{"id":"https://openalex.org/W2030960951","doi":"https://doi.org/10.1109/isccsp.2014.6877947","title":"An optimum framework for entities tracking in populations","display_name":"An optimum framework for entities tracking in populations","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2030960951","doi":"https://doi.org/10.1109/isccsp.2014.6877947","mag":"2030960951"},"language":"en","primary_location":{"id":"doi:10.1109/isccsp.2014.6877947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isccsp.2014.6877947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP)","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/A5032363978","display_name":"Pavel Loskot","orcid":"https://orcid.org/0000-0002-2773-2186"},"institutions":[{"id":"https://openalex.org/I39586589","display_name":"Swansea University","ror":"https://ror.org/053fq8t95","country_code":"GB","type":"education","lineage":["https://openalex.org/I39586589"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Pavel Loskot","raw_affiliation_strings":["College of Engineering, Swansea University, Swansea, United Kingdom","College of Engineering, Swansea University, Swansea, UK -"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Swansea University, Swansea, United Kingdom","institution_ids":["https://openalex.org/I39586589"]},{"raw_affiliation_string":"College of Engineering, Swansea University, Swansea, UK -","institution_ids":["https://openalex.org/I39586589"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5032363978"],"corresponding_institution_ids":["https://openalex.org/I39586589"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08342525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5303","issue":null,"first_page":"602","last_page":"605"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9811999797821045,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9811999797821045,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9516000151634216,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13030","display_name":"Survey Sampling and Estimation Techniques","score":0.9150999784469604,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.7443732023239136},{"id":"https://openalex.org/keywords/crowds","display_name":"Crowds","score":0.7059372663497925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7009559273719788},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5886078476905823},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5828532576560974},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5405752658843994},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5206572413444519},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.518268346786499},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.48960334062576294},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.4781709313392639},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4616137742996216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44932985305786133},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.4093291759490967},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38549190759658813},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15477415919303894},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14263060688972473},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11604323983192444}],"concepts":[{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.7443732023239136},{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.7059372663497925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7009559273719788},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5886078476905823},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5828532576560974},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5405752658843994},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5206572413444519},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.518268346786499},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.48960334062576294},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.4781709313392639},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4616137742996216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44932985305786133},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.4093291759490967},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38549190759658813},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15477415919303894},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14263060688972473},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11604323983192444},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isccsp.2014.6877947","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isccsp.2014.6877947","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:cronfa.swan.ac.uk:cronfa21292","is_oa":false,"landing_page_url":"https://cronfa.swan.ac.uk/Record/cronfa21292","pdf_url":null,"source":{"id":"https://openalex.org/S4306401612","display_name":"Cronfa (Swansea University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39586589","host_organization_name":"Swansea University","host_organization_lineage":["https://openalex.org/I39586589"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference contribution"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1482815597","https://openalex.org/W1989493360","https://openalex.org/W1998124720","https://openalex.org/W2015671099","https://openalex.org/W2532363096","https://openalex.org/W6628681060"],"related_works":["https://openalex.org/W1503532423","https://openalex.org/W2150865841","https://openalex.org/W1967494390","https://openalex.org/W245717845","https://openalex.org/W2138865713","https://openalex.org/W3013496002","https://openalex.org/W2169353922","https://openalex.org/W2465363361","https://openalex.org/W2896820906","https://openalex.org/W2101542441"],"abstract_inverted_index":{"The":[0],"entities":[1,42,124],"tracking":[2,36,57,69],"within":[3],"populations":[4,45],"is":[5,70],"a":[6,35,73,80],"task":[7],"encountered":[8],"in":[9,43,96,115],"many":[10],"scenarios":[11],"such":[12],"as":[13,72,118],"observations":[14],"of":[15,21,34,64,89,101,113,122],"the":[16,27,32,41,55,62,67,87,97,111,116,123],"biological":[17],"cells,":[18],"studying":[19],"behaviors":[20],"crowds,":[22],"and":[23],"evaluating":[24],"transactions":[25],"on":[26],"Internet.":[28],"This":[29],"paper":[30],"outlines":[31],"optimality":[33],"process":[37],"where":[38],"associations":[39],"between":[40],"consecutive":[44],"observed":[46],"at":[47],"discrete":[48],"time":[49],"instances":[50],"must":[51],"be":[52,105],"determined.":[53],"As":[54],"sub-optimum":[56],"methods":[58],"are":[59],"prone":[60],"to":[61,93,109],"propagation":[63],"association":[65],"errors,":[66],"optimum":[68],"defined":[71],"Maximum":[74,81],"A":[75,99],"posteriori":[76],"Probability":[77],"(MAP)":[78],"or":[79],"Likelihood":[82],"(ML)":[83],"estimation":[84],"problem":[85],"over":[86],"set":[88],"time-varying":[90],"attributes":[91,103],"associated":[92],"each":[94],"entity":[95],"population.":[98],"subset":[100],"these":[102],"can":[104],"then":[106],"also":[107],"used":[108],"evaluate":[110],"characteristics":[112],"individuals":[114],"population":[117],"one":[119],"direct":[120],"application":[121],"tracking.":[125]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
