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Published in 2017 at "Scientific Reports"
DOI: 10.1038/s41598-017-12586-y
Abstract: Network embedding which encodes all vertices in a network as a set of numerical vectors in accordance with it’s local and global structures, has drawn widespread attention. Network embedding not only learns significant features of…
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Keywords:
network;
algorithms based;
network embedding;
random walks ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2963935
Abstract: This paper considers the problem of spectrum sensing in multi-antenna cognitive radio networks. Energy detection (ED) method for spectrum sensing does not require any information of the source signal and channel, as well as it…
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Keywords:
random matrix;
matrix;
algorithms based;
energy ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3142742
Abstract: This paper develops a novel methodology for optimal control of islanded microgrids (MGs) based on the coot bird metaheuristic optimizer (CBMO). To this end, the optimum gains for the PI controller are found using the…
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Keywords:
bird algorithms;
system;
algorithms based;
methodology ... See more keywords
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Published in 2021 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v22.i2.pp1177-1190
Abstract: Digital image forgery (DIF) is the act of deliberate alteration of an image to change the details transmitted by it. The manipulation may either add, delete or alter any of the image features or contents,…
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Keywords:
move forgery;
copy move;
algorithms based;
image ... See more keywords
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Published in 2018 at "Radioengineering"
DOI: 10.13164/re.2018.0270
Abstract: Adaptive filters are extensively used in the identification of an unknown system. Unlike several gradientsearch based adaptive filtering techniques, the Lyapunov Theory-based Adaptive Filter offers improved convergence and stability. When the system is described by…
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Keywords:
system;
algorithms based;
novel sparse;
identification ... See more keywords