{"id":"https://openalex.org/W3116137014","doi":"https://doi.org/10.1109/hpec43674.2020.9286248","title":"Train and Deploy an Image Classifier for Disaster Response","display_name":"Train and Deploy an Image Classifier for Disaster Response","publication_year":2020,"publication_date":"2020-09-22","ids":{"openalex":"https://openalex.org/W3116137014","doi":"https://doi.org/10.1109/hpec43674.2020.9286248","mag":"3116137014"},"language":"en","primary_location":{"id":"doi:10.1109/hpec43674.2020.9286248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec43674.2020.9286248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-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/A5005782759","display_name":"Jianyu Mao","orcid":"https://orcid.org/0000-0002-8752-9403"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jianyu Mao","raw_affiliation_strings":["The Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044358203","display_name":"Kiana Harris","orcid":"https://orcid.org/0000-0002-8016-1351"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kiana Harris","raw_affiliation_strings":["The Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052566672","display_name":"Nae-Rong Chang","orcid":"https://orcid.org/0000-0002-0733-4586"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nae-Rong Chang","raw_affiliation_strings":["The Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074578308","display_name":"Caleb Pennell","orcid":"https://orcid.org/0000-0002-7898-4332"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Caleb Pennell","raw_affiliation_strings":["The Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101665862","display_name":"Yiming Ren","orcid":"https://orcid.org/0000-0001-9475-8581"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiming Ren","raw_affiliation_strings":["The Pennsylvania State University"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005782759"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.5507,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71337774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9922999739646912,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7761011719703674},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.7078257203102112},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6028002500534058},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.581782341003418},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5711577534675598},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5612115263938904},{"id":"https://openalex.org/keywords/disaster-response","display_name":"Disaster response","score":0.5058248043060303},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49564802646636963},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.476805180311203},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4484897255897522},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4467124938964844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4454357922077179},{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.43292853236198425},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4297041893005371},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3802041709423065},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3270186185836792},{"id":"https://openalex.org/keywords/emergency-management","display_name":"Emergency management","score":0.2537779211997986},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08803883194923401}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7761011719703674},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.7078257203102112},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6028002500534058},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.581782341003418},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5711577534675598},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5612115263938904},{"id":"https://openalex.org/C3018653863","wikidata":"https://www.wikidata.org/wiki/Q5281355","display_name":"Disaster response","level":3,"score":0.5058248043060303},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49564802646636963},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.476805180311203},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4484897255897522},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4467124938964844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4454357922077179},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.43292853236198425},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4297041893005371},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3802041709423065},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3270186185836792},{"id":"https://openalex.org/C62555980","wikidata":"https://www.wikidata.org/wiki/Q1460420","display_name":"Emergency management","level":2,"score":0.2537779211997986},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08803883194923401},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpec43674.2020.9286248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpec43674.2020.9286248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE High Performance Extreme Computing Conference (HPEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.800000011920929,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1928278792","https://openalex.org/W2099001231","https://openalex.org/W2101926813","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2612445135","https://openalex.org/W2963163009","https://openalex.org/W2963446712","https://openalex.org/W2969349638","https://openalex.org/W2970971581","https://openalex.org/W3103150888","https://openalex.org/W4295312788","https://openalex.org/W4297775537","https://openalex.org/W6684191040","https://openalex.org/W6687483927","https://openalex.org/W6737664043","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W2786391746","https://openalex.org/W2995001409","https://openalex.org/W3132346564","https://openalex.org/W2991483587","https://openalex.org/W3115780569","https://openalex.org/W2914559142","https://openalex.org/W4360783045","https://openalex.org/W4226059458","https://openalex.org/W4381430104","https://openalex.org/W4383816138"],"abstract_inverted_index":{"With":[0],"Deep":[1],"Learning":[2],"Image":[3],"Classification":[4],"becoming":[5],"more":[6],"powerful":[7],"each":[8],"year,":[9],"it":[10],"is":[11],"apparent":[12],"that":[13,23],"its":[14],"introduction":[15],"to":[16,55,74],"disaster":[17,45],"response":[18],"will":[19],"increase":[20],"the":[21,65,82],"efficiency":[22],"responders":[24],"can":[25],"work":[26],"with.":[27],"Using":[28],"several":[29],"Neural":[30],"Network":[31],"Models,":[32],"including":[33],"AlexNet,":[34],"ResNet,":[35],"MobileNet,":[36],"DenseNets,":[37],"and":[38,60],"4-Layer":[39],"CNN,":[40],"we":[41],"have":[42,68],"classified":[43],"flood":[44],"images":[46],"from":[47],"a":[48,70],"large":[49],"image":[50],"data":[51,66],"set":[52,67],"with":[53,64],"up":[54],"79%":[56],"accuracy.":[57],"Our":[58],"models":[59],"tutorials":[61],"for":[62,72],"working":[63],"created":[69],"foundation":[71],"others":[73],"classify":[75],"other":[76],"types":[77],"of":[78],"disasters":[79],"contained":[80],"in":[81],"images.":[83]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}