{"id":"https://openalex.org/W4400727202","doi":"https://doi.org/10.1109/iwcmc61514.2024.10592327","title":"Enhancing Post-Disaster Survivor Detection Using UAV Imagery and Transfer Learning Strategies","display_name":"Enhancing Post-Disaster Survivor Detection Using UAV Imagery and Transfer Learning Strategies","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4400727202","doi":"https://doi.org/10.1109/iwcmc61514.2024.10592327"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc61514.2024.10592327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc61514.2024.10592327","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Wireless Communications and Mobile Computing (IWCMC)","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/A5102583905","display_name":"Nema Ahmed","orcid":"https://orcid.org/0000-0003-2672-6865"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Nema Ahmed","raw_affiliation_strings":["Qatar University,Dept. of Computer Science and Engineering,Doha,Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qatar University,Dept. of Computer Science and Engineering,Doha,Qatar","institution_ids":["https://openalex.org/I60342839"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017608892","display_name":"Somaya Al-M\u00e1adeed","orcid":"https://orcid.org/0000-0002-0241-2899"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Somaya Al-Maadeed","raw_affiliation_strings":["Qatar University,Dept. of Computer Science and Engineering,Doha,Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qatar University,Dept. of Computer Science and Engineering,Doha,Qatar","institution_ids":["https://openalex.org/I60342839"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I60342839"],"apc_list":null,"apc_paid":null,"fwci":0.9523,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70119109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"220","last_page":"225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.7918999791145325,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.7918999791145325,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.7802000045776367,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6308808326721191},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6176738739013672},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38447195291519165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6308808326721191},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6176738739013672},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38447195291519165}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iwcmc61514.2024.10592327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc61514.2024.10592327","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Wireless Communications and Mobile Computing (IWCMC)","raw_type":"proceedings-article"},{"id":"pmh:oai:qspace.qu.edu.qa:10576/60048","is_oa":false,"landing_page_url":"http://hdl.handle.net/10576/60048","pdf_url":null,"source":{"id":"https://openalex.org/S4306400014","display_name":"Qatar University QSpace (Qatar University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60342839","host_organization_name":"Qatar University","host_organization_lineage":["https://openalex.org/I60342839"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.8700000047683716,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2963037989","https://openalex.org/W3046290310","https://openalex.org/W3113977371","https://openalex.org/W3165816055","https://openalex.org/W3177071754","https://openalex.org/W3200250588","https://openalex.org/W3205100603","https://openalex.org/W4281393357","https://openalex.org/W4281711269","https://openalex.org/W4283319498","https://openalex.org/W4293584584","https://openalex.org/W4307135222","https://openalex.org/W4385839827","https://openalex.org/W4386076325","https://openalex.org/W4386590944","https://openalex.org/W6750227808","https://openalex.org/W6810784583","https://openalex.org/W6926089537"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W3123837699"],"abstract_inverted_index":{"In":[0],"disaster":[1,28,141,157],"response":[2,142],"and":[3,5,32,48,152,159],"search":[4],"rescue":[6],"operations,":[7],"the":[8,38,43,64,80,93,101,111,119,147],"immediate":[9],"detection":[10,41,57],"of":[11,72,85,95,121,149],"survivors":[12,26],"remains":[13],"a":[14,20,75,89,97,107,127],"critical":[15,165],"challenge.":[16],"This":[17,144],"research":[18],"pioneers":[19],"novel":[21],"approach":[22],"to":[23],"rapidly":[24],"detect":[25],"in":[27,155,163],"areas":[29],"using":[30],"UAVs":[31],"advanced":[33],"computer":[34,133],"vision":[35,134],"techniques.":[36],"Leveraging":[37],"YOLOv8":[39,65],"object":[40],"model,":[42],"study":[44],"explores":[45],"how":[46],"synthetic":[47],"real":[49],"disaster-specific":[50],"datasets,":[51],"alongside":[52],"transfer":[53,153],"learning,":[54],"enhance":[55],"survivor":[56],"capabilities.":[58],"Results":[59],"show":[60],"promising":[61],"adaptability,":[62],"with":[63,88],"model":[66,99,130],"achieving":[67],"an":[68],"average":[69],"precision":[70],"(AP)":[71],"0.864,":[73],"marking":[74],"significant":[76],"32%":[77],"improvement":[78],"over":[79],"previous":[81],"state-of-the-art":[82],"(SOTA)":[83],"performance":[84],"0.654":[86],"achieved":[87],"slower":[90],"model.":[91],"Furthermore,":[92],"combination":[94],"fine-tuning":[96],"pre-trained":[98],"on":[100],"newly":[102],"built":[103],"dataset":[104],"surpassed,":[105],"by":[106],"small":[108],"margin,":[109],"even":[110],"standard":[112],"training":[113],"method":[114],"despite":[115],"utilizing":[116],"only":[117],"half":[118],"number":[120],"epochs.":[122],"Additionally,":[123],"this":[124,164],"paper":[125,145],"proposes":[126],"UAV-based":[128],"system":[129],"that":[131],"integrates":[132],"for":[135],"rapid":[136],"onsite":[137],"detection,":[138],"potentially":[139],"revolutionizing":[140],"frameworks.":[143],"highlights":[146],"potential":[148],"UAV":[150],"technology":[151],"learning":[154],"improving":[156],"management":[158],"guides":[160],"future":[161],"investigations":[162],"field.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
