{"id":"https://openalex.org/W4399198973","doi":"https://doi.org/10.1016/j.procs.2024.04.132","title":"Designing of VehiNet Using Convolutional Neural Networks and Deep Learning Techniques","display_name":"Designing of VehiNet Using Convolutional Neural Networks and Deep Learning Techniques","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399198973","doi":"https://doi.org/10.1016/j.procs.2024.04.132"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2024.04.132","doi":"https://doi.org/10.1016/j.procs.2024.04.132","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2024.04.132","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2024.04.132","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5098954818","display_name":"Mahita Kandala","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mahita Kandala","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetam, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Kaushik M","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kaushik M","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetam, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114170739","display_name":"Vaishakh Nambiar","orcid":"https://orcid.org/0009-0008-9277-2097","observed_orcids":["https://orcid.org/0009-0008-9277-2097"]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vaishakh Nambiar","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetam, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005995291","display_name":"Vignesh G S","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vignesh G S","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetam, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084596938","display_name":"C. Jyotsna","orcid":"https://orcid.org/0000-0001-6256-9372","observed_orcids":["https://orcid.org/0000-0001-6256-9372"]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jyotsna C.","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetam, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022739741","display_name":"Tripty Singh","orcid":"https://orcid.org/0000-0002-3688-4392","observed_orcids":["https://orcid.org/0000-0002-3688-4392"]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tripty Singh","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita School of Computing, Bengaluru, Amrita Vishwa Vidyapeetam, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054990685","display_name":"Prakash Duraisamy","orcid":"https://orcid.org/0000-0001-6446-3766","observed_orcids":["https://orcid.org/0000-0001-6446-3766"]},"institutions":[{"id":"https://openalex.org/I129510320","display_name":"University of Wisconsin\u2013Green Bay","ror":"https://ror.org/05hbexn54","country_code":"US","type":"education","lineage":["https://openalex.org/I129510320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Prakash Duraisamy","raw_affiliation_strings":["University of Wisconsin, Green Bay Wisconsin, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin, Green Bay Wisconsin, USA","institution_ids":["https://openalex.org/I129510320"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4498,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87049529,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"235","issue":null,"first_page":"1409","last_page":"1418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9980000257492065,"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":0.9980000257492065,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.0012000000569969416,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/vehicle-detection","display_name":"vehicle detection","score":0.9779999852180481},{"id":"https://openalex.org/keywords/traffic-congestion","display_name":"traffic congestion","score":0.6840000152587891},{"id":"https://openalex.org/keywords/object-detection","display_name":"object detection","score":0.6159999966621399},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.8769999742507935},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.9990000128746033},{"id":"https://openalex.org/keywords/bengaluru","display_name":"Bangalore","score":0.5019999742507935},{"id":"https://openalex.org/keywords/traffic-management","display_name":"traffic management","score":0.3619999885559082}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9416991472244263},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.770379900932312},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.647658109664917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6178337931632996},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4555351734161377}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2024.04.132","doi":"https://doi.org/10.1016/j.procs.2024.04.132","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2024.04.132","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2024.04.132","doi":"https://doi.org/10.1016/j.procs.2024.04.132","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2024.04.132","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.8970999717712402},{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.875}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2139237195","https://openalex.org/W2730471497","https://openalex.org/W2750936674","https://openalex.org/W2772815935","https://openalex.org/W2807536558","https://openalex.org/W2902854891","https://openalex.org/W3000459108","https://openalex.org/W3011667789","https://openalex.org/W3018661145","https://openalex.org/W3033731742","https://openalex.org/W3092198080","https://openalex.org/W3109228396","https://openalex.org/W3157183890","https://openalex.org/W3187407507","https://openalex.org/W4211228078","https://openalex.org/W4224943956","https://openalex.org/W4231689474","https://openalex.org/W4249765923","https://openalex.org/W4250530459","https://openalex.org/W4254530907","https://openalex.org/W4255855619","https://openalex.org/W4283732606","https://openalex.org/W4285168647","https://openalex.org/W4285503573","https://openalex.org/W4285506154","https://openalex.org/W4298279321","https://openalex.org/W4312090321","https://openalex.org/W4312255945","https://openalex.org/W4312831913","https://openalex.org/W4312980657","https://openalex.org/W4313855663","https://openalex.org/W4317564608","https://openalex.org/W4376607347"],"related_works":["https://openalex.org/W4312836162","https://openalex.org/W6948582112","https://openalex.org/W4212915101","https://openalex.org/W7138874396","https://openalex.org/W4387475445","https://openalex.org/W4400197942","https://openalex.org/W3212605685","https://openalex.org/W4407706688","https://openalex.org/W4313037522","https://openalex.org/W4400663183"],"abstract_inverted_index":{"Traffic":[0],"congestion":[1],"has":[2],"become":[3],"a":[4,16,72,77,134],"critical":[5],"issue":[6],"in":[7,54,110,120],"metropolitan":[8],"areas,":[9],"inflicting":[10],"significant":[11],"hardships":[12],"on":[13,15],"individuals":[14],"daily":[17],"basis.":[18],"This":[19,68,188],"adverse":[20],"situation":[21],"poses":[22],"multifaceted":[23],"challenges,":[24],"including":[25],"increased":[26],"air":[27],"pollution,":[28],"heightened":[29],"fuel":[30],"consumption,":[31],"and":[32,45,65,104,108,148,161,170,175,183,194,205],"compromised":[33],"road":[34],"safety.":[35],"Deep":[36,163],"learning":[37,106,181],"algorithms,":[38],"encompassing":[39],"both":[40],"Convolutional":[41],"Neural":[42,47],"Networks":[43,48],"(CNN),":[44],"Recurrent":[46],"(RNN)":[49],"have":[50],"showcased":[51],"remarkable":[52],"performance":[53],"areas":[55],"such":[56],"as":[57],"computer":[58],"vision,":[59],"natural":[60],"language":[61],"processing,":[62],"healthcare,":[63],"finance,":[64],"autonomous":[66],"systems.":[67],"research":[69,189],"paper":[70],"proposes":[71],"novel":[73],"methodology":[74],"to":[75,88,122,138,157,200],"develop":[76],"vehicle":[78],"detection":[79,169],"model":[80],"-":[81],"VehiNet,":[82],"which":[83],"can":[84],"subsequently":[85],"be":[86],"refined":[87],"create":[89],"an":[90],"automated":[91],"traffic":[92],"signal":[93],"system.":[94],"The":[95,114,153],"study":[96,119],"explores":[97],"the":[98,118,201,206,210],"effectiveness":[99],"of":[100,136,172,209],"various":[101,144],"CNN,":[102,159],"RNN,":[103,160],"deep":[105,180],"algorithms":[107,182],"techniques":[109,166,184],"accomplishing":[111],"this":[112],"objective.":[113],"dataset":[115,204],"picked":[116],"for":[117,167],"addition":[121],"being":[123],"compiled":[124],"from":[125,143,192],"internet":[126],"resources,":[127],"was":[128],"also":[129],"painstakingly":[130],"assembled":[131],"manually":[132],"using":[133],"variety":[135],"methods":[137],"collect":[139],"over":[140],"2000":[141],"photographs":[142],"angles,":[145],"lighting":[146],"conditions,":[147],"locations":[149],"within":[150],"Bengaluru":[151],"city.":[152],"main":[154],"motive":[155],"is":[156],"apply":[158],"other":[162],"Learning":[164],"classification":[165,171],"object":[168],"Indian":[173],"vehicles":[174],"see":[176],"how":[177],"well":[178],"these":[179],"affect":[185],"prediction":[186],"efficiency.":[187],"stands":[190],"out":[191],"others":[193],"makes":[195],"its":[196],"novelty":[197],"clear":[198],"thanks":[199],"carefully":[202],"collected":[203],"detailed":[207],"analysis":[208],"methodologies.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2024-06-01T00:00:00"}
