You are currently viewing a new version of our website. To view the old version click .

Innovative Sensor Technology for Intelligent System and Computing

Special Issue Information

Keywords

  • Intelligent Devices and Sensor
  • Wireless Sensor Network for Intelligent Computing
  • Cognitive Sensor Technology for Intelligent Computing
  • Cloud Computing for Intelligent Mobile Devices with Sensor Network
  • High performance wireless/mobile computing and service
  • Real-World Sensing and Interaction
  • Smart Vehicles with Intelligent Sensor Technology
  • Artificial Intelligence for Intelligent Computing with Sensor Technology
  • Big Data Processing and Data Mining with Sensor Technology
  • Intelligent Sensor Technology based Entertainment and Games
  • Smart Power Electronics
  • Intelligent Control and Robot Systems with Sensor Technology
  • Autonomous Systems with Innovative Sensor Technology
  • Cognitive systems with Intelligent Sensor Technology
  • Decision Support System from Sensing Data
  • Human-Computer Interaction with Innovative Sensor Technology
  • Information retrieval and extraction with Sensor Technology
  • Machine Learning from Sensing Data

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Published Papers

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Sensors - ISSN 1424-8220