462432861},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5192192196846008},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.509131133556366},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.48990315198898315},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.489479660987854},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4821424186229706},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.4405423700809479},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4363621473312378},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.4143977165222168},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3530765473842621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3393900394439697},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33909928798675537},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3259868323802948},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19680795073509216},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.19159236550331116},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.16992205381393433},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1356879472732544},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12856051325798035},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/iconac.2017.8081966","is_oa":false,"landing_page_url":"https://doi.org/10.23919/iconac.2017.8081966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 23rd International Conference on Automation and Computing (ICAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2230606337","https://openalex.org/W2330535098","https://openalex.org/W1541871911","https://openalex.org/W140420611","https://openalex.org/W4250831671","https://openalex.org/W4385542987","https://openalex.org/W1909999440","https://openalex.org/W1576040274","https://openalex.org/W2094241856","https://openalex.org/W2101377286"],"abstract_inverted_index":{"Advances":[0],"in":[1,7,24,31,45,62,81,112],"sensor":[2],"technologies":[3],"have":[4],"been":[5],"instrumental":[6],"being":[8],"able":[9],"to":[10,129,141,158],"observe":[11],"and":[12,83,98,124],"analyse":[13],"complex":[14],"dynamical":[15],"systems.":[16,87],"Examples":[17],"include":[18],"LiDAR":[19],"measurements":[20],"of":[21,42,49,71,74,85,96,115,136,148],"wind":[22],"velocities":[23],"Engineering,":[25,121],"high":[26],"throughput":[27],"high-resolution":[28],"cell":[29],"screens":[30],"Life":[32,122],"Sciences,":[33],"array":[34],"electrode":[35],"potential":[36],"field":[37],"signals":[38,75],"from":[39,76,101,120],"the":[40,43,60,63,93,109,160],"surface":[41],"organs":[44],"Healthcare.":[46],"In":[47],"all":[48],"these":[50,137],"examples,":[51],"there":[52,66],"is":[53,155],"not":[54],"only":[55],"temporal":[56],"variation":[57],"that":[58,168],"characterizes":[59],"dynamics":[61],"systems,":[64],"but":[65],"are":[67,139,169],"also":[68],"spatial":[69],"fields":[70],"interest.":[72],"Analysis":[73],"such":[77],"systems":[78],"demand":[79],"developments":[80],"estimation":[82,97,131,146],"identification":[84],"spatio-temporal":[86],"The":[88,151,162],"talk":[89,163],"will":[90,126],"first":[91],"introduce":[92],"generic":[94],"framework":[95,154],"identification,":[99],"motivated":[100],"a":[102,113,142],"statistical":[103,152],"signal":[104],"processing":[105],"perspective,":[106],"which":[107],"underpins":[108],"methodologies":[110],"used":[111,128],"variety":[114],"problems.":[116,161],"Following":[117],"this,":[118],"examples":[119,167],"Science":[123],"Healthcare":[125],"be":[127],"define":[130],"problem":[132],"classes.":[133],"For":[134],"each":[135],"problems":[138,147],"reduced":[140],"state":[143],"and/or":[144],"parameter":[145],"different":[149],"complexities.":[150],"signal-processing":[153],"then":[156],"employed":[157],"solve":[159],"concludes":[164],"by":[165],"further":[166],"currently":[170],"under":[171],"investigation.":[172]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
