{"id":"https://openalex.org/W2972918373","doi":"https://doi.org/10.1109/i2mtc.2019.8827051","title":"Convolutional neural networks for robust angular measurement with xMR sensor arrays","display_name":"Convolutional neural networks for robust angular measurement with xMR sensor arrays","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2972918373","doi":"https://doi.org/10.1109/i2mtc.2019.8827051","mag":"2972918373"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2019.8827051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2019.8827051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5019845106","display_name":"Phil Meier","orcid":null},"institutions":[{"id":"https://openalex.org/I2799859273","display_name":"Ostfalia University of Applied Sciences","ror":"https://ror.org/01bk10867","country_code":"DE","type":"education","lineage":["https://openalex.org/I2799859273"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Phil Meier","raw_affiliation_strings":["Ostfalia University of Applied Sciences Faculty of Electrical Engineering Wolfenbuettel, Germany"],"affiliations":[{"raw_affiliation_string":"Ostfalia University of Applied Sciences Faculty of Electrical Engineering Wolfenbuettel, Germany","institution_ids":["https://openalex.org/I2799859273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046253584","display_name":"Kris Rohrmann","orcid":"https://orcid.org/0000-0001-6414-153X"},"institutions":[{"id":"https://openalex.org/I2799859273","display_name":"Ostfalia University of Applied Sciences","ror":"https://ror.org/01bk10867","country_code":"DE","type":"education","lineage":["https://openalex.org/I2799859273"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kris Rohrmann","raw_affiliation_strings":["Ostfalia University of Applied Sciences Faculty of Electrical Engineering Wolfenbuettel, Germany"],"affiliations":[{"raw_affiliation_string":"Ostfalia University of Applied Sciences Faculty of Electrical Engineering Wolfenbuettel, Germany","institution_ids":["https://openalex.org/I2799859273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064490837","display_name":"Marvin Sandner","orcid":"https://orcid.org/0009-0009-8184-6297"},"institutions":[{"id":"https://openalex.org/I2799859273","display_name":"Ostfalia University of Applied Sciences","ror":"https://ror.org/01bk10867","country_code":"DE","type":"education","lineage":["https://openalex.org/I2799859273"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marvin Sandner","raw_affiliation_strings":["Ostfalia University of Applied Sciences Faculty of Electrical Engineering Wolfenbuettel, Germany"],"affiliations":[{"raw_affiliation_string":"Ostfalia University of Applied Sciences Faculty of Electrical Engineering Wolfenbuettel, Germany","institution_ids":["https://openalex.org/I2799859273"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067207595","display_name":"M. Stre\u00edtenberger","orcid":null},"institutions":[{"id":"https://openalex.org/I140025399","display_name":"Hochschule Hannover","ror":"https://ror.org/03m2kj587","country_code":"DE","type":"education","lineage":["https://openalex.org/I140025399"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Streitenberger","raw_affiliation_strings":["University of Applied Sciences and Arts Faculty of Electrical Engineering Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"University of Applied Sciences and Arts Faculty of Electrical Engineering Hannover, Germany","institution_ids":["https://openalex.org/I140025399"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066723108","display_name":"Marcus Prochaska","orcid":"https://orcid.org/0000-0002-1615-6080"},"institutions":[{"id":"https://openalex.org/I140025399","display_name":"Hochschule Hannover","ror":"https://ror.org/03m2kj587","country_code":"DE","type":"education","lineage":["https://openalex.org/I140025399"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marcus Prochaska","raw_affiliation_strings":["University of Applied Sciences and Arts Faculty of Electrical Engineering Hannover, Germany"],"affiliations":[{"raw_affiliation_string":"University of Applied Sciences and Arts Faculty of Electrical Engineering Hannover, Germany","institution_ids":["https://openalex.org/I140025399"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019845106"],"corresponding_institution_ids":["https://openalex.org/I2799859273"],"apc_list":null,"apc_paid":null,"fwci":0.5305,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69250871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13928","display_name":"Advanced Sensor Technologies Research","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T14163","display_name":"Astronomical Observations and Instrumentation","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/robustness","display_name":"Robustness (evolution)","score":0.7957572937011719},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7066627144813538},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.5915050506591797},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5652260780334473},{"id":"https://openalex.org/keywords/magnetoresistance","display_name":"Magnetoresistance","score":0.5365045070648193},{"id":"https://openalex.org/keywords/angular-displacement","display_name":"Angular displacement","score":0.47032058238983154},{"id":"https://openalex.org/keywords/magnetic-field","display_name":"Magnetic field","score":0.4518437385559082},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44831541180610657},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4464855194091797},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.38801252841949463},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.3531270921230316},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.2872401773929596},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.27049997448921204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23609301447868347},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23551404476165771},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.0964667797088623}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7957572937011719},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7066627144813538},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5915050506591797},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5652260780334473},{"id":"https://openalex.org/C117958382","wikidata":"https://www.wikidata.org/wiki/Q58347","display_name":"Magnetoresistance","level":3,"score":0.5365045070648193},{"id":"https://openalex.org/C108439606","wikidata":"https://www.wikidata.org/wiki/Q3305038","display_name":"Angular displacement","level":2,"score":0.47032058238983154},{"id":"https://openalex.org/C115260700","wikidata":"https://www.wikidata.org/wiki/Q11408","display_name":"Magnetic field","level":2,"score":0.4518437385559082},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44831541180610657},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4464855194091797},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.38801252841949463},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.3531270921230316},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.2872401773929596},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.27049997448921204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23609301447868347},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23551404476165771},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0964667797088623},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2019.8827051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2019.8827051","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"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":27,"referenced_works":["https://openalex.org/W308556676","https://openalex.org/W405321894","https://openalex.org/W592126670","https://openalex.org/W1530757145","https://openalex.org/W2012894726","https://openalex.org/W2031895748","https://openalex.org/W2051812123","https://openalex.org/W2059148040","https://openalex.org/W2087070363","https://openalex.org/W2107093743","https://openalex.org/W2141010655","https://openalex.org/W2145762340","https://openalex.org/W2147317094","https://openalex.org/W2156210187","https://openalex.org/W2256578114","https://openalex.org/W2485538188","https://openalex.org/W2505424950","https://openalex.org/W2734337341","https://openalex.org/W2840741618","https://openalex.org/W2844082289","https://openalex.org/W2907138342","https://openalex.org/W2911546748","https://openalex.org/W2914308321","https://openalex.org/W2915030997","https://openalex.org/W2994602346","https://openalex.org/W4229727159","https://openalex.org/W6613974495"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W3193331098","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W992924612","https://openalex.org/W2344947612","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088"],"abstract_inverted_index":{"The":[0],"contactless":[1],"and":[2,9,24,63],"wear-free":[3],"measurement":[4,22],"of":[5,12,34,59,108],"angles,":[6],"rotational":[7],"speeds":[8],"currents":[10],"is":[11,112],"prime":[13],"importance":[14],"for":[15,73,120],"many":[16,87],"industrial":[17],"applications":[18,57],"with":[19,114],"several":[20],"different":[21],"setups":[23],"concepts":[25,68,83],"in":[26,53,86,102],"use.":[27],"In":[28],"the":[29,32,81,95,105],"automotive":[30],"area":[31],"deployment":[33],"magnetic":[35],"field":[36,118],"sensors":[37,48],"based":[38],"on":[39],"Hall":[40],"or":[41],"magnetoresistive(MR)":[42],"effects":[43],"increases":[44],"steadily.":[45],"Especially":[46],"MR-based":[47],"play":[49],"a":[50],"dominant":[51],"role":[52],"angular":[54,122],"position":[55,123],"sensing":[56],"because":[58],"their":[60],"high":[61],"accuracy":[62],"robustness.":[64],"Nevertheless,":[65],"upcoming":[66],"vehicle":[67],"lead":[69],"to":[70,97,116],"increasing":[71],"requirements":[72],"such":[74],"sensors,":[75],"which":[76],"cannot":[77],"be":[78],"fulfilled":[79],"by":[80],"applied":[82],"completely.":[84],"However,":[85],"application":[88],"fields":[89],"artificial":[90],"neural":[91,109],"networks":[92],"have":[93],"proven":[94],"capability":[96],"enhance":[98],"existing":[99],"solutions.":[100],"Therefore,":[101],"this":[103],"paper":[104],"potential":[106],"use":[107],"network":[110],"computing":[111],"examined":[113],"regard":[115],"stray":[117],"immunity":[119],"xMR":[121],"sensors.":[124]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
