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coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
present data » presence data (Expand Search), present day (Expand Search), recent data (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
present data » presence data (Expand Search), present day (Expand Search), recent data (Expand Search)
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Comparison of power consumption in optical and silicon-based neural network implementations.
Published 2024Subjects: -
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Explained variance ration of the PCA algorithm.
Published 2025“…These classification algorithms often requires conversion of a medical data to another space in which the original data is reduced to important values or moments. …”
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Hardware_code.
Published 2025“…In this paper, the modified Fitzhugh-Nagumo (FHN) model is proposed based on Coordinate Rotation Digital Computer (CORDIC) algorithm to emulate biological behaviors of the original neuron model. …”
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Software_code.
Published 2025“…In this paper, the modified Fitzhugh-Nagumo (FHN) model is proposed based on Coordinate Rotation Digital Computer (CORDIC) algorithm to emulate biological behaviors of the original neuron model. …”
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Data collision free processing unit.
Published 2025“…This work presents an FPGA implementation of conflict-free and pipelined single-path delay feedback based NTT core for Kyber by employing various architectural optimizations including pipelining, resource sharing and algorithmic optimizations like multiplier-less Montgomery reduction algorithm. …”
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8-point DIT NTT data flow.
Published 2025“…This work presents an FPGA implementation of conflict-free and pipelined single-path delay feedback based NTT core for Kyber by employing various architectural optimizations including pipelining, resource sharing and algorithmic optimizations like multiplier-less Montgomery reduction algorithm. …”
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Different implementations on MNIST object detection accuracy (%) with input image size.
Published 2024Subjects: -
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Implementation of distance computation between an object and mental representation under the NGM.
Published 2025Subjects: -
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Accuracy of different electrical and optical neural networks for various input noise levels.
Published 2024Subjects: