{"id":"https://openalex.org/W4380077307","doi":"https://doi.org/10.1145/3589572.3589590","title":"Process Quality Prediction Algorithm of Multi output Workshop Based on ATT-CNN-TCN","display_name":"Process Quality Prediction Algorithm of Multi output Workshop Based on ATT-CNN-TCN","publication_year":2023,"publication_date":"2023-03-10","ids":{"openalex":"https://openalex.org/W4380077307","doi":"https://doi.org/10.1145/3589572.3589590"},"language":"en","primary_location":{"id":"doi:10.1145/3589572.3589590","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589572.3589590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Machine Vision and Applications","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/A5100741195","display_name":"Bin Yi","orcid":"https://orcid.org/0009-0000-8196-8141"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bin Yi","raw_affiliation_strings":["Technology center, China Tobacco Yunnan Industrial Co., Ltd. Yunnan Kunming, China"],"affiliations":[{"raw_affiliation_string":"Technology center, China Tobacco Yunnan Industrial Co., Ltd. Yunnan Kunming, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101552924","display_name":"W.-C. Lin","orcid":"https://orcid.org/0009-0003-3523-8406"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiang Lin","raw_affiliation_strings":["Technology center, China Tobacco Yunnan Industrial Co., Ltd. Yunnan Kunming, China"],"affiliations":[{"raw_affiliation_string":"Technology center, China Tobacco Yunnan Industrial Co., Ltd. Yunnan Kunming, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102932012","display_name":"Wenqi Li","orcid":"https://orcid.org/0009-0006-0466-1836"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqi Li","raw_affiliation_strings":["Technology center, China Tobacco Yunnan Industrial Co., Ltd. Yunnan Kunming, China"],"affiliations":[{"raw_affiliation_string":"Technology center, China Tobacco Yunnan Industrial Co., Ltd. Yunnan Kunming, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101887969","display_name":"Xiaohua Gao","orcid":"https://orcid.org/0009-0009-5349-2698"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohua Gao","raw_affiliation_strings":["Technology center, China Tobacco Yunnan Industrial Co., Ltd. Yunnan Kunming, China"],"affiliations":[{"raw_affiliation_string":"Technology center, China Tobacco Yunnan Industrial Co., Ltd. Yunnan Kunming, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102824261","display_name":"Bing Zhou","orcid":"https://orcid.org/0009-0006-2107-6372"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Zhou","raw_affiliation_strings":["Technology center, China Tobacco Yunnan Industrial Co., Ltd. Yunnan Kunming, China"],"affiliations":[{"raw_affiliation_string":"Technology center, China Tobacco Yunnan Industrial Co., Ltd. Yunnan Kunming, China","institution_ids":["https://openalex.org/I2800556661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090698450","display_name":"Jun Tang","orcid":"https://orcid.org/0009-0001-7369-4002"},"institutions":[{"id":"https://openalex.org/I2800556661","display_name":"China Tobacco","ror":"https://ror.org/030d08e08","country_code":"CN","type":"government","lineage":["https://openalex.org/I2800556661"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Tang","raw_affiliation_strings":["Technology center, China Tobacco Yunnan Industrial Co., Ltd. Yunnan Kunming, China"],"affiliations":[{"raw_affiliation_string":"Technology center, China Tobacco Yunnan Industrial Co., Ltd. Yunnan Kunming, China","institution_ids":["https://openalex.org/I2800556661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100741195"],"corresponding_institution_ids":["https://openalex.org/I2800556661"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06443112,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"120","last_page":"127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9814000129699707,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14470","display_name":"Advanced Data Processing Techniques","score":0.9327999949455261,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/computer-science","display_name":"Computer science","score":0.7876943349838257},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7777419686317444},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.7170681953430176},{"id":"https://openalex.org/keywords/superposition-principle","display_name":"Superposition principle","score":0.5901187062263489},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5706110596656799},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5572875142097473},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5234165191650391},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5030209422111511},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.495736688375473},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45050692558288574},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41485902667045593},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3200720250606537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0855441689491272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7876943349838257},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7777419686317444},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.7170681953430176},{"id":"https://openalex.org/C27753989","wikidata":"https://www.wikidata.org/wiki/Q284885","display_name":"Superposition principle","level":2,"score":0.5901187062263489},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5706110596656799},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5572875142097473},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5234165191650391},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5030209422111511},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.495736688375473},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45050692558288574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41485902667045593},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3200720250606537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0855441689491272},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589572.3589590","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3589572.3589590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Machine Vision and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2086072340","https://openalex.org/W2219695809","https://openalex.org/W3119816807","https://openalex.org/W3134221369","https://openalex.org/W3156867200","https://openalex.org/W3213274424","https://openalex.org/W4281264130"],"related_works":["https://openalex.org/W3093612317","https://openalex.org/W4287776258","https://openalex.org/W3027997911","https://openalex.org/W2175746458","https://openalex.org/W2732542196","https://openalex.org/W2767651786","https://openalex.org/W2760085659","https://openalex.org/W2883200793","https://openalex.org/W2738221750","https://openalex.org/W3012978760"],"abstract_inverted_index":{"In":[0],"the":[1,4,12,27,33,40,60,70,79,93,100,109,114,126],"view":[2],"of":[3,29,42],"existing":[5,22],"workshop":[6,101],"process":[7,13,74,83,102,121],"quality":[8,103,122],"prediction":[9,34,104,123,127],"method":[10],"for":[11],"parameters":[14,75],"related":[15],"timing":[16],"information":[17,58,72,81],"mining":[18],"is":[19,117],"not":[20,25],"sufficient,":[21],"research":[23],"does":[24],"consider":[26],"contribution":[28],"different":[30],"characteristics":[31],"to":[32,59,67,98],"target":[35],"difference,":[36],"this":[37],"paper":[38],"proposes":[39],"fusion":[41],"attention":[43,53],"mechanism,":[44],"convolutional":[45,50,63,87],"neural":[46,64,88],"network":[47,65,96,131],"and":[48,90,130],"time":[49,86],"network.":[51],"The":[52],"module":[54,66],"adaptively":[55],"allocates":[56],"weight":[57],"input":[61],"features,":[62],"deeply":[68],"mine":[69],"correlation":[71],"between":[73,82],"was":[76],"used,":[77],"extracts":[78],"temporal":[80],"sequences":[84],"with":[85],"learning,":[89],"finally":[91],"superposition":[92],"full":[94],"connection":[95],"mapping":[97],"obtain":[99],"value.":[105],"After":[106],"example":[107],"verification,":[108],"experimental":[110],"results":[111],"show":[112],"that":[113],"constructed":[115],"model":[116],"better":[118],"than":[119],"other":[120],"models":[124],"in":[125],"accuracy,":[128],"stability":[129],"structure.":[132]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
