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Year: 2021, Volume: 21, Number: 3
... deep CNN network to classify diabetic experiments, they tested that computerized hyper-parameter retinopathy in the retinal eye image. Gen-Min et al. [6] optimization is a powerful method for improving overall proposed a computer aided technique based on deep performance in transfer learning. learning to detect and classify diabetic retinopathy disease. This method compares ...
Year: 2021, Volume: 21, Number: 3
... Alexa, "The top 500 sites on the web," [33] R. Rohith, M. Moharir, and G. Shobha, "SCAPY-A powerful https://www.alexa.com/topsites (Accessed on February 17, 2019) interactive packet manipulation program," in Proc. International [23] J ...
Year: 2021, Volume: 21, Number: 3
... Number 3, 2021 causes overhead on the controller. This is because having a large number of OpenFlow switches causes conflict at the data layer which demands high processing power. Because we cannot conclude with certainty why the Mininet emulator exhibited such large throughput drops, we decided to do the same simulations three more times to confirm ...
Year: 2021, Volume: 21, Number: 3
... ) of degree q for the data in y regression in higher degree polynomial equation. Hence, the [21]. The coefficients in p are in descending powers, and the proposed MFVS is implemented with higher polynomial length of p is q+ 1, which can be denoted by Equation (1 ), degree ...
Year: 2021, Volume: 21, Number: 3
... Advances in Electrical and Computer Engineering Volume 21, Number 3, 2021 A Power Electronic Traction Transformer Model for a New Medium Voltage DC Electric Railway Izsák FERENCZ, Dorin PETREUȘ Department of Applied Electronics, Technical University of Cluj-Napoca, 400027, Romania izsak.ferencz@ael.utcluj.ro 1 Abstract — All state-of-the-art Power Electronic Traction model and simulations ...
Year: 2021, Volume: 21, Number: 3
... [10], among others, as well Maximum Power Point Tracking goals of a grid-tied single- as ... P&O and IC A comparison among the extracted powers using MPPT algorithms were used in this comparison. ... fast nonlinear observer and DC voltage sensor is presented in convergence during the PV power estimation for both Fig. ...
Year: 2021, Volume: 21, Number: 3
... 21, Number 3, 2021 A Novel Enhanced Active Power Control Maximum Power Point Tracking Algorithm for Photovoltaic Grid ... output MPPT mode to APC by taking the two set powers Pset1 and power (Pdc) of Conventional APC ... Pires and J. Martins, Pset Set power "Low-power home PV systems with MPPT and PC control modes ...
Year: 2021, Volume: 21, Number: 3
... , the integral term introduction significantly Index Terms — estimation, frequency locked loops, nonlinear deteriorates the resulting QSG dynamic performance. control systems, phase locked loops, power conversion. In another previous study [12], an intrinsic SOGI feature is exploited that enables DC offset compensation by I. INTRODUCTION combining the corresponding internal ...
Year: 2021, Volume: 21, Number: 3
... question. In particular, we Deep neural networks (DNNs) are a very powerful tool analyze two cases: designing the µ-law logarithmic [1-2], widely ... . Wu, G. Li, "GXNOR-Net: Training deep Develop Real-World Applications Powered by the Latest AI neural networks with ternary weights and activations without full- ...
Year: 2021, Volume: 21, Number: 2
... programmable logic controllers (PLC). speed transfer of essential load to the alternate power source A static transfer switch (STS) has been proposed in recent when ... Symmetrical components- "Characterization of term and preterm deliveries using based modified technique for power-quality disturbances detection electrohysterograms signatures," in 2019 IEEE 10th Annual and classification, ...
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