Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
time functional » wide functional (Expand Search), time function (Expand Search), state functional (Expand Search)
python function » protein function (Expand Search)
algorithm time » algorithm i (Expand Search), algorithm ai (Expand Search), algorithm pre (Expand Search)
algorithm a » algorithm _ (Expand Search), algorithm b (Expand Search), algorithms _ (Expand Search)
a function » _ function (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
time functional » wide functional (Expand Search), time function (Expand Search), state functional (Expand Search)
python function » protein function (Expand Search)
algorithm time » algorithm i (Expand Search), algorithm ai (Expand Search), algorithm pre (Expand Search)
algorithm a » algorithm _ (Expand Search), algorithm b (Expand Search), algorithms _ (Expand Search)
a function » _ function (Expand Search)
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a) FO Function, b) FI function.
Published 2023“…The SRL32 primitive (Reconfigurable Look up Tables—RLUTs) and DPR (Dynamic Partial Reconfiguration) are employed to reconfigure single round MISTY1 / KASUMI algorithms on the run-time. The RLUT based architecture attains dynamic logic functionality without extra hardware resources by internally modifying the LUT contents. …”
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Comparison of algorithm search curves.
Published 2023“…At the same time, the characteristics of Gaussian function are introduced to ensure the activity of hidden layer neurons. …”
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Median average filtering algorithm.
Published 2023“…<div><p>In order to improve the hardware configuration and interaction mode of the fish tank system and realize the diversification of client functions, the purpose of real-time remote monitoring and management is achieved. …”
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Optimization flow chart of the AO algorithm.
Published 2024“…<div><p>An Aquila optimizer-back propagation (AO-BP) neural network was used to establish an approximate model of the relationship between the design variables and the optimization objective to improve elevator block brake capabilities and achieve a lightweight brake design. Subsequently, the constraint conditions and objective functions were determined. …”
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Ms.FPOP: A Fast Exact Segmentation Algorithm with a Multiscale Penalty
Published 2024“…<p>Given a time series in <math><mrow><mrow><mi>R</mi></mrow><mi>n</mi></mrow></math> with a piecewise constant mean and independent noises, we propose an exact dynamic programming algorithm for minimizing a least-squares criterion with a multiscale penalty, favoring well-spread changepoints. …”
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The run time for each algorithm in seconds.
Published 2025“…<div><p>In this paper, we study a class of non-parametric regression models for predicting graph signals as a function of explanatory variables . …”
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The average time slots for all algorithms.
Published 2023“…The proposed method uses opposition-based learning to boost population diversity. And a new approach to calculate the prey escape energy is proposed to improve the convergence speed of the algorithm. …”
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