{"id":"https://openalex.org/W3009983358","doi":"https://doi.org/10.1109/tnse.2019.2961103","title":"Introduction to the Special Section on Learning-Based Modeling, Management, and Control for Computer and Communication Networks","display_name":"Introduction to the Special Section on Learning-Based Modeling, Management, and Control for Computer and Communication Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3009983358","doi":"https://doi.org/10.1109/tnse.2019.2961103","mag":"3009983358"},"language":"en","primary_location":{"id":"doi:10.1109/tnse.2019.2961103","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnse.2019.2961103","pdf_url":"https://ieeexplore.ieee.org/ielx7/6488902/9025091/09025276.pdf","source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/6488902/9025091/09025276.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039176528","display_name":"Jian Tang","orcid":"https://orcid.org/0000-0003-4418-0114"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian Tang","raw_affiliation_strings":["Department of Electrical Engineering & Computer Science"],"raw_orcid":"https://orcid.org/0000-0003-4418-0114","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering & Computer Science","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056442083","display_name":"Rong Zheng","orcid":"https://orcid.org/0000-0003-4070-075X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rong Zheng","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4070-075X","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042130660","display_name":"\u00d6zg\u00fcr B. Akan","orcid":"https://orcid.org/0000-0003-2523-3858"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ozgur B. Akan","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2523-3858","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100718232","display_name":"Weiyi Zhang","orcid":"https://orcid.org/0000-0002-7953-9644"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiyi Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1458,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41125409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":"1","first_page":"153","last_page":"154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14420","display_name":"Advanced Research in Systems and Signal Processing","score":0.5515999794006348,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14420","display_name":"Advanced Research in Systems and Signal Processing","score":0.5515999794006348,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13553","display_name":"Age of Information Optimization","score":0.534500002861023,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8000165224075317},{"id":"https://openalex.org/keywords/special-section","display_name":"Special section","score":0.6942360401153564},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6169606447219849},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5824161171913147},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5351629257202148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49637919664382935},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4419375956058502},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4386551082134247},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.43735432624816895},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3801313638687134},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3694239556789398},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.34366732835769653},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.34296169877052307},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.3046033978462219},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1743597686290741},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13624358177185059}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8000165224075317},{"id":"https://openalex.org/C2993458768","wikidata":"https://www.wikidata.org/wiki/Q3477549","display_name":"Special section","level":2,"score":0.6942360401153564},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6169606447219849},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5824161171913147},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5351629257202148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49637919664382935},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4419375956058502},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4386551082134247},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.43735432624816895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3801313638687134},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3694239556789398},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.34366732835769653},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.34296169877052307},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3046033978462219},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1743597686290741},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13624358177185059},{"id":"https://openalex.org/C61696701","wikidata":"https://www.wikidata.org/wiki/Q770766","display_name":"Engineering physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnse.2019.2961103","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnse.2019.2961103","pdf_url":"https://ieeexplore.ieee.org/ielx7/6488902/9025091/09025276.pdf","source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:generic.eprints.org:1186789","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/1186789/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1109/tnse.2019.2961103","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tnse.2019.2961103","pdf_url":"https://ieeexplore.ieee.org/ielx7/6488902/9025091/09025276.pdf","source":{"id":"https://openalex.org/S2484352698","display_name":"IEEE Transactions on Network Science and Engineering","issn_l":"2327-4697","issn":["2327-4697","2334-329X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3009983358.pdf","grobid_xml":"https://content.openalex.org/works/W3009983358.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W17155033","https://openalex.org/W2163296013","https://openalex.org/W165915117","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W2326995835","https://openalex.org/W2743859443","https://openalex.org/W2059402478","https://openalex.org/W1590307681","https://openalex.org/W2123347777"],"abstract_inverted_index":{"The":[0,139],"papers":[1],"in":[2],"this":[3,127,142],"special":[4,88,128,143],"section":[5,129,144],"examine":[6],"the":[7,73,104,131,137],"market":[8],"for":[9,15],"learning-based":[10],"modeling,":[11,147],"management,":[12],"and":[13,17,21,27,52,62,96,117,120,130,133],"control":[14,118],"computer":[16,119],"communication":[18,22,121],"networks.":[19,122],"Computer":[20],"networks":[23,152],"are":[24],"becoming":[25],"larger":[26],"more":[28],"complicated,":[29],"generating":[30],"a":[31],"huge":[32],"amount":[33],"of":[34,75,111,136,141,150],"runtime":[35],"statistics":[36],"data":[37,113],"(such":[38],"as":[39,55],"traffic":[40],"load,":[41],"resource":[42],"usages,":[43],"etc.)":[44],"every":[45],"second.":[46],"Meanwhile,":[47],"emerging":[48,95,154],"machine":[49,155],"learning":[50,156],"models":[51],"techniques,":[53],"such":[54],"active":[56],"learning,":[57],"Deep":[58,63],"Neural":[59],"Networks":[60],"(DNNs)":[61],"Reinforcement":[64],"Learning":[65],"(DRL),":[66],"have":[67],"been":[68],"shown":[69],"to":[70,91,102,114,126],"dramatically":[71],"improve":[72],"state-of-the-art":[74],"many":[76],"applications,":[77],"including":[78],"video/image":[79],"processing,":[80,83],"natural":[81],"language":[82],"game":[84],"playing,":[85],"etc.":[86],"This":[87],"issue":[89],"aims":[90],"exploit":[92],"how":[93],"these":[94],"powerful":[97],"techniques":[98],"can":[99],"be":[100],"leveraged":[101],"grasp":[103],"exciting":[105],"opportunities":[106],"provided":[107],"by":[108],"pervasive":[109],"availability":[110],"voluminous":[112],"model,":[115],"manage":[116],"We":[123],"appreciate":[124],"contributions":[125],"valuable":[132],"extensive":[134],"efforts":[135],"reviewers.":[138],"topics":[140],"range":[145],"from":[146],"analysis,":[148],"demonstration":[149],"various":[151],"with":[153],"techniques.":[157]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
