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Design of energy efficient lighting loads in EEE block at GCE, Salem
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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 β Capsnet to improve the accuracy of the output. It provides faster information supply to the user, collect accurate flood event and in cost β 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.
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, βDesign of energy efficient lighting loads in EEE block at GCE, Salem,β International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering (IJIREEICE), DOI: 10.17148/IJIREEICE.2020.8813
