{"id":"https://openalex.org/W7120187439","doi":"https://doi.org/10.1002/itl2.652","title":"Research on Prediction and Management of <scp>IoT</scp> Resource Supply Based on Machine Learning","display_name":"Research on Prediction and Management of <scp>IoT</scp> Resource Supply Based on Machine Learning","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7120187439","doi":"https://doi.org/10.1002/itl2.652"},"language":"en","primary_location":{"id":"doi:10.1002/itl2.652","is_oa":false,"landing_page_url":"https://doi.org/10.1002/itl2.652","pdf_url":null,"source":{"id":"https://openalex.org/S4210238311","display_name":"Internet Technology Letters","issn_l":"2476-1508","issn":["2476-1508"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Internet Technology Letters","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/A5116252736","display_name":"Yuyao Li","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuyao Li","raw_affiliation_strings":["Guangdong University of Science and Technology  Guangdong China"],"raw_orcid":"https://orcid.org/0009-0008-8017-9827","affiliations":[{"raw_affiliation_string":"Guangdong University of Science and Technology  Guangdong China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5116252736"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":{"value":2630,"currency":"USD","value_usd":2630},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03084437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.19470000267028809,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13918","display_name":"Advanced Data and IoT Technologies","score":0.19470000267028809,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.05380000174045563,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.051600001752376556,"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/the-internet","display_name":"The Internet","score":0.6967999935150146},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6148999929428101},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6140999794006348},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5464000105857849},{"id":"https://openalex.org/keywords/jitter","display_name":"Jitter","score":0.4925000071525574},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4896000027656555},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4203999936580658},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.41670000553131104},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.3824000060558319}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7559999823570251},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.6967999935150146},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6148999929428101},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6140999794006348},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6119999885559082},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5519000291824341},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5464000105857849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5189999938011169},{"id":"https://openalex.org/C134652429","wikidata":"https://www.wikidata.org/wiki/Q1052698","display_name":"Jitter","level":2,"score":0.4925000071525574},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4896000027656555},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4203999936580658},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.41670000553131104},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.3824000060558319},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.36149999499320984},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.34310001134872437},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.34200000762939453},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3393999934196472},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.33340001106262207},{"id":"https://openalex.org/C54108766","wikidata":"https://www.wikidata.org/wiki/Q391064","display_name":"Packet loss","level":3,"score":0.33230000734329224},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.3303000032901764},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.27410000562667847}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/itl2.652","is_oa":false,"landing_page_url":"https://doi.org/10.1002/itl2.652","pdf_url":null,"source":{"id":"https://openalex.org/S4210238311","display_name":"Internet Technology Letters","issn_l":"2476-1508","issn":["2476-1508"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Internet Technology Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W3120020704","https://openalex.org/W4214909226","https://openalex.org/W4362698949","https://openalex.org/W4392267185","https://openalex.org/W4392432803","https://openalex.org/W4392536178"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"Network":[1],"transmission":[2,15],"plays":[3],"an":[4,19],"important":[5,20],"role":[6],"in":[7,28,37,208,239],"information":[8,26],"system":[9],"services":[10],"of":[11,22,25,34,50,66,73,136,140,155,162,193,204,223,255,264],"IoT,":[12],"and":[13,44,64,94,98,120,134,149,158,187,191,214,251,261],"network":[14,118,169,178,248],"quality":[16,24,36,53,87,138,170,179,222],"is":[17,105,267],"also":[18],"indicator":[21,164],"the":[23,32,46,62,67,85,90,96,103,108,115,132,137,141,153,160,163,189,200,205,215,221,237,246,256,265],"export":[27,52],"China.":[29],"To":[30,166],"measure":[31],"development":[33],"Internet":[35,51,86,109,142,156,224],"China's":[38],"foreign":[39],"trade,":[40],"this":[41,77,112,172,209,240],"paper":[42,59,78,113,173,241,266],"calculates":[43],"analyzes":[45,61],"time":[47,74],"series":[48,75],"data":[49,92,139,194,262],"based":[54,182],"on":[55,183],"open":[56],"source.":[57],"This":[58],"first":[60],"necessity":[63],"significance":[65],"research.":[68],"After":[69],"comparing":[70],"several":[71],"types":[72],"methods,":[76],"chooses":[79],"a":[80,100,175],"statistics\u2010based":[81],"method":[82,130],"to":[83,107,125],"describe":[84],"data,":[88,213],"compares":[89],"statistical":[91],"before":[93],"after":[95],"epidemic,":[97],"draws":[99],"conclusion":[101],"that":[102],"epidemic":[104],"irrelevant":[106],"quality.":[110],"Further,":[111],"combined":[114],"cyclic":[116],"neural":[117],"LSTM":[119,129,206],"principal":[121,184,231],"component":[122,185,232],"analysis":[123,133,186,190],"methods":[124],"carry":[126],"out":[127],"calculations.":[128],"completed":[131,159],"prediction":[135,202],"export,":[143],"selected":[144],"packet":[145],"loss":[146],"rate,":[147],"RTT,":[148],"delay":[150],"jitter":[151],"as":[152],"indicators":[154],"quality,":[157],"preprocessing":[161],"data.":[165],"obtain":[167],"comprehensive":[168],"indicators,":[171],"constructs":[174],"single":[176],"index":[177,212,217],"evaluation":[180],"model":[181],"completes":[188],"calculation":[192],"analysis.":[195,233],"The":[196],"computation":[197],"results":[198],"demonstrate":[199],"great":[201],"accuracy":[203],"referenced":[207],"research":[210,238],"for":[211,219,245],"only":[216],"result":[218],"measuring":[220],"exports":[225],"can":[226,242],"be":[227],"obtained":[228],"by":[229],"using":[230],"In":[234],"practical":[235],"applications,":[236],"provide":[243],"support":[244],"subsequent":[247],"performance":[249],"optimization":[250],"bandwidth":[252],"utilization":[253],"improvement":[254],"IOT":[257],"industry.":[258],"Github":[259],"link":[260],"source":[263],"https://github.com/superpeace90/iotproject":[268],".":[269]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-01-10T00:00:00"}