IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v3y2018i3idhcseit182016.html

IoT Enabled Sensor Network and Machine Learning

Author

Listed:
  • Neena Joseph
  • Vinodh P Vijayan
  • Neema George
  • Nimmymol Manuel

Abstract

Floods are one of the most commonplace natural failures that influences humanity. Unless we take the proper precautions, it'll endanger human existence itself. Flood prediction the usage of IoT enabled sensor network and system getting to know outlines a totally green manner to nicely recognize and manage floods. This generation may be used to evaluate the risk of flooding, there by way of rushing up precautionary measures. IoT is a network of computing devices By using distinctive sensors, statistics approximately numerous environmental conditions had been gathered and switch it to google sheet with the help of IoT era. The client can examine the statistics in the form of dataset from a far off device and predict the danger of flood.

Suggested Citation

  • Neena Joseph & Vinodh P Vijayan & Neema George & Nimmymol Manuel, 2018. "IoT Enabled Sensor Network and Machine Learning," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 3(3), pages 2164-2168, April.
    • Handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit182016
    Note: Article URL: https://ijsrcseit.com/CSEIT182016
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT182016
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/paper/CSEIT182016.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v3:y2018:i3:id:hcseit182016. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.