{"id":"https://openalex.org/W4403390924","doi":"https://doi.org/10.1109/fmec62297.2024.10710226","title":"Towards Efficient Edge Computing: Optimizing Lightweight Models for Weather Classification","display_name":"Towards Efficient Edge Computing: Optimizing Lightweight Models for Weather Classification","publication_year":2024,"publication_date":"2024-09-02","ids":{"openalex":"https://openalex.org/W4403390924","doi":"https://doi.org/10.1109/fmec62297.2024.10710226"},"language":"en","primary_location":{"id":"doi:10.1109/fmec62297.2024.10710226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fmec62297.2024.10710226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Fog and Mobile Edge Computing (FMEC)","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/A5090803864","display_name":"Kyeongeun Seo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kyeongeun Seo","raw_affiliation_strings":["Korea Electronics Technology Institute,Information Media Research Center,Seoul,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea Electronics Technology Institute,Information Media Research Center,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102262180","display_name":"Chang Mo Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chang Mo Yang","raw_affiliation_strings":["Korea Electronics Technology Institute,Information Media Research Center,Seoul,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea Electronics Technology Institute,Information Media Research Center,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I4210131650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026002542","display_name":"Dongchil Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131650","display_name":"Korea Electronics Technology Institute","ror":"https://ror.org/039k6f508","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210089395","https://openalex.org/I4210131650"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongchil Kim","raw_affiliation_strings":["Korea Electronics Technology Institute,Information Media Research Center,Seoul,Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Korea Electronics Technology Institute,Information Media Research Center,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I4210131650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090803864"],"corresponding_institution_ids":["https://openalex.org/I4210131650"],"apc_list":null,"apc_paid":null,"fwci":0.7724,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77004105,"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":"183","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.7770000100135803,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.7770000100135803,"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/T11019","display_name":"Image Enhancement Techniques","score":0.7576000094413757,"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/T10320","display_name":"Neural Networks and Applications","score":0.7321000099182129,"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":0.7416385412216187},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5894556045532227},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5181090235710144},{"id":"https://openalex.org/keywords/weather-forecasting","display_name":"Weather forecasting","score":0.48426076769828796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3228799104690552},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.259129136800766}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7416385412216187},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5894556045532227},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5181090235710144},{"id":"https://openalex.org/C21001229","wikidata":"https://www.wikidata.org/wiki/Q182868","display_name":"Weather forecasting","level":2,"score":0.48426076769828796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3228799104690552},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.259129136800766},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fmec62297.2024.10710226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fmec62297.2024.10710226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Fog and Mobile Edge Computing (FMEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2606267751","https://openalex.org/W3032808253","https://openalex.org/W3092450415","https://openalex.org/W3094502228","https://openalex.org/W4315647870","https://openalex.org/W4319935924","https://openalex.org/W4323047062"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W4386004629","https://openalex.org/W2942586735"],"abstract_inverted_index":{"In":[0],"edge":[1,82],"computing":[2,83],"environments,":[3,55],"weather":[4,28,78],"classification":[5,29,79],"plays":[6],"a":[7,71],"vital":[8],"role":[9],"in":[10,59],"various":[11],"applications,":[12],"such":[13],"as":[14],"optimizing":[15],"crop":[16],"growth,":[17],"solar":[18],"energy":[19],"production,":[20],"autonomous":[21],"vehicle":[22],"routing,":[23],"and":[24,65,75,96,107,133],"video":[25],"surveillance.":[26],"Traditional":[27],"models,":[30],"primarily":[31],"based":[32],"on":[33,113],"ResNet,":[34],"have":[35],"recently":[36],"been":[37],"surpassed":[38],"by":[39,85],"Vision":[40],"Transformers":[41],"(ViT),":[42],"which":[43],"offer":[44],"high":[45,126],"accuracy.":[46],"However,":[47],"most":[48],"ViT":[49,90],"models":[50,80,124],"are":[51],"designed":[52],"for":[53,81],"server":[54],"leading":[56],"to":[57,73,89,99,138],"limitations":[58],"data":[60],"transmission":[61],"delays,":[62],"operational":[63],"costs,":[64],"application-specific":[66],"optimizations.":[67],"This":[68],"paper":[69],"proposes":[70],"method":[72],"generate":[74],"optimize":[76],"lightweight":[77,123],"environments":[84],"applying":[86],"post-training":[87],"quantization":[88],"models.":[91,140],"By":[92],"converting":[93],"model":[94,135],"weights":[95],"activation":[97],"values":[98],"low-bit":[100],"representations,":[101],"we":[102],"significantly":[103],"enhance":[104],"computational":[105],"speed":[106,132],"reduce":[108],"memory":[109],"usage.":[110],"Performance":[111],"analysis":[112],"the":[114],"Nvidia":[115],"Jetson":[116],"AGX":[117],"Orin":[118],"board":[119],"demonstrates":[120],"that":[121],"our":[122],"maintain":[125],"accuracy":[127],"while":[128],"greatly":[129],"improving":[130],"processing":[131],"reducing":[134],"size":[136],"compared":[137],"non-quantized":[139]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}