Search alternatives:
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), routing algorithm (Expand Search)
spatial finding » spatial thinking (Expand Search), spatial thinning (Expand Search), spatial biasing (Expand Search)
element » elements (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), routing algorithm (Expand Search)
spatial finding » spatial thinking (Expand Search), spatial thinning (Expand Search), spatial biasing (Expand Search)
element » elements (Expand Search)
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Comparison of power consumption in optical and silicon-based neural network implementations.
Published 2024Subjects: -
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Accuracy of different electrical and optical neural networks for various input noise levels.
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Accuracy of different electrical and optical neural network on Caltech and ETH-80 data sets.
Published 2024Subjects: -
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Evaluating and mapping spatial drought in northeast Thailand: utilizing analytic hierarchy process and random forest algorithms
Published 2025“…The AHP model achieved an overall accuracy (OA) of 85.19%, aligning closely with the RF model, which had an OA of 88.89%. The RF algorithm effectively mapped spatial drought events with high accuracy, as confirmed by comparisons with rainfall data. …”
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Coprime array with interpolated array elements.
Published 2024“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”
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