{"id":"https://openalex.org/W4415400063","doi":"https://doi.org/10.1109/spml66318.2025.11199777","title":"Design of Distributed Microclimate Monitoring System Based on Deep Learning","display_name":"Design of Distributed Microclimate Monitoring System Based on Deep Learning","publication_year":2025,"publication_date":"2025-07-15","ids":{"openalex":"https://openalex.org/W4415400063","doi":"https://doi.org/10.1109/spml66318.2025.11199777"},"language":null,"primary_location":{"id":"doi:10.1109/spml66318.2025.11199777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spml66318.2025.11199777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 8th International Conference on Signal Processing and Machine Learning (SPML)","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/A5101261401","display_name":"Rongmeng Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153394","display_name":"Ningxia Meteorological Bureau","ror":"https://ror.org/0449jya45","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092","https://openalex.org/I4210153394"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongmeng Deng","raw_affiliation_strings":["Tai&#x0027;an Meteorological Bureau,Tai&#x0027;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tai&#x0027;an Meteorological Bureau,Tai&#x0027;an,China","institution_ids":["https://openalex.org/I4210153394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036633220","display_name":"Jiancheng Zhang","orcid":"https://orcid.org/0000-0002-6103-7793"},"institutions":[{"id":"https://openalex.org/I4210153394","display_name":"Ningxia Meteorological Bureau","ror":"https://ror.org/0449jya45","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092","https://openalex.org/I4210153394"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancheng Zhang","raw_affiliation_strings":["Tai&#x0027;an Meteorological Bureau,Tai&#x0027;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tai&#x0027;an Meteorological Bureau,Tai&#x0027;an,China","institution_ids":["https://openalex.org/I4210153394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100610034","display_name":"Chao Yuan","orcid":"https://orcid.org/0000-0001-7963-9525"},"institutions":[{"id":"https://openalex.org/I4210153394","display_name":"Ningxia Meteorological Bureau","ror":"https://ror.org/0449jya45","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092","https://openalex.org/I4210153394"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Yuan","raw_affiliation_strings":["Tai&#x0027;an Meteorological Bureau,Tai&#x0027;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tai&#x0027;an Meteorological Bureau,Tai&#x0027;an,China","institution_ids":["https://openalex.org/I4210153394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078656823","display_name":"Yong Zhao","orcid":"https://orcid.org/0000-0002-7999-1083"},"institutions":[{"id":"https://openalex.org/I4210153394","display_name":"Ningxia Meteorological Bureau","ror":"https://ror.org/0449jya45","country_code":"CN","type":"government","lineage":["https://openalex.org/I141301092","https://openalex.org/I4210153394"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhao","raw_affiliation_strings":["Tai&#x0027;an Meteorological Bureau,Tai&#x0027;an,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tai&#x0027;an Meteorological Bureau,Tai&#x0027;an,China","institution_ids":["https://openalex.org/I4210153394"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210153394"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"468","last_page":"473"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.3912999927997589,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.3912999927997589,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12260","display_name":"Educational Technology and Pedagogy","score":0.37279999256134033,"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/T13567","display_name":"AI and Multimedia in Education","score":0.3537999987602234,"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/microclimate","display_name":"Microclimate","score":0.7023000121116638},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5526000261306763},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5199000239372253},{"id":"https://openalex.org/keywords/data-transmission","display_name":"Data transmission","score":0.45739999413490295},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.44749999046325684},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4383000135421753},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.39899998903274536},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.3725999891757965},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.37040001153945923}],"concepts":[{"id":"https://openalex.org/C32957820","wikidata":"https://www.wikidata.org/wiki/Q215108","display_name":"Microclimate","level":2,"score":0.7023000121116638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5608999729156494},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5586000084877014},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5526000261306763},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5199000239372253},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.45739999413490295},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.44749999046325684},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4383000135421753},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.39899998903274536},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.3725999891757965},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.37040001153945923},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.3662000000476837},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.35830000042915344},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3472000062465668},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3467000126838684},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.3409000039100647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3400000035762787},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3379000127315521},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.33559998869895935},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.311599999666214},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.29750001430511475},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C111185680","wikidata":"https://www.wikidata.org/wiki/Q3866206","display_name":"Sensor node","level":5,"score":0.2858000099658966},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.273499995470047},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C197298091","wikidata":"https://www.wikidata.org/wiki/Q5318963","display_name":"Dynamic data","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C31352089","wikidata":"https://www.wikidata.org/wiki/Q3750474","display_name":"Systems design","level":2,"score":0.25270000100135803},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25209999084472656},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/spml66318.2025.11199777","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spml66318.2025.11199777","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 8th International Conference on Signal Processing and Machine Learning (SPML)","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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,119],"limitations":[3],"of":[4,52],"traditional":[5,116],"microclimate":[6,27,163],"monitoring":[7,12,28],"systems,":[8],"such":[9,167],"as":[10,168],"sparse":[11],"nodes,":[13],"high":[14],"data":[15,53,80,90,141],"transmission":[16,142],"latency,":[17],"and":[18,43,57,109,128,135,147,171],"poor":[19],"model":[20,67],"generalization,":[21],"this":[22],"paper":[23],"proposes":[24],"a":[25,157],"distributed":[26,37],"system":[29,35,121,155],"based":[30,83],"on":[31,69,84],"deep":[32,45],"learning.":[33],"The":[34],"integrates":[36],"sensor":[38],"networks":[39],"with":[40],"edge":[41,70],"computing":[42],"lightweight":[44,64],"learning":[46],"models":[47],"to":[48,72,87,98,115],"achieve":[49],"integrated":[50],"processing":[51],"collection,":[54],"transmission,":[55],"fusion,":[56],"prediction.":[58],"Key":[59],"innovations":[60],"include:":[61],"1)":[62],"A":[63,78,93],"CNN-LSTM":[65],"hybrid":[66],"deployed":[68],"devices":[71],"reduce":[73],"computational":[74],"resource":[75],"consumption;":[76],"2)":[77],"multi-node":[79],"collaboration":[81],"method":[82],"attention":[85],"mechanisms":[86],"resolve":[88],"spatiotemporal":[89],"asynchrony;":[91],"3)":[92],"dynamic":[94,162],"node":[95,148],"sleep":[96],"mechanism":[97],"optimize":[99],"energy":[100,149],"efficiency.":[101],"Experimental":[102],"results":[103],"demonstrate":[104],"that":[105],"in":[106,165],"temperature,":[107],"humidity,":[108],"wind":[110],"speed":[111],"prediction":[112],"tasks,":[113],"compared":[114],"centralized":[117],"models,":[118],"proposed":[120],"reduces":[122],"Root":[123],"Mean":[124,129],"Square":[125],"Error":[126,131],"(RMSE)":[127],"Absolute":[130],"(MAE)":[132],"by":[133,144,151],"18.7%":[134],"15.3":[136],"%,":[137],"respectively,":[138],"while":[139],"decreasing":[140],"latency":[143],"30":[145],"%":[146],"consumption":[150],"45":[152],"%.":[153],"This":[154],"provides":[156],"high-resolution,":[158],"low-latency":[159],"solution":[160],"for":[161],"perception":[164],"applications":[166],"precision":[169],"agriculture":[170],"urban":[172],"heat":[173],"island":[174],"monitoring.":[175]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-22T00:00:00"}
