Development and optimization of deep convolutional neural network using Taguchi method for real-time electricity conservation system

Conservation of energy is imperative for the development of the country. The critical electrical energy situation is one of the immense challenges in the developing nations of the globe. Though there are many ways of preservations, one of the simplest and efficient ways is to turn off the electricit...

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Vydané v:	International journal of information technology (Singapore. Online) Ročník 15; číslo 3; s. 1521 - 1534
Hlavní autori:	Ushasukhanya, S., Jothilakshmi, S., Sridhar, S. S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Singapore Springer Nature Singapore 01.03.2023 Springer Nature B.V
Predmet:	Artificial Intelligence Artificial neural networks Cameras Closed circuit television Computer Imaging Computer Science Energy consumption Image Processing and Computer Vision Indoor environments Machine Learning Neural networks Optimization Original Research Orthogonal arrays Parameters Pattern Recognition and Graphics Real time Sensors Software Engineering Taguchi methods Vision Smart electrical energy consumption CNN Nadam CCTV Arduino E-OATM
ISSN:	2511-2104, 2511-2112
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