This paper uses DL models followed by a vision transformer model (ViTM) to extract multilevel features to focus more on the disease-infected area on the plant with enhanced accuracy, and proves that InceptionV3 outperforms the other models.
P. Ashwini, D. Mythili, P. Jyothi et al.· International Journal of Adv...· 0 citations
A hybrid intelligent framework for fault diagnosis and localization in modern power distribution systems, addressing challenges such as noisy measurements, high-impedance faults (HIF), and uncertain operating conditions is presented, combining the strengths of deep learning, machine learning, and soft computing.
Deepa Somasundaram, M. Sowmya, R. Priya et al.· International Journal of Pow...· 0 citations
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