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Active Power Error Comparison Between AFWATSMC and ASMC Algorithms under DPSMC algorithm.
Published 2025Subjects: -
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Supplementary file 1_Optimizing quantum convolutional neural network architectures for arbitrary data dimension.pdf
Published 2025“…., the number of features) of the input data that can be processed, restricting the applicability of QCNN algorithms to real-world data. To address this issue, we propose a QCNN architecture capable of handling arbitrary input data dimensions while optimizing the allocation of quantum resources such as ancillary qubits and quantum gates. …”
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AC output current waveform comparison between AFWATSMC and ASMC algorithms.
Published 2025Subjects: -
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Comparison of DC output voltage error signal for AFWATSMC and ASMC algorithms.
Published 2025Subjects: -
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Output AC voltage waveform of phase A under both AFWATSMC and ASMC control algorithms.
Published 2025Subjects: -
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Efficient Sampling From the Watson Distribution in Arbitrary Dimensions
Published 2024“…<p>In this article, we present two efficient methods for sampling from the Watson distribution in arbitrary dimensions. The first method adapts the rejection sampling algorithm from <i>Kent, Ganeiber, and Mardia</i>, originally designed for Bingham distributions, using angular central Gaussian envelopes. …”
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EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit
Published 2025“…In medicinal chemistry, they are the basis for analyzing ligand–biomacromolecule interactions. Ertl’s algorithm is an approach to extract functional groups in arbitrary organic molecules that does not depend on predefined libraries of functional groups. …”