{"id":"https://openalex.org/W3174414720","doi":"https://doi.org/10.1155/2021/1207167","title":"Nuclear Fusion Pattern Recognition by Ensemble Learning","display_name":"Nuclear Fusion Pattern Recognition by Ensemble Learning","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3174414720","doi":"https://doi.org/10.1155/2021/1207167","mag":"3174414720"},"language":"en","primary_location":{"id":"doi:10.1155/2021/1207167","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/1207167","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/1207167.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2021/1207167.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086385154","display_name":"Gonzalo Far\u00edas","orcid":"https://orcid.org/0000-0003-2186-4126"},"institutions":[{"id":"https://openalex.org/I130474213","display_name":"Pontificia Universidad Cat\u00f3lica de Valpara\u00edso","ror":"https://ror.org/02cafbr77","country_code":"CL","type":"education","lineage":["https://openalex.org/I130474213"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"G. Farias","raw_affiliation_strings":["Pontificia Universidad Catolica de Valparaiso, Avenida Brasil 2147, Valparaiso 2362804, Chile","Pontificia Universidad Catolica de Valparaiso, Avenida Brasil 2147, Valparaiso 2362804"],"affiliations":[{"raw_affiliation_string":"Pontificia Universidad Catolica de Valparaiso, Avenida Brasil 2147, Valparaiso 2362804, Chile","institution_ids":["https://openalex.org/I130474213"]},{"raw_affiliation_string":"Pontificia Universidad Catolica de Valparaiso, Avenida Brasil 2147, Valparaiso 2362804","institution_ids":["https://openalex.org/I130474213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026202963","display_name":"Ernesto F\u00e1bregas","orcid":"https://orcid.org/0000-0003-4478-6626"},"institutions":[{"id":"https://openalex.org/I178450904","display_name":"Universidad Nacional de Educaci\u00f3n a Distancia","ror":"https://ror.org/02msb5n36","country_code":"ES","type":"education","lineage":["https://openalex.org/I178450904"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"E. Fabregas","raw_affiliation_strings":["Departamento de Informtica y Automtica, Universidad Nacional de Educacin a Distancia, Juan Del Rosal 16, Madrid 28040, Spain","Departamento de Inform\u00e1tica y Autom\u00e1tica, Universidad Nacional de Educaci\u00f3n a Distancia, Juan Del Rosal 16, Madrid 28040"],"affiliations":[{"raw_affiliation_string":"Departamento de Informtica y Automtica, Universidad Nacional de Educacin a Distancia, Juan Del Rosal 16, Madrid 28040, Spain","institution_ids":["https://openalex.org/I178450904"]},{"raw_affiliation_string":"Departamento de Inform\u00e1tica y Autom\u00e1tica, Universidad Nacional de Educaci\u00f3n a Distancia, Juan Del Rosal 16, Madrid 28040","institution_ids":["https://openalex.org/I178450904"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085164604","display_name":"Ismael Mart\u00ednez","orcid":"https://orcid.org/0000-0002-0735-7876"},"institutions":[{"id":"https://openalex.org/I130474213","display_name":"Pontificia Universidad Cat\u00f3lica de Valpara\u00edso","ror":"https://ror.org/02cafbr77","country_code":"CL","type":"education","lineage":["https://openalex.org/I130474213"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"I. Mart\u00ednez","raw_affiliation_strings":["Pontificia Universidad Catolica de Valparaiso, Avenida Brasil 2147, Valparaiso 2362804"],"affiliations":[{"raw_affiliation_string":"Pontificia Universidad Catolica de Valparaiso, Avenida Brasil 2147, Valparaiso 2362804","institution_ids":["https://openalex.org/I130474213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081098370","display_name":"J. Vega","orcid":"https://orcid.org/0000-0002-1622-3984"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]},{"id":"https://openalex.org/I4210165411","display_name":"Centro de Investigaciones Energ\u00e9ticas, Medioambientales y Tecnol\u00f3gicas","ror":"https://ror.org/05xx77y52","country_code":"ES","type":"facility","lineage":["https://openalex.org/I4210165411"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. Vega","raw_affiliation_strings":["Laboratorio Nacional de Fusin, CIEMAT, Avenida Complutense 40, Madrid 28040, Spain","Laboratorio Nacional de Fusi\u00f3n, CIEMAT, Avenida Complutense 40, Madrid 28040"],"affiliations":[{"raw_affiliation_string":"Laboratorio Nacional de Fusin, CIEMAT, Avenida Complutense 40, Madrid 28040, Spain","institution_ids":["https://openalex.org/I121748325"]},{"raw_affiliation_string":"Laboratorio Nacional de Fusi\u00f3n, CIEMAT, Avenida Complutense 40, Madrid 28040","institution_ids":["https://openalex.org/I121748325","https://openalex.org/I4210165411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071036387","display_name":"S. Dormido-Canto","orcid":"https://orcid.org/0000-0001-7652-5338"},"institutions":[{"id":"https://openalex.org/I178450904","display_name":"Universidad Nacional de Educaci\u00f3n a Distancia","ror":"https://ror.org/02msb5n36","country_code":"ES","type":"education","lineage":["https://openalex.org/I178450904"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"S. Dormido-Canto","raw_affiliation_strings":["Departamento de Informtica y Automtica, Universidad Nacional de Educacin a Distancia, Juan Del Rosal 16, Madrid 28040, Spain","Departamento de Inform\u00e1tica y Autom\u00e1tica, Universidad Nacional de Educaci\u00f3n a Distancia, Juan Del Rosal 16, Madrid 28040"],"affiliations":[{"raw_affiliation_string":"Departamento de Informtica y Automtica, Universidad Nacional de Educacin a Distancia, Juan Del Rosal 16, Madrid 28040, Spain","institution_ids":["https://openalex.org/I178450904"]},{"raw_affiliation_string":"Departamento de Inform\u00e1tica y Autom\u00e1tica, Universidad Nacional de Educaci\u00f3n a Distancia, Juan Del Rosal 16, Madrid 28040","institution_ids":["https://openalex.org/I178450904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011811320","display_name":"H\u00e9ctor Vargas","orcid":"https://orcid.org/0000-0001-6726-6100"},"institutions":[{"id":"https://openalex.org/I130474213","display_name":"Pontificia Universidad Cat\u00f3lica de Valpara\u00edso","ror":"https://ror.org/02cafbr77","country_code":"CL","type":"education","lineage":["https://openalex.org/I130474213"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"H. Vargas","raw_affiliation_strings":["Pontificia Universidad Catolica de Valparaiso, Avenida Brasil 2147, Valparaiso 2362804, Chile","Pontificia Universidad Catolica de Valparaiso, Avenida Brasil 2147, Valparaiso 2362804"],"affiliations":[{"raw_affiliation_string":"Pontificia Universidad Catolica de Valparaiso, Avenida Brasil 2147, Valparaiso 2362804, Chile","institution_ids":["https://openalex.org/I130474213"]},{"raw_affiliation_string":"Pontificia Universidad Catolica de Valparaiso, Avenida Brasil 2147, Valparaiso 2362804","institution_ids":["https://openalex.org/I130474213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5086385154"],"corresponding_institution_ids":["https://openalex.org/I130474213"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.6173,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66434922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2021","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12073","display_name":"Isotope Analysis in Ecology","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11949","display_name":"Nuclear Physics and Applications","score":0.9559999704360962,"subfield":{"id":"https://openalex.org/subfields/3108","display_name":"Radiation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7425834536552429},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7316877245903015},{"id":"https://openalex.org/keywords/safer","display_name":"SAFER","score":0.6206411123275757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6079639196395874},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5866241455078125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5563812255859375},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.5426815152168274},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5305735468864441},{"id":"https://openalex.org/keywords/nuclear-fusion","display_name":"Nuclear fusion","score":0.5117275714874268},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.483711302280426},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.46145519614219666},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4554348886013031},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.44863975048065186},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34741777181625366},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.27142763137817383},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0871642529964447}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7425834536552429},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7316877245903015},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.6206411123275757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6079639196395874},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5866241455078125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5563812255859375},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.5426815152168274},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5305735468864441},{"id":"https://openalex.org/C69285833","wikidata":"https://www.wikidata.org/wiki/Q13082","display_name":"Nuclear fusion","level":2,"score":0.5117275714874268},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.483711302280426},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.46145519614219666},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4554348886013031},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.44863975048065186},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34741777181625366},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.27142763137817383},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0871642529964447},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2021/1207167","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/1207167","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/1207167.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:1207167","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/complexity/2021/1207167.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:4b517cf9b1f24c4ab10fe0240d205ded","is_oa":true,"landing_page_url":"https://doaj.org/article/4b517cf9b1f24c4ab10fe0240d205ded","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":"Complexity, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/1207167","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/1207167","pdf_url":"https://downloads.hindawi.com/journals/complexity/2021/1207167.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1006721668","display_name":null,"funder_award_id":"FONDECYT","funder_id":"https://openalex.org/F4320331146","funder_display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo"},{"id":"https://openalex.org/G262794225","display_name":null,"funder_award_id":"FONDECYT 1191188","funder_id":"https://openalex.org/F4320331146","funder_display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo"},{"id":"https://openalex.org/G3690828678","display_name":null,"funder_award_id":"PID2019","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G3957122029","display_name":null,"funder_award_id":"1191188","funder_id":"https://openalex.org/F4320338073","funder_display_name":"Fondo Nacional de Desarrollo Cient\u00edfico y Tecnol\u00f3gico"},{"id":"https://openalex.org/G5713408903","display_name":"BIG DATA FOR NUCLEAR FUSION MACHINE LEARNING-BASED ANOMALY DETECTION GENERATION AND VISUALIZATION OF DATA IN THERMONUCLEAR FUSION DEVICES","funder_award_id":"1191188","funder_id":"https://openalex.org/F4320331146","funder_display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo"},{"id":"https://openalex.org/G7189069319","display_name":null,"funder_award_id":"PID2019-108377RB-C31","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G8533758994","display_name":null,"funder_award_id":"PID2019-108377RB-C32","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320322930","display_name":"Ministerio de Ciencia e Innovaci\u00f3n","ror":"https://ror.org/034900433"},{"id":"https://openalex.org/F4320331146","display_name":"Agencia Nacional de Investigaci\u00f3n y Desarrollo","ror":null},{"id":"https://openalex.org/F4320338073","display_name":"Fondo Nacional de Desarrollo Cient\u00edfico y Tecnol\u00f3gico","ror":"https://ror.org/02ap3w078"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3174414720.pdf","grobid_xml":"https://content.openalex.org/works/W3174414720.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W87564900","https://openalex.org/W1486656935","https://openalex.org/W1778862665","https://openalex.org/W1963551207","https://openalex.org/W1977233840","https://openalex.org/W1978444688","https://openalex.org/W1988790447","https://openalex.org/W2005423810","https://openalex.org/W2023086881","https://openalex.org/W2046978412","https://openalex.org/W2102297952","https://openalex.org/W2128280063","https://openalex.org/W2143988768","https://openalex.org/W2160516632","https://openalex.org/W2461598051","https://openalex.org/W2477154214","https://openalex.org/W2526998347","https://openalex.org/W2615714609","https://openalex.org/W2777138789","https://openalex.org/W2777928188","https://openalex.org/W2789327431","https://openalex.org/W2803217596","https://openalex.org/W2894724253","https://openalex.org/W2901539598","https://openalex.org/W2945102769"],"related_works":["https://openalex.org/W4382315444","https://openalex.org/W4233259193","https://openalex.org/W2600353413","https://openalex.org/W4390916549","https://openalex.org/W2915435096","https://openalex.org/W4381298925","https://openalex.org/W4285213578","https://openalex.org/W2097856925","https://openalex.org/W1997565450","https://openalex.org/W4298012357"],"abstract_inverted_index":{"Nuclear":[0],"fusion":[1,49,210],"is":[2,21,63,76,83,178],"the":[3,25,98,109,143,152,169,186,207],"process":[4],"by":[5,24],"which":[6],"two":[7],"or":[8],"more":[9],"atomic":[10],"nuclei":[11],"join":[12],"together":[13],"to":[14,65,78,91,106,151,160,167,182,197],"form":[15],"a":[16,51,67,119],"single":[17],"heavier":[18],"nucleus.":[19],"This":[20,32],"usually":[22],"accompanied":[23],"release":[26],"of":[27,30,54,70,112,139,188,202,206],"large":[28,52],"quantities":[29],"energy.":[31],"energy":[33],"could":[34],"be":[35,104],"cheaper,":[36],"cleaner,":[37],"and":[38,74,125,184],"safer":[39],"than":[40],"other":[41],"technology":[42],"currently":[43],"in":[44,47,59,94,213],"use.":[45],"Experiments":[46],"nuclear":[48],"generate":[50],"number":[53],"signals":[55,205],"that":[56,141,165],"are":[57],"stored":[58],"huge":[60],"databases.":[61],"It":[62],"impossible":[64],"do":[66],"complete":[68],"analysis":[69],"this":[71,80,92,155],"data":[72],"manually,":[73],"it":[75,172],"essential":[77],"automate":[79],"process.":[81],"That":[82],"why":[84],"machine":[85],"learning":[86],"models":[87,177],"have":[88],"been":[89,195],"used":[90],"end":[93],"previous":[95],"years.":[96],"In":[97,154,180],"literature,":[99],"several":[100],"popular":[101],"algorithms":[102],"can":[103],"found":[105],"carry":[107],"out":[108],"automatic":[110],"classification":[111,201],"signals.":[113],"Among":[114],"these,":[115],"ensemble":[116],"methods":[117],"provide":[118],"good":[120],"balance":[121],"between":[122],"success":[123],"rate":[124],"internal":[126],"information":[127],"about":[128],"models.":[129,153],"Specifically,":[130],"AdaBoost":[131],"algorithm":[132],"will":[133],"allow":[134],"obtaining":[135],"an":[136,157,162,191,199],"explicit":[137],"set":[138],"rules":[140],"explains":[142],"class":[144],"for":[145],"each":[146],"input":[147],"data,":[148],"adding":[149],"interpretability":[150],"paper,":[156],"innovative":[158],"approach":[159],"perform":[161,198],"online":[163,200],"classification,":[164],"is,":[166],"identify":[168],"discharge":[170],"before":[171],"actually":[173],"ends,":[174],"using":[175],"interpretable":[176],"presented.":[179],"order":[181],"evaluate":[183],"reveal":[185],"benefits":[187],"rule\u2010based":[189],"models,":[190],"illustrative":[192],"example":[193],"has":[194],"implemented":[196],"five":[203],"different":[204],"TJ\u2010II":[208],"stellarator":[209],"device":[211],"located":[212],"Madrid,":[214],"Spain.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}