Intelligent Fault Diagnosis Using Deep Learning for a Microgrid with High Penetration of Renewable Energy Sources

Kandasamy, Latha Maheswari; Kanakaraj, J.

doi:10.1080/15325008.2023.2168091

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Cited by 5 publications

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“…One of their main disadvantages is that these devices tend to occupy a lot of space, which limits their adoption. Other factors such as faster response times and lower costs are also needed to make these systems grow (Dhandapani et al 2023). One of the main disadvantages of using low-cost cameras is that they only produce low-quality images due to their low resolution.…”

Section: Introductionmentioning

confidence: 99%

Soft computing approach for feature extraction of palm biometric

Shende,

Shinde,

Wadhwa

et al. 2023

Multidiscip. Sci. J.

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The method for developing a secure and reliable identification system relies on the use of biometrics. In this case, the palm vein is used as a security measure. The proposed system is powered by a convolutional neural network, which is a type of neural network that is commonly utilized for image recognition. The palm vein's visual features are extracted using a convolutional neural network. This method can improve the recognition rate and its performance parameters. The results of an experiment conducted with this method were better than those obtained with conventional techniques.

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Section: Introductionmentioning

confidence: 99%