{"id":"https://openalex.org/W3193906736","doi":"https://doi.org/10.1109/tai.2021.3105494","title":"New Artificial Intelligence Approach to Inclination Measurement Based on MEMS Accelerometer","display_name":"New Artificial Intelligence Approach to Inclination Measurement Based on MEMS Accelerometer","publication_year":2021,"publication_date":"2021-08-18","ids":{"openalex":"https://openalex.org/W3193906736","doi":"https://doi.org/10.1109/tai.2021.3105494","mag":"3193906736"},"language":"en","primary_location":{"id":"doi:10.1109/tai.2021.3105494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2021.3105494","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on 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/A5041117762","display_name":"Minh Long Hoang","orcid":"https://orcid.org/0000-0002-3622-4327"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Minh Long Hoang","raw_affiliation_strings":["University of Salerno, Fisciano, Italy"],"raw_orcid":"https://orcid.org/0000-0002-3622-4327","affiliations":[{"raw_affiliation_string":"University of Salerno, Fisciano, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071580146","display_name":"Antonio Pietrosanto","orcid":"https://orcid.org/0000-0001-5593-7325"},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Pietrosanto","raw_affiliation_strings":["University of Salerno, Fisciano, Italy"],"raw_orcid":"https://orcid.org/0000-0001-5593-7325","affiliations":[{"raw_affiliation_string":"University of Salerno, Fisciano, Italy","institution_ids":["https://openalex.org/I131729948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I131729948"],"apc_list":null,"apc_paid":null,"fwci":14.2987,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.98180926,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"3","issue":"1","first_page":"67","last_page":"77"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9940000176429749,"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"}},{"id":"https://openalex.org/T13885","display_name":"Geophysics and Sensor Technology","score":0.9653000235557556,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/accelerometer","display_name":"Accelerometer","score":0.8343304395675659},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6542972326278687},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6413400769233704},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6091309785842896},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5948696136474609},{"id":"https://openalex.org/keywords/inclinometer","display_name":"Inclinometer","score":0.5568366646766663},{"id":"https://openalex.org/keywords/microelectromechanical-systems","display_name":"Microelectromechanical systems","score":0.535349428653717},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.5139808058738708},{"id":"https://openalex.org/keywords/tilt","display_name":"Tilt (camera)","score":0.41016367077827454},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36424097418785095},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.33776944875717163},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17903169989585876},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.09561404585838318},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07653012871742249}],"concepts":[{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.8343304395675659},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6542972326278687},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6413400769233704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6091309785842896},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5948696136474609},{"id":"https://openalex.org/C158105764","wikidata":"https://www.wikidata.org/wiki/Q827664","display_name":"Inclinometer","level":2,"score":0.5568366646766663},{"id":"https://openalex.org/C37977207","wikidata":"https://www.wikidata.org/wiki/Q175561","display_name":"Microelectromechanical systems","level":2,"score":0.535349428653717},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.5139808058738708},{"id":"https://openalex.org/C2779844322","wikidata":"https://www.wikidata.org/wiki/Q2919140","display_name":"Tilt (camera)","level":2,"score":0.41016367077827454},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36424097418785095},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.33776944875717163},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17903169989585876},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.09561404585838318},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07653012871742249},{"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical 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/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tai.2021.3105494","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tai.2021.3105494","pdf_url":null,"source":{"id":"https://openalex.org/S4210169448","display_name":"IEEE Transactions on Artificial Intelligence","issn_l":"2691-4581","issn":["2691-4581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5400000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324133","display_name":"Universit\u00e0 degli Studi di Salerno","ror":"https://ror.org/0192m2k53"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1588407636","https://openalex.org/W2005995917","https://openalex.org/W2020884679","https://openalex.org/W2087861452","https://openalex.org/W2185119365","https://openalex.org/W2310874860","https://openalex.org/W2765512007","https://openalex.org/W2789868604","https://openalex.org/W2791168136","https://openalex.org/W2794075952","https://openalex.org/W2887149528","https://openalex.org/W2896627448","https://openalex.org/W2910423618","https://openalex.org/W2912769016","https://openalex.org/W2914106530","https://openalex.org/W2966409462","https://openalex.org/W2973146852","https://openalex.org/W2995509317","https://openalex.org/W2998431447","https://openalex.org/W3003233851","https://openalex.org/W3003764118","https://openalex.org/W3013410248","https://openalex.org/W3039157508","https://openalex.org/W3039704031","https://openalex.org/W3086906017","https://openalex.org/W3095106742","https://openalex.org/W3104065111","https://openalex.org/W3106746018","https://openalex.org/W3108017380","https://openalex.org/W3109448213","https://openalex.org/W3110590051","https://openalex.org/W3121884398","https://openalex.org/W3127571946","https://openalex.org/W3138731435","https://openalex.org/W3143534982","https://openalex.org/W4207053763","https://openalex.org/W4238574782","https://openalex.org/W6631190155","https://openalex.org/W6686445549"],"related_works":["https://openalex.org/W1600032772","https://openalex.org/W1973973903","https://openalex.org/W2992410632","https://openalex.org/W3161496874","https://openalex.org/W4231434995","https://openalex.org/W3040609525","https://openalex.org/W2587577200","https://openalex.org/W2026330382","https://openalex.org/W2915680872","https://openalex.org/W2025756212"],"abstract_inverted_index":{"The":[0,75,99,121,139,155,169,184],"article":[1,56],"presents":[2],"a":[3,10,40,47,118,131],"research":[4],"of":[5,27,53,97,107,113,133,180],"angular":[6,73],"orientation":[7],"based":[8,146],"on":[9,65,147],"microelectromechanical":[11],"system":[12],"(MEMS)":[13],"accelerometer":[14,128],"by":[15],"using":[16],"machine":[17],"learning":[18,22],"(ML)":[19],"and":[20,88,116,141,166,203],"deep":[21,28],"(DL)":[23],"model":[24,64,81,102,186,193],"with":[25,94,103,151,200],"architectures":[26],"neural":[29,208],"networks":[30],"(DNNs).":[31],"In":[32],"the":[33,66,72,79,84,148,161,181,191,207],"industrial":[34],"environment,":[35],"artificial":[36],"intelligence":[37],"(AI)":[38],"plays":[39],"crucial":[41],"role":[42],"in":[43,217],"automation":[44],"which":[45],"is":[46,172],"potential":[48],"solution":[49],"for":[50,164,174],"better":[51,188],"performance":[52],"inclinometer.":[54],"This":[55],"was":[57,158],"carried":[58],"out":[59],"to":[60,70,195],"apply":[61],"this":[62],"intelligent":[63],"inertial":[67],"measurement":[68],"unit":[69],"accomplish":[71],"position.":[74],"experiment":[76],"shows":[77,213],"that":[78],"ML":[80,140,192,212],"correctly":[82],"learns":[83],"relationship":[85],"between":[86],"acceleration":[87,122],"tracking":[89],"angles":[90],"via":[91,136],"polynomial":[92],"regression":[93],"an":[95,111],"<i>R</i>-square":[96],"0.98.":[98],"employed":[100],"DL":[101,185],"four":[104],"hidden":[105],"layers":[106],"ten":[108],"neurons":[109],"achieves":[110],"accuracy":[112],"99.99":[114],"&#x0025;":[115],"almost":[117],"nonerror":[119],"performance.":[120],"acquisitions":[123],"were":[124,144],"obtained":[125],"from":[126,206],"MEMS":[127],"LSM9DS1":[129],"at":[130],"frequency":[132],"50":[134],"Hz":[135],"microcontroller":[137],"STM32F401RE.":[138],"DNN":[142],"models":[143],"designed":[145],"platform":[149],"Tensorflow":[150],"high":[152,197],"processing":[153],"accuracy.":[154],"Pan-Tilt":[156],"Unit":[157],"used":[159,173],"as":[160,176,178],"angle":[162],"reference":[163],"static":[165],"dynamic":[167,218],"tests.":[168],"traditional":[170],"technique":[171],"comparison":[175],"well":[177],"verification":[179],"proposed":[182],"models.":[183],"has":[187],"precision":[189],"over":[190],"due":[194],"its":[196],"structure":[198],"level":[199],"updating":[201],"weight":[202],"error":[204],"optimization":[205],"network":[209],"structure.":[210],"Meanwhile,":[211],"more":[214],"stable":[215],"results":[216],"circumstances.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}