{"id":"https://openalex.org/W3184911036","doi":"https://doi.org/10.1109/tii.2021.3100501","title":"A Recursive Method for Estimating Missing Data in Spatio-Temporal Applications","display_name":"A Recursive Method for Estimating Missing Data in Spatio-Temporal Applications","publication_year":2021,"publication_date":"2021-07-27","ids":{"openalex":"https://openalex.org/W3184911036","doi":"https://doi.org/10.1109/tii.2021.3100501","mag":"3184911036"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2021.3100501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3100501","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5076609306","display_name":"Abhishek Grover","orcid":"https://orcid.org/0000-0002-2390-9263"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhishek Grover","raw_affiliation_strings":["Bharti School of Telecommunication Technology, and Management, Indian Institute of Technology Delhi, New Delhi, India"],"raw_orcid":"https://orcid.org/0000-0002-2390-9263","affiliations":[{"raw_affiliation_string":"Bharti School of Telecommunication Technology, and Management, Indian Institute of Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066116024","display_name":"Brejesh Lall","orcid":"https://orcid.org/0000-0003-2677-3071"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Brejesh Lall","raw_affiliation_strings":["Bharti School of Telecommunication Technology, and Management, Indian Institute of Technology Delhi, New Delhi, India"],"raw_orcid":"https://orcid.org/0000-0003-2677-3071","affiliations":[{"raw_affiliation_string":"Bharti School of Telecommunication Technology, and Management, Indian Institute of Technology Delhi, New Delhi, India","institution_ids":["https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I68891433"],"apc_list":null,"apc_paid":null,"fwci":0.9104,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.7532097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"18","issue":"4","first_page":"2714","last_page":"2723"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9930999875068665,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9930999875068665,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.773085355758667},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.6565403938293457},{"id":"https://openalex.org/keywords/karhunen\u2013lo\u00e8ve-theorem","display_name":"Karhunen\u2013Lo\u00e8ve theorem","score":0.6527398228645325},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5273581147193909},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5073844790458679},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4835045635700226},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.46931883692741394},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4637136459350586},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.42940646409988403},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4162788689136505},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.40964141488075256},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3718968629837036},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36794161796569824},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2282300889492035}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.773085355758667},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.6565403938293457},{"id":"https://openalex.org/C109308471","wikidata":"https://www.wikidata.org/wiki/Q2046647","display_name":"Karhunen\u2013Lo\u00e8ve theorem","level":2,"score":0.6527398228645325},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5273581147193909},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5073844790458679},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4835045635700226},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.46931883692741394},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4637136459350586},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.42940646409988403},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4162788689136505},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.40964141488075256},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3718968629837036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36794161796569824},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2282300889492035},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2021.3100501","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3100501","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1123605699","https://openalex.org/W1544274373","https://openalex.org/W1920010643","https://openalex.org/W1964357740","https://openalex.org/W1970266075","https://openalex.org/W2005850290","https://openalex.org/W2020211643","https://openalex.org/W2031332288","https://openalex.org/W2047352628","https://openalex.org/W2047364731","https://openalex.org/W2059330422","https://openalex.org/W2070807660","https://openalex.org/W2075665712","https://openalex.org/W2098043650","https://openalex.org/W2103972604","https://openalex.org/W2139813482","https://openalex.org/W2161764525","https://openalex.org/W2164040995","https://openalex.org/W2165406227","https://openalex.org/W2395759774","https://openalex.org/W2610838890","https://openalex.org/W2731171009","https://openalex.org/W2747803690","https://openalex.org/W2769264085","https://openalex.org/W2897453016","https://openalex.org/W2926585089","https://openalex.org/W3003506411","https://openalex.org/W3004178587","https://openalex.org/W3008977765","https://openalex.org/W3011916980","https://openalex.org/W3046729549","https://openalex.org/W3159475051","https://openalex.org/W4289257140","https://openalex.org/W6640122379","https://openalex.org/W6679608865"],"related_works":["https://openalex.org/W2379533788","https://openalex.org/W2981505569","https://openalex.org/W2083672028","https://openalex.org/W2360796461","https://openalex.org/W1966433320","https://openalex.org/W2000160031","https://openalex.org/W2883969845","https://openalex.org/W2081105808","https://openalex.org/W2019297226","https://openalex.org/W3184911036"],"abstract_inverted_index":{"Missing":[0],"data":[1,5,21,89],"is":[2,36,110,134],"a":[3,25,33,62,83,123,126],"major":[4],"reliability":[6],"problem":[7],"in":[8,22,58,82],"spatio-temporal":[9],"(ST)":[10],"applications.":[11],"This":[12],"article":[13],"proposes":[14],"an":[15,39],"online":[16],"method":[17],"for":[18],"estimating":[19],"missing":[20,88,96],"case":[23],"of":[24,45,61,68,103,122,131],"network":[26,139],"of$n$sensors.":[27],"The":[28,42,66,78,107,129],"true":[29],"sensor":[30,138],"value":[31],"at":[32],"specific":[34],"location":[35],"expressed":[37],"using":[38,73],"integro-difference":[40],"equation.":[41,106],"Karhunen–Loéve":[43],"Expansion":[44],"the":[46,53,59,69,74,92,95,100,114,118,132],"spatial":[47],"process":[48],"allows":[49],"one":[50],"to":[51],"represent":[52],"ST":[54],"field":[55],"values":[56],"at$n$locations":[57],"form":[60],"linear":[63],"state-space":[64],"model.":[65],"parameters":[67,79],"model":[70],"are":[71,80,90],"identified":[72],"maximum":[75],"likelihood":[76],"method.":[77],"updated":[81],"rolling":[84],"window":[85],"approach.":[86],"Whenever":[87],"encountered,":[91],"algorithm":[93,133],"predicts":[94],"observations":[97],"based":[98],"on":[99,136],"constrained":[101,108],"solution":[102,109],"state":[104,116],"evolution":[105],"obtained":[111],"by":[112],"representing":[113],"optimal":[115],"as":[117],"orthogonal":[119],"sum":[120],"decomposition":[121],"deterministic":[124],"and":[125],"stochastic":[127],"component.":[128],"utility":[130],"presented":[135],"two":[137],"datasets.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}