{"id":"https://openalex.org/W2612417205","doi":"https://doi.org/10.1109/icmech.2017.7921140","title":"Novel tire inflating system using extreme learning machine algorithm for efficient tire identification","display_name":"Novel tire inflating system using extreme learning machine algorithm for efficient tire identification","publication_year":2017,"publication_date":"2017-02-01","ids":{"openalex":"https://openalex.org/W2612417205","doi":"https://doi.org/10.1109/icmech.2017.7921140","mag":"2612417205"},"language":"en","primary_location":{"id":"doi:10.1109/icmech.2017.7921140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmech.2017.7921140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Mechatronics (ICM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Novel_tire_inflating_system_using_extreme_learning_machine_algorithm_for_efficient_tire_identification/13397822","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078742345","display_name":"Tanveer Choudhury","orcid":"https://orcid.org/0000-0002-9244-2708"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"T. A. Choudhury","raw_affiliation_strings":["School of Engineering and Information Technology, Federation University Australia, Gippsland, Victoria, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, Federation University Australia, Gippsland, Victoria, Australia","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038632124","display_name":"Gayan Kahandawa","orcid":"https://orcid.org/0000-0003-4926-1239"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gayan Kahandawa","raw_affiliation_strings":["School of Engineering and Information Technology, Federation University Australia, Gippsland, Victoria, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, Federation University Australia, Gippsland, Victoria, Australia","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091316717","display_name":"M. Yousef Ibrahim","orcid":"https://orcid.org/0000-0002-9859-6505"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"M. Yousef Ibrahim","raw_affiliation_strings":["School of Engineering and Information Technology, Federation University Australia, Gippsland, Victoria, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, Federation University Australia, Gippsland, Victoria, Australia","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003395251","display_name":"Pavel Dzitac","orcid":null},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Pavel Dzitac","raw_affiliation_strings":["School of Engineering, Deakin University, Geelong, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Deakin University, Geelong, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015373908","display_name":"Abdul Md Mazid","orcid":"https://orcid.org/0000-0003-0854-7652"},"institutions":[{"id":"https://openalex.org/I149672521","display_name":"Federation University","ror":"https://ror.org/05qbzwv83","country_code":"AU","type":"education","lineage":["https://openalex.org/I149672521"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Abdul Md Mazid","raw_affiliation_strings":["School of Engineering and Information Technology, Federation University Australia, Gippsland, Victoria, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Information Technology, Federation University Australia, Gippsland, Victoria, Australia","institution_ids":["https://openalex.org/I149672521"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036553343","display_name":"Zhihong Man","orcid":"https://orcid.org/0000-0002-8338-2125"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Z. Man","raw_affiliation_strings":["School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, Australia","institution_ids":["https://openalex.org/I57093077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.04428246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"404","last_page":"409"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T12676","display_name":"Machine Learning and ELM","score":1.0,"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/T10320","display_name":"Neural Networks and Applications","score":0.9821000099182129,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9666000008583069,"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/extreme-learning-machine","display_name":"Extreme learning machine","score":0.753944456577301},{"id":"https://openalex.org/keywords/controllability","display_name":"Controllability","score":0.6649103164672852},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6315357089042664},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5750169157981873},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5588786602020264},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5424635410308838},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5085431337356567},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44488245248794556},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4203416705131531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.386912077665329},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1574619710445404},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.11963501572608948}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.753944456577301},{"id":"https://openalex.org/C48209547","wikidata":"https://www.wikidata.org/wiki/Q1331104","display_name":"Controllability","level":2,"score":0.6649103164672852},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6315357089042664},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5750169157981873},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5588786602020264},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5424635410308838},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5085431337356567},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44488245248794556},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4203416705131531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.386912077665329},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1574619710445404},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.11963501572608948},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icmech.2017.7921140","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmech.2017.7921140","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Mechatronics (ICM)","raw_type":"proceedings-article"},{"id":"pmh:oai:acquire.cqu.edu.au:cqu:19457","is_oa":false,"landing_page_url":"http://hdl.cqu.edu.au/10018/1320483","pdf_url":null,"source":{"id":"https://openalex.org/S4306400635","display_name":"Acquire (CQUniversity)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I74899385","host_organization_name":"Central Queensland University","host_organization_lineage":["https://openalex.org/I74899385"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Choudhury, TA, Kahandawa, G, Ibrahim, MY, Dzitac, P, Mazid, AM, Man, Z, (2017). Novel tire inflating system using extreme learning machine algorithm for efficient tire identification. 13-15 February 2017, IEEE International Conference on Mechatronics (ICM 2017), Churchill, Australia, IEEE, Piscataway, NJ, p. 404-409, http://dx.doi.org/10.1109/ICMECH.2017.7921140","raw_type":"conference"},{"id":"pmh:vital:11627","is_oa":false,"landing_page_url":"http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/157584","pdf_url":null,"source":{"id":"https://openalex.org/S4306400234","display_name":"FedUni ResearchOnline (Federation University Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210158496","host_organization_name":"Australian Federation of University Women \u2013 South Australia","host_organization_lineage":["https://openalex.org/I4210158496"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference proceedings"},{"id":"pmh:oai:figshare.com:article/13397822","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Novel_tire_inflating_system_using_extreme_learning_machine_algorithm_for_efficient_tire_identification/13397822","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference contribution"},{"id":"pmh:oai:researchbank.swinburne.edu.au:8b231463-dc81-492d-80d2-427a01974b21/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/437326","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE International Conference on Mechatronics (ICM 2017), Churchill, Australia, 13-15 February, 2017, pp. 404-409","raw_type":null}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/13397822","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Novel_tire_inflating_system_using_extreme_learning_machine_algorithm_for_efficient_tire_identification/13397822","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference contribution"},"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324008","display_name":"Federation University Australia","ror":"https://ror.org/05qbzwv83"},{"id":"https://openalex.org/F4320325474","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W13094485","https://openalex.org/W323906609","https://openalex.org/W1539375924","https://openalex.org/W2002011878","https://openalex.org/W2018171588","https://openalex.org/W2069743679","https://openalex.org/W2072970286","https://openalex.org/W2087070363","https://openalex.org/W2090777659","https://openalex.org/W2099579348","https://openalex.org/W2111072639","https://openalex.org/W2117953457","https://openalex.org/W2122638298","https://openalex.org/W2123076888","https://openalex.org/W2131024971","https://openalex.org/W2134603844","https://openalex.org/W2151919773","https://openalex.org/W2155056872","https://openalex.org/W2155482699","https://openalex.org/W2155530592","https://openalex.org/W2166430060","https://openalex.org/W3140297398","https://openalex.org/W6611202180","https://openalex.org/W6684735023"],"related_works":["https://openalex.org/W2036697162","https://openalex.org/W2411113819","https://openalex.org/W2072887367","https://openalex.org/W2332386680","https://openalex.org/W2561315646","https://openalex.org/W2894173309","https://openalex.org/W4387932263","https://openalex.org/W2098962763","https://openalex.org/W2371065793","https://openalex.org/W2157746493"],"abstract_inverted_index":{"Tire":[0],"inflators":[1],"are":[2,125,155],"widely":[3],"used":[4,50,118,186],"all":[5,148],"around":[6],"the":[7,10,22,30,33,58,69,74,79,92,152,156,174,182,192,217,230,237,244],"word":[8],"and":[9,12,56,89,98,107,144,177,179,211,233],"efficient":[11],"accurate":[13],"operation":[14],"is":[15,29,65,77,101,185,195],"essential.":[16],"The":[17,62,109,225],"main":[18],"difficulty":[19],"in":[20,51,187,219,249],"improving":[21],"inflation":[23,71,80,93],"cycle":[24],"of":[25,32,91,112,132,138,147,221,229,236],"a":[26],"tire":[27,34,60,63,70,75,97,99,122,250],"inflator":[28],"identification":[31,123,251],"connected":[35],"for":[36,130,160],"inflation.":[37],"A":[38],"robust":[39],"single":[40],"hidden":[41,222],"layer":[42,223],"feed":[43],"forward":[44],"neural":[45],"network":[46,149],"(SLFN)":[47],"is,":[48],"thus,":[49],"this":[52,188],"study":[53],"to":[54,68,85,103,119,190,216],"model":[55,120],"predict":[57],"correct":[59],"size.":[61],"size":[64,76],"directly":[66],"related":[67],"cycle.":[72],"Once":[73],"identified,":[78],"process":[81,154],"can":[82],"be":[83],"optimized":[84],"improve":[86],"performance,":[87,206],"speed":[88],"accuracy":[90],"system.":[94,136],"Properly":[95],"inflated":[96],"condition":[100],"critical":[102],"vehicle":[104],"safety,":[105],"stability":[106],"controllability.":[108],"training":[110,209,242],"times":[111,210],"traditional":[113],"back":[114],"propagation":[115],"algorithms,":[116],"mostly":[117],"such":[121,161],"processes,":[124],"far":[126],"slower":[127,162],"than":[128],"desired":[129],"implementation":[131],"an":[133],"on-line":[134],"control":[135],"Use":[137],"slow":[139],"gradient":[140],"based":[141],"learning":[142,153,163,167],"methods":[143],"iterative":[145],"tuning":[146],"parameters":[150],"during":[151],"two":[157],"major":[158],"causes":[159],"speed.":[164],"An":[165],"extreme":[166],"machine":[168],"(ELM)":[169],"algorithm,":[170],"which":[171],"randomly":[172],"selects":[173],"input":[175],"weights":[176],"biases":[178],"analytically":[180],"determines":[181],"output":[183],"weights,":[184],"work":[189],"train":[191],"SLFNs.":[193],"It":[194],"found":[196],"that":[197],"networks":[198,232],"trained":[199,231],"with":[200,214,240],"ELM":[201],"have":[202],"relatively":[203],"good":[204],"generalization":[205],"much":[207],"shorter":[208],"stable":[212],"performance":[213],"regard":[215],"changes":[218],"number":[220],"neurons.":[224],"result":[226],"represents":[227],"robustness":[228],"enhance":[234],"reliability":[235],"mode.":[238],"Together":[239],"short":[241],"time,":[243],"algorithm":[245],"has":[246],"valuable":[247],"application":[248],"process.":[252]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}