AI-Enabled Sensing and Decision-Making for IoT Systems | Zendy

Qinxia Hao | Zendy; Shah Nazir | Zendy; Li Ma | Zendy; Habib Ullah Khan | Zendy; Wang Lianlian | Zendy; Sultan Ahmad | Zendy

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AI-Enabled Sensing and Decision-Making for IoT Systems

Author(s) -

Qinxia Hao,

Shah Nazir,

Li Ma,

Habib Ullah Khan,

Wang Lianlian,

Sultan Ahmad

Publication year - 2021

Publication title -

complexity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.447

H-Index - 61

eISSN - 1099-0526

pISSN - 1076-2787

DOI - 10.1155/2021/6616279

Subject(s) - computer science , globe , internet of things , systematic review , data science , intelligent decision support system , task (project management) , quality (philosophy) , management science , artificial intelligence , computer security , engineering , systems engineering , medicine , philosophy , medline , epistemology , political science , law , ophthalmology

School of Communication and Information Engineering, Xi’an University of Science and Technology, Xi’an 710054, China School of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an 710054, China Department of Computer Science, University of Swabi, Swabi, Pakistan Department of Accounting & Information Systems, College of Business & Economics, Qatar University, Doha, Qatar Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Alkharj 11942, Saudi Arabia

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