{"id":"https://openalex.org/W2996072126","doi":"https://doi.org/10.1145/3371425.3371430","title":"Mixed convolutional recurrent neural networks","display_name":"Mixed convolutional recurrent neural networks","publication_year":2019,"publication_date":"2019-12-10","ids":{"openalex":"https://openalex.org/W2996072126","doi":"https://doi.org/10.1145/3371425.3371430","mag":"2996072126"},"language":"en","primary_location":{"id":"doi:10.1145/3371425.3371430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3371425.3371430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100394126","display_name":"Wentao Wang","orcid":"https://orcid.org/0000-0001-9919-7488"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wentao Wang","raw_affiliation_strings":["National Key Laboratory on Blind Signal Processing, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory on Blind Signal Processing, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085430495","display_name":"Canhui Liao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Canhui Liao","raw_affiliation_strings":["National Key Laboratory on Blind Signal Processing, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory on Blind Signal Processing, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Quan Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quan Cheng","raw_affiliation_strings":["National Key Laboratory on Blind Signal Processing, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory on Blind Signal Processing, Chengdu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100604928","display_name":"Pengju Wang","orcid":"https://orcid.org/0000-0001-5196-1475"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pengju Wang","raw_affiliation_strings":["National Key Laboratory on Blind Signal Processing, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Key Laboratory on Blind Signal Processing, Chengdu, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9995999932289124,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9979000091552734,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.8242915868759155},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7938997745513916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7852638959884644},{"id":"https://openalex.org/keywords/time-delay-neural-network","display_name":"Time delay neural network","score":0.6224591135978699},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.562570333480835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5461271405220032},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37354570627212524},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32180875539779663}],"concepts":[{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.8242915868759155},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7938997745513916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7852638959884644},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.6224591135978699},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.562570333480835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5461271405220032},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37354570627212524},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32180875539779663}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3371425.3371430","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3371425.3371430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2163605009","https://openalex.org/W2183341477","https://openalex.org/W2193413348","https://openalex.org/W2194775991","https://openalex.org/W2292896937","https://openalex.org/W2747664154","https://openalex.org/W2914584698","https://openalex.org/W2950179405","https://openalex.org/W2962835968","https://openalex.org/W2964335273","https://openalex.org/W4233104424"],"related_works":["https://openalex.org/W1584270863","https://openalex.org/W2109916967","https://openalex.org/W2603525251","https://openalex.org/W2085961337","https://openalex.org/W3113777316","https://openalex.org/W2386241395","https://openalex.org/W4246541945","https://openalex.org/W2890297197","https://openalex.org/W2357447513","https://openalex.org/W2107201395"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"design":[4],"a":[5],"neural":[6],"network":[7,31],"named":[8],"MCRNN":[9],"for":[10],"classifying":[11],"signals":[12,36],"with":[13,37],"slight":[14],"distinction.":[15],"This":[16],"model":[17],"combines":[18],"advantages":[19],"of":[20],"both":[21],"Convolutional":[22],"Neural":[23,27],"Network":[24],"and":[25],"Recurrent":[26],"Network,":[28],"allowing":[29],"the":[30],"to":[32],"distinguish":[33],"between":[34],"long":[35,38],"time-frequency":[39],"maps.":[40]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}