{"id":"https://openalex.org/W4407982285","doi":"https://doi.org/10.32604/cmc.2025.061379","title":"AI-Based Tire Pressure Detection Using an Enhanced Deep Learning Architecture","display_name":"AI-Based Tire Pressure Detection Using an Enhanced Deep Learning Architecture","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407982285","doi":"https://doi.org/10.32604/cmc.2025.061379"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.061379","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.061379","pdf_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-83-1/TSP_CMC_61379/TSP_CMC_61379.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-83-1/TSP_CMC_61379/TSP_CMC_61379.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049538475","display_name":"Shih-Lin Lin","orcid":"https://orcid.org/0000-0002-0234-8786"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shih-Lin Lin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049538475"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7157,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67448816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"83","issue":"1","first_page":"537","last_page":"557"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9603999853134155,"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"}},"topics":[{"id":"https://openalex.org/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9603999853134155,"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"}},{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9593999981880188,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9588000178337097,"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/deep-learning","display_name":"Deep learning","score":0.6147872805595398},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.5783618688583374},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5776757001876831},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49643951654434204},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34378695487976074},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.33459433913230896},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21058189868927002},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.08597654104232788}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6147872805595398},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.5783618688583374},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5776757001876831},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49643951654434204},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34378695487976074},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.33459433913230896},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21058189868927002},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.08597654104232788},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.061379","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.061379","pdf_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-83-1/TSP_CMC_61379/TSP_CMC_61379.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.061379","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.061379","pdf_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-83-1/TSP_CMC_61379/TSP_CMC_61379.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320331164","display_name":"National Science and Technology Council","ror":"https://ror.org/00wnb9798"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407982285.pdf","grobid_xml":"https://content.openalex.org/works/W4407982285.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W2049772201","https://openalex.org/W2116702374","https://openalex.org/W2123649031","https://openalex.org/W2136396015","https://openalex.org/W2161663128","https://openalex.org/W2889453039","https://openalex.org/W2909074876","https://openalex.org/W2910096450","https://openalex.org/W2910854613","https://openalex.org/W2935842115","https://openalex.org/W2944532375","https://openalex.org/W2947411064","https://openalex.org/W2976482555","https://openalex.org/W2978345819","https://openalex.org/W2984234582","https://openalex.org/W3001232759","https://openalex.org/W3006583578","https://openalex.org/W3007444020","https://openalex.org/W3011424859","https://openalex.org/W3013707901","https://openalex.org/W3037420336","https://openalex.org/W3046220160","https://openalex.org/W3118282622","https://openalex.org/W3142002785","https://openalex.org/W3161477338","https://openalex.org/W3164104137","https://openalex.org/W4313655127","https://openalex.org/W4376873434"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W3086377361"],"abstract_inverted_index":{"Tires":[0],"are":[1],"integral":[2],"to":[3,26],"vehicular":[4],"systems,":[5],"directly":[6],"influencing":[7],"both":[8],"safety":[9],"and":[10,31],"overall":[11],"performance.":[12],"Traditional":[13],"tire":[14],"pressure":[15],"inspection":[16],"methods\u2014such":[17],"as":[18],"manual":[19],"or":[20],"gauge-based":[21],"approaches\u2014are":[22],"often":[23],"time-consuming,":[24],"prone":[25],"i...":[27],"|":[28],"Find,":[29],"read":[30],"cite":[32],"all":[33],"the":[34],"research":[35],"you":[36],"need":[37],"on":[38],"Tech":[39],"Science":[40],"Press":[41]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}