{"id":"https://openalex.org/W3024981193","doi":"https://doi.org/10.1109/iciot48696.2020.9089651","title":"Deployment of Deep Learning Models on Resource-Deficient Devices for Object Detection","display_name":"Deployment of Deep Learning Models on Resource-Deficient Devices for Object Detection","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3024981193","doi":"https://doi.org/10.1109/iciot48696.2020.9089651","mag":"3024981193"},"language":"en","primary_location":{"id":"doi:10.1109/iciot48696.2020.9089651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciot48696.2020.9089651","pdf_url":null,"source":{"id":"https://openalex.org/S4306498678","display_name":"2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5010833275","display_name":"Ameema Zainab","orcid":"https://orcid.org/0000-0002-3754-4162"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ameema Zainab","raw_affiliation_strings":["Department of Electrical & Computer Engineering, Texas A&M University, College Station, Texas, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, Texas A&M University, College Station, Texas, U.S.A","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086796838","display_name":"Dabeeruddin Syed","orcid":"https://orcid.org/0000-0002-9431-4849"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dabeeruddin Syed","raw_affiliation_strings":["Department of Electrical & Computer Engineering, Texas A&M University, College Station, Texas, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, Texas A&M University, College Station, Texas, U.S.A","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.7689,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.79201076,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9993000030517578,"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":0.9993000030517578,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9878000020980835,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/software-deployment","display_name":"Software deployment","score":0.8423411846160889},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7492684125900269},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.5954309701919556},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.590214192867279},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5255436301231384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47382888197898865},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4670957922935486},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3351319432258606},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.2292599081993103},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1492045819759369},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1313401460647583}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.8423411846160889},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7492684125900269},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.5954309701919556},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.590214192867279},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5255436301231384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47382888197898865},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4670957922935486},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3351319432258606},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2292599081993103},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1492045819759369},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1313401460647583}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iciot48696.2020.9089651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iciot48696.2020.9089651","pdf_url":null,"source":{"id":"https://openalex.org/S4306498678","display_name":"2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1986533639","https://openalex.org/W2008223241","https://openalex.org/W2037227137","https://openalex.org/W2088049833","https://openalex.org/W2097117768","https://openalex.org/W2102605133","https://openalex.org/W2103897297","https://openalex.org/W2144470711","https://openalex.org/W2154683974","https://openalex.org/W2161567010","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2179352600","https://openalex.org/W2570343428","https://openalex.org/W2963037989","https://openalex.org/W6620707391","https://openalex.org/W6676338569","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W2566006169","https://openalex.org/W2987774938","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3034745255","https://openalex.org/W4254103348","https://openalex.org/W4292830139"],"abstract_inverted_index":{"Detection":[0],"of":[1,25,31,35,41,48,55,69],"images":[2],"or":[3,139],"objects":[4,57],"in":[5,21,105,109,121,135],"motion":[6],"have":[7,80],"been":[8,16,119],"highly":[9],"worked":[10,81],"upon,":[11],"and":[12,19,37,58,67,74,96,102,130],"the":[13,26,29,42,56,106],"detection":[14,49,70],"has":[15,118],"incorporated,":[17],"required":[18,63],"utilized":[20],"applications.":[22],"A":[23],"few":[24],"limitations":[27],"include":[28],"lack":[30,34],"computational":[32,146],"resources,":[33],"strategic":[36],"methodological":[38],"data":[39],"analysis":[40],"observed":[43],"trained":[44,112],"data.":[45],"The":[46,111],"accuracy":[47],"is":[50,62],"dependent":[51],"on":[52,86],"movement,":[53],"velocity":[54],"Illuminacy.":[59],"Therefore,":[60],"it":[61],"that":[64],"new":[65],"techniques":[66],"strategies":[68],"are":[71],"drafted,":[72],"applied":[73],"recognized.":[75],"In":[76],"this":[77],"work,":[78],"we":[79],"upon":[82],"a":[83,136],"model":[84,113,117],"based":[85],"scalable":[87],"object":[88],"detection,":[89],"using":[90],"Deep":[91],"Neural":[92],"Networks":[93],"to":[94],"localize":[95],"track":[97],"people,":[98],"cars,":[99],"potted":[100],"plants":[101],"other":[103,141],"categories":[104],"camera":[107],"preview":[108],"real-time.":[110],"from":[114],"google":[115],"inception":[116],"implemented":[120],"an":[122],"android":[123],"application.":[124],"This":[125],"integrated":[126],"application":[127],"works":[128],"real-time":[129],"can":[131],"be":[132],"used":[133],"handy":[134],"mobile":[137],"phone":[138],"any":[140],"smart":[142],"device":[143],"with":[144],"minimal":[145],"resources.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
