{"id":"https://openalex.org/W2942725282","doi":"https://doi.org/10.1109/iscas.2019.8702575","title":"Multi-View Fusion Neural Network with Application in the Manufacturing Industry","display_name":"Multi-View Fusion Neural Network with Application in the Manufacturing Industry","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2942725282","doi":"https://doi.org/10.1109/iscas.2019.8702575","mag":"2942725282"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2019.8702575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2019.8702575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5046803424","display_name":"Stephan Tilgner","orcid":null},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Stephan Tilgner","raw_affiliation_strings":["School of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany","institution_ids":["https://openalex.org/I167360494"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101519023","display_name":"Daniel W\u00e4gner","orcid":"https://orcid.org/0009-0007-8666-9539"},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel Wagner","raw_affiliation_strings":["School of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany","institution_ids":["https://openalex.org/I167360494"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078617179","display_name":"Kathrin Kalischewski","orcid":null},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kathrin Kalischewski","raw_affiliation_strings":["School of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany","institution_ids":["https://openalex.org/I167360494"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033355410","display_name":"J\u00f6rg Velten","orcid":"https://orcid.org/0000-0002-4228-3198"},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jorg Velten","raw_affiliation_strings":["School of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany","institution_ids":["https://openalex.org/I167360494"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080666933","display_name":"Anton Kummert","orcid":"https://orcid.org/0000-0002-0282-5087"},"institutions":[{"id":"https://openalex.org/I167360494","display_name":"University of Wuppertal","ror":"https://ror.org/00613ak93","country_code":"DE","type":"education","lineage":["https://openalex.org/I167360494"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Anton Kummert","raw_affiliation_strings":["School of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Information and Media Engineering, University of Wuppertal, Wuppertal, Germany","institution_ids":["https://openalex.org/I167360494"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I167360494"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7781862616539001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6415894627571106},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6383340954780579},{"id":"https://openalex.org/keywords/manufacturing","display_name":"Manufacturing","score":0.6127209067344666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6050973534584045},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.548332929611206},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5129460692405701},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.503328263759613},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4898204505443573},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.46707800030708313},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4202963411808014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06652921438217163}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7781862616539001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6415894627571106},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6383340954780579},{"id":"https://openalex.org/C175700187","wikidata":"https://www.wikidata.org/wiki/Q187939","display_name":"Manufacturing","level":2,"score":0.6127209067344666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6050973534584045},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.548332929611206},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5129460692405701},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.503328263759613},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4898204505443573},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.46707800030708313},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4202963411808014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06652921438217163},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2019.8702575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2019.8702575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W297461772","https://openalex.org/W1522301498","https://openalex.org/W1883346539","https://openalex.org/W1991742456","https://openalex.org/W2322371438","https://openalex.org/W2428757121","https://openalex.org/W2587989515","https://openalex.org/W2964121744","https://openalex.org/W6631190155","https://openalex.org/W6639103823"],"related_works":["https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039","https://openalex.org/W3088112989","https://openalex.org/W2392793229","https://openalex.org/W2355579697","https://openalex.org/W4360871138","https://openalex.org/W3208972923"],"abstract_inverted_index":{"In":[0],"recent":[1],"years":[2],"the":[3,13,45,58,63,72,86],"research":[4],"community":[5],"and":[6,55],"industry":[7],"have":[8],"paid":[9],"high":[10],"attention":[11],"to":[12,61,83],"field":[14],"of":[15,50,65,81],"machine":[16],"learning,":[17],"especially":[18],"deep":[19],"learning.":[20],"Nowadays":[21],"many":[22],"real-world":[23],"classification":[24,74],"or":[25],"rather":[26],"prediction":[27],"applications":[28],"are":[29],"implemented":[30],"by":[31,57,85],"neural":[32,40],"network":[33,41],"models.":[34],"We":[35],"propose":[36],"a":[37,66,79],"multi-view":[38],"fusion":[39,87],"with":[42],"application":[43],"in":[44],"manufacturing":[46,67],"industry.":[47],"Image":[48],"information":[49],"multiple":[51],"cameras":[52],"is":[53,76],"fused":[54],"used":[56],"proposed":[59],"model":[60],"predict":[62],"state":[64],"machine.":[68],"Experiments":[69],"show":[70],"that":[71],"overall":[73],"performance":[75],"increased":[77],"from":[78],"baseline":[80],"92.7%":[82],"99.5%":[84],"model.":[88]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
