{"id":"https://openalex.org/W2771211730","doi":"https://doi.org/10.23919/spa.2017.8166883","title":"Gentle Adaboost algorithm for weld defect classification","display_name":"Gentle Adaboost algorithm for weld defect classification","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2771211730","doi":"https://doi.org/10.23919/spa.2017.8166883","mag":"2771211730"},"language":"en","primary_location":{"id":"doi:10.23919/spa.2017.8166883","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa.2017.8166883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","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/A5046307472","display_name":"Faiza Mekhalfa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086178","display_name":"Research Center in Industrial Technologies","ror":"https://ror.org/00qhvgf79","country_code":"DZ","type":"facility","lineage":["https://openalex.org/I4210086178"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Faiza Mekhalfa","raw_affiliation_strings":["Research Center in Industrial Technology, CRTI, Algiers, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center in Industrial Technology, CRTI, Algiers, Algeria","institution_ids":["https://openalex.org/I4210086178"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090627178","display_name":"Nafa\u00e2 Nacereddine","orcid":"https://orcid.org/0000-0003-1351-2200"},"institutions":[{"id":"https://openalex.org/I4210155582","display_name":"Centre Universitaire de Mila","ror":"https://ror.org/05s3cw058","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210155582"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Nafaa Nacereddine","raw_affiliation_strings":["Lab. des Math. et leurs Interactions, Centre Univ. de Mila, Mila, Algerie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lab. des Math. et leurs Interactions, Centre Univ. de Mila, Mila, Algerie","institution_ids":["https://openalex.org/I4210155582"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.425,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.81251252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"301","last_page":"306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12282","display_name":"Mineral Processing and Grinding","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/adaboost","display_name":"AdaBoost","score":0.8523551821708679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7339292168617249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6833525896072388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6392565369606018},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6374956965446472},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6318028569221497},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4835514724254608}],"concepts":[{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.8523551821708679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7339292168617249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6833525896072388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6392565369606018},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6374956965446472},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6318028569221497},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4835514724254608}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/spa.2017.8166883","is_oa":false,"landing_page_url":"https://doi.org/10.23919/spa.2017.8166883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6299999952316284,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1558714146","https://openalex.org/W1675170551","https://openalex.org/W1979473816","https://openalex.org/W1988790447","https://openalex.org/W1992913703","https://openalex.org/W2003260632","https://openalex.org/W2024046085","https://openalex.org/W2032210760","https://openalex.org/W2043190319","https://openalex.org/W2063573220","https://openalex.org/W2069928811","https://openalex.org/W2086936614","https://openalex.org/W2132763323","https://openalex.org/W2144374868","https://openalex.org/W2145073242","https://openalex.org/W2155141959","https://openalex.org/W2159274714","https://openalex.org/W2159498975","https://openalex.org/W2185973722","https://openalex.org/W2187098286","https://openalex.org/W2890775565","https://openalex.org/W4249572517","https://openalex.org/W6633356604","https://openalex.org/W6681651645","https://openalex.org/W6686778916"],"related_works":["https://openalex.org/W3039673966","https://openalex.org/W2002351707","https://openalex.org/W2035096001","https://openalex.org/W4293699968","https://openalex.org/W4312843811","https://openalex.org/W2146767093","https://openalex.org/W2387288480","https://openalex.org/W2041041500","https://openalex.org/W1667287666","https://openalex.org/W2069475801"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"present":[4],"a":[5],"new":[6],"strategy":[7],"for":[8,104],"automatic":[9,85],"classification":[10,42,88],"of":[11,40,48,62,67],"weld":[12,86],"defects":[13],"in":[14],"radiographs":[15],"based":[16],"on":[17],"Gentle":[18,35,79],"Adaboost":[19,36,80],"algorithm.":[20],"Radiographic":[21],"images":[22],"were":[23,28],"segmented":[24],"and":[25,30,70,90,95],"moment-based":[26],"features":[27],"extracted":[29],"given":[31],"as":[32],"input":[33],"to":[34,55],"classifier.":[37],"The":[38,51,73],"performance":[39],"our":[41],"system":[43],"is":[44,53,82,96],"evaluated":[45],"using":[46],"hundreds":[47],"radiographic":[49],"images.":[50],"classifier":[52,81],"trained":[54],"classify":[56],"each":[57],"defect":[58,87],"pattern":[59],"into":[60],"one":[61],"four":[63],"classes:":[64],"Crack,":[65],"Lack":[66],"penetration,":[68],"Porosity,":[69],"Solid":[71],"inclusion.":[72],"experimental":[74],"results":[75],"show":[76],"that":[77],"the":[78,105],"an":[83],"efficient":[84],"algorithm":[89],"can":[91],"achieve":[92],"high":[93],"accuracy":[94],"faster":[97],"than":[98],"support":[99],"vector":[100],"machine":[101],"(SVM)":[102],"algorithm,":[103],"tested":[106],"data.":[107]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}