{"id":"https://openalex.org/W4313334201","doi":"https://doi.org/10.1007/s42979-022-01511-4","title":"Effective Vehicle Detection Using Improved Faster Recursive Convolutional Neural Network Model","display_name":"Effective Vehicle Detection Using Improved Faster Recursive Convolutional Neural Network Model","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4313334201","doi":"https://doi.org/10.1007/s42979-022-01511-4"},"language":"en","primary_location":{"id":"doi:10.1007/s42979-022-01511-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s42979-022-01511-4","pdf_url":null,"source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","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/A5054112679","display_name":"G Mahendra","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"G. Mahendra","raw_affiliation_strings":["Department of Computer Science & Engineering, GSSS Institute of Engineering & Technology for Women, Affiliated to VTU, Belagavi, Karnataka, India"],"raw_orcid":"https://orcid.org/0000-0001-5810-5903","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, GSSS Institute of Engineering & Technology for Women, Affiliated to VTU, Belagavi, Karnataka, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044940505","display_name":"H. R. Roopashree","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. R. Roopashree","raw_affiliation_strings":["Department of Computer Science & Engineering, GSSS Institute of Engineering & Technology for Women, Affiliated to VTU, Belagavi, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, GSSS Institute of Engineering & Technology for Women, Affiliated to VTU, Belagavi, Karnataka, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054112679"],"corresponding_institution_ids":[],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":0.102,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42005554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"4","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9988999962806702,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9976999759674072,"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/computer-science","display_name":"Computer science","score":0.7689533233642578},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7432963252067566},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7339931130409241},{"id":"https://openalex.org/keywords/zoom","display_name":"Zoom","score":0.6544232368469238},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6307851076126099},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6218215227127075},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4746314287185669},{"id":"https://openalex.org/keywords/pedestrian-detection","display_name":"Pedestrian detection","score":0.4731501340866089},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4353296756744385},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4150317311286926},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4145009517669678},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40477049350738525},{"id":"https://openalex.org/keywords/pedestrian","display_name":"Pedestrian","score":0.2015623152256012},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1330573558807373}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7689533233642578},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7432963252067566},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7339931130409241},{"id":"https://openalex.org/C124913957","wikidata":"https://www.wikidata.org/wiki/Q1232548","display_name":"Zoom","level":3,"score":0.6544232368469238},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6307851076126099},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6218215227127075},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4746314287185669},{"id":"https://openalex.org/C2780156472","wikidata":"https://www.wikidata.org/wiki/Q2355550","display_name":"Pedestrian detection","level":3,"score":0.4731501340866089},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4353296756744385},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4150317311286926},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4145009517669678},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40477049350738525},{"id":"https://openalex.org/C2777113093","wikidata":"https://www.wikidata.org/wiki/Q221488","display_name":"Pedestrian","level":2,"score":0.2015623152256012},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1330573558807373},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s42979-022-01511-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s42979-022-01511-4","pdf_url":null,"source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2760327656","https://openalex.org/W2884104725","https://openalex.org/W2890520809","https://openalex.org/W2911466075","https://openalex.org/W2918228810","https://openalex.org/W2991329367","https://openalex.org/W3011321841","https://openalex.org/W3029267566","https://openalex.org/W3034681945","https://openalex.org/W3039137765","https://openalex.org/W3042732763","https://openalex.org/W3044308973","https://openalex.org/W3061777082","https://openalex.org/W3083017137","https://openalex.org/W3087443478","https://openalex.org/W3132500446","https://openalex.org/W3142696599","https://openalex.org/W3147926912","https://openalex.org/W6605613969"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2788595494","https://openalex.org/W2110523656","https://openalex.org/W2913302899","https://openalex.org/W3204901196"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}