{"id":"https://openalex.org/W4413948333","doi":"https://doi.org/10.1504/ijcvr.2025.148213","title":"A deep learning framework for disaster recognition and classification of the damaged regions","display_name":"A deep learning framework for disaster recognition and classification of the damaged regions","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413948333","doi":"https://doi.org/10.1504/ijcvr.2025.148213"},"language":"en","primary_location":{"id":"doi:10.1504/ijcvr.2025.148213","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcvr.2025.148213","pdf_url":null,"source":{"id":"https://openalex.org/S11968101","display_name":"International Journal of Computational Vision and Robotics","issn_l":"1752-9131","issn":["1752-9131","1752-914X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Vision and Robotics","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/A5046425077","display_name":"Jaychand Upadhyay","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149145","display_name":"Xavier Institute of Communications","ror":"https://ror.org/03ntwd790","country_code":"IN","type":"other","lineage":["https://openalex.org/I4210149145"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Jaychand Loknath Upadhyay","raw_affiliation_strings":["Department of Information Technology, Xavier Institute of Engineering, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Xavier Institute of Engineering, Mumbai, India","institution_ids":["https://openalex.org/I4210149145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093874265","display_name":"Himanshu Gharat","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149145","display_name":"Xavier Institute of Communications","ror":"https://ror.org/03ntwd790","country_code":"IN","type":"other","lineage":["https://openalex.org/I4210149145"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Himanshu Gharat","raw_affiliation_strings":["Department of Information Technology, Xavier Institute of Engineering, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Xavier Institute of Engineering, Mumbai, India","institution_ids":["https://openalex.org/I4210149145"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111125358","display_name":"Reetik Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149145","display_name":"Xavier Institute of Communications","ror":"https://ror.org/03ntwd790","country_code":"IN","type":"other","lineage":["https://openalex.org/I4210149145"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Reetik Gupta","raw_affiliation_strings":["Department of Information Technology, Xavier Institute of Engineering, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Xavier Institute of Engineering, Mumbai, India","institution_ids":["https://openalex.org/I4210149145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093874264","display_name":"Pallav Savla","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149145","display_name":"Xavier Institute of Communications","ror":"https://ror.org/03ntwd790","country_code":"IN","type":"other","lineage":["https://openalex.org/I4210149145"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pallav Savla","raw_affiliation_strings":["Department of Information Technology, Xavier Institute of Engineering, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Xavier Institute of Engineering, Mumbai, India","institution_ids":["https://openalex.org/I4210149145"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046425077"],"corresponding_institution_ids":["https://openalex.org/I4210149145"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13536545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"5","first_page":"640","last_page":"668"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.5045999884605408,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T13018","display_name":"Seismology and Earthquake Studies","score":0.5045999884605408,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8486376404762268},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5553617477416992},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5280816555023193},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34975308179855347},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34117746353149414}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8486376404762268},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5553617477416992},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5280816555023193},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34975308179855347},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34117746353149414}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijcvr.2025.148213","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijcvr.2025.148213","pdf_url":null,"source":{"id":"https://openalex.org/S11968101","display_name":"International Journal of Computational Vision and Robotics","issn_l":"1752-9131","issn":["1752-9131","1752-914X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computational Vision and Robotics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W4360585206","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W4387369504","https://openalex.org/W3082895349"],"abstract_inverted_index":{"Natural":[0],"disasters":[1,20,59],"are":[2],"rare,":[3],"but":[4],"when":[5],"they":[6,8],"occur,":[7],"generally":[9],"cause":[10,61],"colossal":[11],"damage.":[12,87,109],"Due":[13],"to":[14,29,39,82,93,104,185],"climate":[15],"change,":[16],"the":[17,33,45,66,84,95,106,134,146,156,165,175,180],"number":[18],"of":[19,35,44,86,108,141,145,158,182],"is":[21,149],"increasing":[22],"which":[23,64,101,119,174],"demands":[24],"enhancement":[25],"in":[26,164],"disaster":[27,53,96,124,168],"response":[28,169],"reduce":[30],"and":[31,55,137,171],"recover":[32],"amount":[34],"devastation":[36],"caused":[37],"due":[38],"disasters.":[40,160],"A":[41],"rapid":[42],"assessment":[43],"situation":[46],"could":[47,102,178],"facilitate":[48],"an":[49,139],"improved":[50],"strategy":[51],"for":[52],"management":[54,170],"recovery.":[56],"However,":[57],"these":[58],"often":[60],"infrastructural":[62],"destruction":[63],"makes":[65],"affected":[67],"regions":[68,85,107],"inaccessible.":[69],"In":[70],"such":[71],"difficult":[72],"conditions,":[73],"aerial":[74],"images":[75,97,125],"captured":[76],"through":[77,126],"drones":[78],"can":[79],"be":[80],"momentous":[81],"identify":[83,105],"This":[88],"study":[89],"provides":[90],"a":[91,114],"methodology":[92],"classify":[94],"using":[98],"deep":[99,183],"learning,":[100],"help":[103],"To":[110],"perform":[111],"this":[112],"classification,":[113],"CNN":[115],"model":[116,130,148,177],"was":[117,120,131],"used":[118],"trained":[121,132],"on":[122,133],"various":[123,159],"transfer":[127],"learning.":[128],"The":[129,143,161],"AIDER":[135],"dataset":[136],"provided":[138],"F1-Score":[140],"96.8%.":[142],"performance":[144],"proposed":[147,176],"also":[150],"verified":[151],"with":[152],"real-time":[153],"videos":[154],"covering":[155],"recording":[157],"results":[162],"obtained":[163],"experiment":[166],"emphasise":[167],"ways":[172],"by":[173],"assist":[179],"role":[181],"learning":[184],"expedite":[186],"rescue":[187],"operations.":[188]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}