{"id":"https://openalex.org/W3017222518","doi":"https://doi.org/10.3390/s20082350","title":"Choosing the Best Sensor Fusion Method: A Machine-Learning Approach","display_name":"Choosing the Best Sensor Fusion Method: A Machine-Learning Approach","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3017222518","doi":"https://doi.org/10.3390/s20082350","mag":"3017222518","pmid":"https://pubmed.ncbi.nlm.nih.gov/32326125"},"language":"en","primary_location":{"id":"doi:10.3390/s20082350","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20082350","pdf_url":"https://www.mdpi.com/1424-8220/20/8/2350/pdf?version=1587889772","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/8/2350/pdf?version=1587889772","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038666616","display_name":"Ram\u00f3n Brena","orcid":"https://orcid.org/0000-0002-0995-2273"},"institutions":[{"id":"https://openalex.org/I98461037","display_name":"Tecnol\u00f3gico de Monterrey","ror":"https://ror.org/03ayjn504","country_code":"MX","type":"education","lineage":["https://openalex.org/I98461037"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Ramon F. Brena","raw_affiliation_strings":["Tecnologico de Monterrey, Av. Eugenio Garza Sada 2501 Sur, Monterrey 64849, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-0995-2273","affiliations":[{"raw_affiliation_string":"Tecnologico de Monterrey, Av. Eugenio Garza Sada 2501 Sur, Monterrey 64849, Mexico","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030561177","display_name":"Antonio A. Aguileta","orcid":"https://orcid.org/0000-0001-5155-3543"},"institutions":[{"id":"https://openalex.org/I23878562","display_name":"Autonomous University of Yucat\u00e1n","ror":"https://ror.org/032p1n739","country_code":"MX","type":"education","lineage":["https://openalex.org/I23878562"]},{"id":"https://openalex.org/I98461037","display_name":"Tecnol\u00f3gico de Monterrey","ror":"https://ror.org/03ayjn504","country_code":"MX","type":"education","lineage":["https://openalex.org/I98461037"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Antonio A. Aguileta","raw_affiliation_strings":["Facultad de Matem\u00e1ticas, Universidad Aut\u00f3noma de Yucat\u00e1n, Anillo Perif\u00e9rico Norte, Tablaje Cat. 13615, Colonia Chuburn\u00e1 Hidalgo Inn, M\u00e9rida 97110, Mexico","Tecnologico de Monterrey, Av. Eugenio Garza Sada 2501 Sur, Monterrey 64849, Mexico"],"raw_orcid":"https://orcid.org/0000-0001-5155-3543","affiliations":[{"raw_affiliation_string":"Facultad de Matem\u00e1ticas, Universidad Aut\u00f3noma de Yucat\u00e1n, Anillo Perif\u00e9rico Norte, Tablaje Cat. 13615, Colonia Chuburn\u00e1 Hidalgo Inn, M\u00e9rida 97110, Mexico","institution_ids":["https://openalex.org/I23878562"]},{"raw_affiliation_string":"Tecnologico de Monterrey, Av. Eugenio Garza Sada 2501 Sur, Monterrey 64849, Mexico","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011568579","display_name":"Luis A. Trejo","orcid":"https://orcid.org/0000-0001-9741-4581"},"institutions":[{"id":"https://openalex.org/I98461037","display_name":"Tecnol\u00f3gico de Monterrey","ror":"https://ror.org/03ayjn504","country_code":"MX","type":"education","lineage":["https://openalex.org/I98461037"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Luis A. Trejo","raw_affiliation_strings":["Tecnologico de Monterrey, School of Engineering and Sciences, Carretera al Lago de Guadalupe Km. 3.5, Atizap\u00e1n de Zaragoza 52926, Mexico"],"raw_orcid":"https://orcid.org/0000-0001-9741-4581","affiliations":[{"raw_affiliation_string":"Tecnologico de Monterrey, School of Engineering and Sciences, Carretera al Lago de Guadalupe Km. 3.5, Atizap\u00e1n de Zaragoza 52926, Mexico","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061376661","display_name":"Erik Molino Minero","orcid":"https://orcid.org/0000-0002-7615-4431"},"institutions":[{"id":"https://openalex.org/I8961855","display_name":"Universidad Nacional Aut\u00f3noma de M\u00e9xico","ror":"https://ror.org/01tmp8f25","country_code":"MX","type":"education","lineage":["https://openalex.org/I8961855"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Erik Molino-Minero-Re","raw_affiliation_strings":["Instituto de Investigaciones en Matem\u00e1ticas Aplicadas y en Sistemas\u2014Sede M\u00e9rida, Unidad Acad\u00e9mica de Ciencias y Tecnolog\u00eda de la UNAM en Yucat\u00e1n, Universidad Nacional Aut\u00f3noma de M\u00e9xico, Sierra Papacal 97302, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-7615-4431","affiliations":[{"raw_affiliation_string":"Instituto de Investigaciones en Matem\u00e1ticas Aplicadas y en Sistemas\u2014Sede M\u00e9rida, Unidad Acad\u00e9mica de Ciencias y Tecnolog\u00eda de la UNAM en Yucat\u00e1n, Universidad Nacional Aut\u00f3noma de M\u00e9xico, Sierra Papacal 97302, Mexico","institution_ids":["https://openalex.org/I8961855"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042343737","display_name":"Oscar Mayora","orcid":"https://orcid.org/0000-0002-5773-3876"},"institutions":[{"id":"https://openalex.org/I2277624104","display_name":"Fondazione Bruno Kessler","ror":"https://ror.org/01j33xk10","country_code":"IT","type":"facility","lineage":["https://openalex.org/I2277624104"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Oscar Mayora","raw_affiliation_strings":["Fandazione Bruno Kessler Foundation, 38123 Trento, Italy"],"raw_orcid":"https://orcid.org/0000-0002-5773-3876","affiliations":[{"raw_affiliation_string":"Fandazione Bruno Kessler Foundation, 38123 Trento, Italy","institution_ids":["https://openalex.org/I2277624104"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5030561177"],"corresponding_institution_ids":["https://openalex.org/I23878562","https://openalex.org/I98461037"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.613,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.89618413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"20","issue":"8","first_page":"2350","last_page":"2350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10320","display_name":"Neural Networks and Applications","score":0.9771000146865845,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9668999910354614,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.8862432241439819},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.7092496752738953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6641062498092651},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6345512866973877},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6178445816040039},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6003357172012329},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6000299453735352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5964182019233704},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5755835771560669},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5451534986495972},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5398752689361572},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5294703245162964},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.41338881850242615}],"concepts":[{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.8862432241439819},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.7092496752738953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6641062498092651},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6345512866973877},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6178445816040039},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6003357172012329},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6000299453735352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5964182019233704},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5755835771560669},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5451534986495972},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5398752689361572},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5294703245162964},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.41338881850242615},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s20082350","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20082350","pdf_url":"https://www.mdpi.com/1424-8220/20/8/2350/pdf?version=1587889772","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:32326125","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32326125","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:6703e2dcb45249028acf79893d8a1e5f","is_oa":true,"landing_page_url":"https://doaj.org/article/6703e2dcb45249028acf79893d8a1e5f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 20, Iss 8, p 2350 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/8/2350/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20082350","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7219245","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7219245","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20082350","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20082350","pdf_url":"https://www.mdpi.com/1424-8220/20/8/2350/pdf?version=1587889772","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8100000023841858,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3017222518.pdf","grobid_xml":"https://content.openalex.org/works/W3017222518.grobid-xml"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W95821903","https://openalex.org/W344769587","https://openalex.org/W405321894","https://openalex.org/W1565746575","https://openalex.org/W1581231885","https://openalex.org/W1780185704","https://openalex.org/W1852728451","https://openalex.org/W1917387980","https://openalex.org/W1968392970","https://openalex.org/W1973948212","https://openalex.org/W1974758710","https://openalex.org/W1987591352","https://openalex.org/W1988790447","https://openalex.org/W2006463578","https://openalex.org/W2008545433","https://openalex.org/W2016893510","https://openalex.org/W2016934956","https://openalex.org/W2018608640","https://openalex.org/W2022851810","https://openalex.org/W2025723605","https://openalex.org/W2026297770","https://openalex.org/W2036714085","https://openalex.org/W2044445916","https://openalex.org/W2053101950","https://openalex.org/W2053328314","https://openalex.org/W2063005236","https://openalex.org/W2085789144","https://openalex.org/W2089713804","https://openalex.org/W2089791656","https://openalex.org/W2090334843","https://openalex.org/W2099336098","https://openalex.org/W2101234009","https://openalex.org/W2103532308","https://openalex.org/W2113746910","https://openalex.org/W2121044470","https://openalex.org/W2123504417","https://openalex.org/W2126511896","https://openalex.org/W2138376863","https://openalex.org/W2140944144","https://openalex.org/W2146610201","https://openalex.org/W2149354205","https://openalex.org/W2158449659","https://openalex.org/W2171809276","https://openalex.org/W2219995598","https://openalex.org/W2270422077","https://openalex.org/W2274499208","https://openalex.org/W2296311849","https://openalex.org/W2309693750","https://openalex.org/W2498119267","https://openalex.org/W2518937691","https://openalex.org/W2548335893","https://openalex.org/W2560095384","https://openalex.org/W2563686712","https://openalex.org/W2572664723","https://openalex.org/W2585878786","https://openalex.org/W2590019597","https://openalex.org/W2626046541","https://openalex.org/W2734834614","https://openalex.org/W2891904281","https://openalex.org/W2898761039","https://openalex.org/W2911964244","https://openalex.org/W2942013618","https://openalex.org/W2971659033","https://openalex.org/W3023058184","https://openalex.org/W4214808146","https://openalex.org/W4230516584","https://openalex.org/W4240439880","https://openalex.org/W4241727697","https://openalex.org/W4298082496","https://openalex.org/W6675354045","https://openalex.org/W6678230397","https://openalex.org/W6685747873","https://openalex.org/W6982728064","https://openalex.org/W7024384709"],"related_works":["https://openalex.org/W2045049461","https://openalex.org/W1978893398","https://openalex.org/W2201908702","https://openalex.org/W4381094582","https://openalex.org/W2600085362","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Multi-sensor":[0],"fusion":[1,67,104,208,227],"refers":[2],"to":[3,21,32,69,77,114,151,162,167,183,219],"methods":[4],"used":[5],"for":[6,26,85,211,224],"combining":[7],"information":[8],"coming":[9],"from":[10,131,138],"several":[11,55],"sensors":[12,56,90],"(in":[13],"some":[14],"cases,":[15],"different":[16,170],"ones)":[17],"with":[18,126],"the":[19,27,34,38,51,70,83,98,116,127,146,152,190,206],"aim":[20],"make":[22],"one":[23],"sensor":[24,226],"compensate":[25],"weaknesses":[28],"of":[29,40,54,66,80,89,100,134,154,189],"others":[30],"or":[31,37],"improve":[33],"overall":[35],"accuracy":[36],"reliability":[39],"a":[41,86,92,109,123,135,142,212,221],"decision-making":[42],"process.":[43],"Indeed,":[44],"this":[45,158,195],"area":[46],"has":[47,57],"made":[48],"progress,":[49],"and":[50,91,176],"combined":[52],"use":[53],"been":[58],"so":[59],"successful":[60],"that":[61,72,201],"many":[62],"authors":[63],"proposed":[64,108],"variants":[65],"methods,":[68],"point":[71],"it":[73],"is":[74,82,149],"now":[75],"hard":[76],"tell":[78],"which":[79,139],"them":[81],"best":[84,117,207],"given":[87,93,213],"set":[88,125],"application":[94],"context.":[95],"To":[96],"address":[97],"issue":[99],"choosing":[101],"an":[102],"adequate":[103],"method,":[105],"we":[106,140,160],"recently":[107],"machine-learning":[110],"data-driven":[111],"approach":[112,121],"able":[113,218],"predict":[115],"merging":[118],"strategy.":[119],"This":[120],"uses":[122],"meta-data":[124],"Statistical":[128],"signatures":[129],"extracted":[130],"data":[132,214],"sets":[133],"particular":[136],"domain,":[137],"train":[141],"prediction":[143],"model.":[144],"However,":[145],"mentioned":[147],"work":[148,166],"restricted":[150],"recognition":[153],"human":[155],"activities.":[156],"In":[157],"paper,":[159],"propose":[161],"extend":[163],"our":[164,202,225],"previous":[165],"other":[168],"very":[169],"contexts,":[171],"such":[172],"as":[173],"gas":[174],"detection":[175],"grammatical":[177],"face":[178],"expression":[179],"identification,":[180],"in":[181,194],"order":[182],"test":[184],"its":[185],"generality.":[186],"The":[187],"extensions":[188],"method":[191,209],"are":[192],"presented":[193],"paper.":[196],"Our":[197],"experimental":[198],"results":[199],"show":[200],"extended":[203],"model":[204],"predicts":[205],"well":[210],"set,":[215],"making":[216],"us":[217],"claim":[220],"broad":[222],"generality":[223],"method.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}