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1887

3rd Smart Cities Symposium (SCS 2020)

Buy conference proceeding
$126.00
(plus tax if applicable)
  • Location: Online Conference
  • Conference date: 21-23 September 2020
  • ISBN: 978-1-83953-522-2
  • Conference number: CP777
  • To create awareness about the future prospects of Smart Cities, to build a platform exchanging ideas and throughs with international prospects and dimensions. In addition, the symposium is more emphasizing roles of universities in promoting Smart Cities, Consultancy, Smarter Ideas, and Continuity in form of publications and innovative solutions.

1 - 20 of 121 items found

  • Predicting successful software reuse using machine learning
  • The effects of human factor dynamics in cyber security in kuwait
  • Towards a comprehensive self-admitted technical debt extraction technique from source code comments
  • Performance evaluation of the ducted vertical axis wind turbine for domestic applications
  • Deep learning applications in automobiles
  • Hybrid Sensor-based traffic monitoring and managing urban areas in hyderabad city
  • Artificial intelligent and FPGAs for omnidirectional 3-wheeled mobile robot
  • Enhanced features of smart parking system
  • EEG-based classification of visually evoked emotions using multiscale entropy features
  • Design of a low-cost system prototype to track down missing pilgrims
  • Smart cities’ success - how well utility companies are prepared
  • An enhanced charge controller for standalone PV systems
  • An integrated framework for modeling cognitive internet of everything systems
  • Automated brake system for drivers distraction cases
  • A survey for AWS cloud development tools and services
  • On DNA cryptography for secure data storage and transfer
  • Multi-hop broadcast protocol based on smart fuzzy inference for vehicular Ad-Hoc network
  • Voice assisted smart home automation system
  • A web-based system using IOT to economize the power consumption of Air conditioner: A case study in Bahrain
  • Security and authentication of outsourcing cloud data
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