{"id":"https://openalex.org/W7130524504","doi":"https://doi.org/10.1016/j.engappai.2026.114216","title":"Regression prediction of non-metallic pipeline damage degree based on time-frequency domain acoustic sequence processing and transformer-Newton-Raphson-based optimizer-categorical boosting","display_name":"Regression prediction of non-metallic pipeline damage degree based on time-frequency domain acoustic sequence processing and transformer-Newton-Raphson-based optimizer-categorical boosting","publication_year":2026,"publication_date":"2026-02-19","ids":{"openalex":"https://openalex.org/W7130524504","doi":"https://doi.org/10.1016/j.engappai.2026.114216"},"language":"en","primary_location":{"id":"doi:10.1016/j.engappai.2026.114216","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114216","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","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/A5001947142","display_name":"Xiaojuan Han","orcid":"https://orcid.org/0000-0003-4346-1184"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojuan Han","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, 102206, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, 102206, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126401906","display_name":"Ruiqi Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiqi Fan","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Beijing, 102206, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Beijing, 102206, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiwang Cui","orcid":"https://orcid.org/0000-0001-5053-8317"},"institutions":[{"id":"https://openalex.org/I78675632","display_name":"Beijing Information Science & Technology University","ror":"https://ror.org/04xnqep60","country_code":"CN","type":"education","lineage":["https://openalex.org/I78675632"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiwang Cui","raw_affiliation_strings":["School of Instrumentation Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192, China"],"raw_orcid":"https://orcid.org/0000-0001-5053-8317","affiliations":[{"raw_affiliation_string":"School of Instrumentation Science and Opto-Electronics Engineering, Beijing Information Science and Technology University, Beijing, 100192, China","institution_ids":["https://openalex.org/I78675632"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5126419018","display_name":"Yan Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Gao","raw_affiliation_strings":["State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5126419018"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210099069","https://openalex.org/I78675632"],"apc_list":{"value":3170,"currency":"USD","value_usd":3170},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35520674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"170","issue":null,"first_page":"114216","last_page":"114216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11220","display_name":"Water Systems and Optimization","score":0.9821000099182129,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.00559999980032444,"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/T12233","display_name":"Geotechnical Engineering and Underground Structures","score":0.004800000227987766,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/leak","display_name":"Leak","score":0.7903000116348267},{"id":"https://openalex.org/keywords/leak-detection","display_name":"Leak detection","score":0.5139999985694885},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4878999888896942},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.4047999978065491},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.3971000015735626},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.37790000438690186},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.37790000438690186},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.37470000982284546}],"concepts":[{"id":"https://openalex.org/C2780378346","wikidata":"https://www.wikidata.org/wiki/Q1349983","display_name":"Leak","level":2,"score":0.7903000116348267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7476999759674072},{"id":"https://openalex.org/C2987355568","wikidata":"https://www.wikidata.org/wiki/Q4420957","display_name":"Leak detection","level":3,"score":0.5139999985694885},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4878999888896942},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.4047999978065491},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.3971000015735626},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.37790000438690186},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.37790000438690186},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.37470000982284546},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.35850000381469727},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.35019999742507935},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.3319000005722046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3262999951839447},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.31949999928474426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31779998540878296},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.3133000135421753},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2849999964237213},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2793000042438507},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.2728999853134155},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.2630999982357025}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.engappai.2026.114216","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.engappai.2026.114216","pdf_url":null,"source":{"id":"https://openalex.org/S900972176","display_name":"Engineering Applications of Artificial Intelligence","issn_l":"0952-1976","issn":["0952-1976","1873-6769"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Applications of Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.45831775665283203,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1988198834","https://openalex.org/W2519648241","https://openalex.org/W2913408913","https://openalex.org/W2985706489","https://openalex.org/W3048247926","https://openalex.org/W3202688760","https://openalex.org/W3204271037","https://openalex.org/W4205397740","https://openalex.org/W4223493137","https://openalex.org/W4229374064","https://openalex.org/W4281264683","https://openalex.org/W4283785646","https://openalex.org/W4289334225","https://openalex.org/W4307288581","https://openalex.org/W4312203791","https://openalex.org/W4313215904","https://openalex.org/W4319072881","https://openalex.org/W4323306150","https://openalex.org/W4362640545","https://openalex.org/W4366747905","https://openalex.org/W4380204636","https://openalex.org/W4380792622","https://openalex.org/W4382583402","https://openalex.org/W4386827701","https://openalex.org/W4388966732","https://openalex.org/W4389636822","https://openalex.org/W4391147867","https://openalex.org/W4399423157","https://openalex.org/W4399557788","https://openalex.org/W4399988318","https://openalex.org/W4401020831","https://openalex.org/W4401807480","https://openalex.org/W4402341309","https://openalex.org/W4403417217","https://openalex.org/W4405632401","https://openalex.org/W4405858526","https://openalex.org/W4410335339","https://openalex.org/W4410632246","https://openalex.org/W4414573412"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-02-20T17:44:18.066148","created_date":"2026-02-19T00:00:00"}
