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International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering
International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2321-2004ISSN Print 2321-5526Since 2013
IJIREEICE meets the suggestive parameters outlined in the latest University Grants Commission (UGC) for peer-reviewed journals, ensuring high standards of research integrity, publication ethics, and academic excellence.
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Design of energy efficient lighting loads in EEE block at GCE, Salem

Prof.R.Sharmil Suganya, Ravichandran P, Sasirani R, Sridhar R, Vajayakumar R, Vinoth Kannan M

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Abstract: Flood are the most common type of natural disaster, and causes thousands of casualities every year in the world. Flood causes approximately 30% loss in total disaster. In this article, We have shown to save lives, where a Novel Image Classification techniques for Satellite images using Modified CNN – Capsnet to improve the accuracy of the output. It provides faster information supply to the user, collect accurate flood event and in cost – effective manner, The proposed work helps to classify the inundates areas efficiently in order to estimate and plain relief work rapidly.

Keywords: Deep learning, Capsule Network, Image classification, Object detection, Satellite images.

How to Cite:

[1] Prof.R.Sharmil Suganya, Ravichandran P, Sasirani R, Sridhar R, Vajayakumar R, Vinoth Kannan M, β€œDesign of energy efficient lighting loads in EEE block at GCE, Salem,” International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2020.8813

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