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by
Tan, Xin, author.
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theoretical model, system design, and control algorithms are presented. The proposed systems are validated by
by
Wang, Tianjian, author.
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Nowadays in the smart grid application area, intelligent algorithms are widely utilized to control
by
Cakir, Burcin, author.
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engineering where we present two algorithms to infer high-level blocks in an untrusted circuit by using a
by
Araseethota Manjunatha, Koushik, author.
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in the long term we use several machine learning algorithms in spectrum decision and compare it with
by
Patel, Sahil S., author.
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management algorithms.
by
Hopper, Matthew S., author.
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With continued development needed in the signal processing algorithms, the eye-gaze tracking
by
Sturm, Gregory D., author.
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researchers have developed numerous MPPT algorithms, most of which rely on two or more sensors to track a
by
Holloway, Joshua Keegan, author.
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fidelity. One way to improve the efficiency of such algorithms to meet real-time constraints is to use
by
Thawdar, Ngwe, author.
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propose a novel system architecture and algorithms to overcome these challenges and extend the effective
by
Gunn, Cameron Allan, author.
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The methods are solved using proximal algorithms, a family of first-order convex optimization
by
Duanmu, Fanyi, author.
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preserving the coding efficiency. For encoding acceleration, machine learning based fast algorithms are
by
Duan, Jiajun, author. (orcid)0000-0001-7041-0978
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, further research of microgrids will be conducted to develop the improved control algorithms with cyber

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