Art
J-GLOBAL ID:202102243734626195   Reference number:21A1195723

Reinforcement Learning for Predictive Analytics in Smart Cities

スマートシティにおける予測解析学のための強化学習【JST・京大機械翻訳】
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Material:
Volume:Issue:Page: 16  Publication year: 2017 
JST Material Number: U7202A  ISSN: 2227-9709  Document type: Article
Article type: 原著論文  Country of issue: Switzerland (CHE)  Language: ENGLISH (EN)
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The digitization of our lives ...
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Computer networks  ,  Urban planning in general,urban economics 
Reference (52):
  • Scholl, H.; Scholl, M. Smart Governance: A Roadmap for Research and Practice. In Proceedings of the iConference Summary, Berlin, Germany, 4-7 March 2014; pp. 163-176.
  • Meijer, A.; Bolivar, M. Governing the Smart City: Scaling-Up the Search for Socio-Techno Synergy. In Proceedings of the 2013 EGPA Conference, Scotland, UK, 11-13 September 2013.
  • Bolivar, M.P.R. Smart Cities: Big Cities, Complex Governance? In Transforming City Governments for Successful Smart Cities; Public Administration and Information Technology 8; Springer International Publishing: Berlin, Germany, 2015.
  • Kresin, C. Design Rules for Smarter Cities. In ‘Smart Citizens’ Future Everything; Hemmet, D., Townsend, A., Eds.; Future Everything Publications: Manchester, UK, 2013; pp. 51-54.
  • Silva, B.N.; Khan, M.; Han, K. Big Data Analytics Embedded Smart City Architecture for Performance Enhancement through Real-Time Data Processing and Decision-Making. Wirel. Commun. Mobile Comput. 2017, 2017, 9429676.
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