Search alternatives:
complement based » complement past (Expand Search), complement cascade (Expand Search), complement system (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
each algorithm » search algorithm (Expand Search), means algorithm (Expand Search)
complement based » complement past (Expand Search), complement cascade (Expand Search), complement system (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
each algorithm » search algorithm (Expand Search), means algorithm (Expand Search)
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Comparison of power consumption in optical and silicon-based neural network implementations.
Published 2024Subjects: -
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Encryption and decryption time (unit: Seconds).
Published 2025“…Based on previous various chaotic image fast encryption algorithms, this paper proposes a color image sector fast encryption algorithm based on one-dimensional composite sinusoidal chaotic mapping. …”
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Accuracy of different electrical and optical neural networks for various input noise levels.
Published 2024Subjects: -
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The ANFIS algorithm details.
Published 2025“…These selected stocks are then moved to the second stage, where the ANFIS algorithm is employed in MATLAB to predict the final closing prices and calculate the prediction error (RMSE). …”
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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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Flowchart of the GAN–BWGNN HAD algorithm.
Published 2025“…This algorithm treats each pixel as a node in a graph, where edges represent pixel correlations and node attributes correspond to spectral features. …”
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Regularized Second-Order Møller–Plesset Theory: Linear Scaling Implementation and Assessment on Large-Molecule Problems
Published 2025“…The algorithm uses a single numerical threshold to control accuracy, which is demonstrated to yield a roughly 10-fold reduction in numerical error for each factor of 10 reduction in the threshold. …”
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Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks
Published 2025“…Our method supports multiple spikes per neuron and introduces a delay learning algorithm that can, in contrast to previous methods, also be applied to recurrent Spiking Neural Networks. …”
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Code and data for the paper "Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms"
Published 2025“…<p dir="ltr">Code and data for analysis detailed in the paper "Investigating machine learning algorithms to classify label-free images of pancreatic neuroendocrine neoplasms." …”