Search alternatives:
flow function » from function (Expand Search), low functional (Expand Search), loss function (Expand Search)
algorithm fc » algorithm etc (Expand Search), algorithm pca (Expand Search), algorithms mc (Expand Search)
algorithm b » algorithm _ (Expand Search), algorithms _ (Expand Search)
fc function » _ function (Expand Search), a function (Expand Search), 1 function (Expand Search)
b function » _ function (Expand Search), a function (Expand Search), 1 function (Expand Search)
flow function » from function (Expand Search), low functional (Expand Search), loss function (Expand Search)
algorithm fc » algorithm etc (Expand Search), algorithm pca (Expand Search), algorithms mc (Expand Search)
algorithm b » algorithm _ (Expand Search), algorithms _ (Expand Search)
fc function » _ function (Expand Search), a function (Expand Search), 1 function (Expand Search)
b function » _ function (Expand Search), a function (Expand Search), 1 function (Expand Search)
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Prediction performance of different optimization algorithms.
Published 2021“…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …”
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VFH algorithm flow chart.
Published 2023“…In this paper, we mainly propose an obstacle avoidance method composed of three modules: environment perception, algorithm obstacle avoidance and motion control. Our method realizes the function of reasonable and safe obstacle avoidance of UAV in low-altitude complex environments. …”
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Brief sketch of the quasi-attraction/alignment algorithm.
Published 2023“…(D) A brief sketch of the avoidance algorithm. Upper: Each direction is extended to the repulsion area = {<b><i>r</i></b>||<b><i>r</i></b>| = <i>R</i>}, where is the minimal sphere cap that covers all points on . …”
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Algorithmic flow of the verifiable delay function.
Published 2024“…<p>Algorithmic flow of the verifiable delay function.</p>…”
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Work flow chart.
Published 2024“…To overcome these limitations, this paper developed a simple and fast adaptive remote sensing image Spatio-Temporal fusion method based on Fit-FC, called Adapt Lasso-Fit-FC (AL-FF). Firstly, the sparse characteristics of time phase change between images are explored, and a time phase change estimation model based on sparse regression is constructed, which overcomes the fuzzy problem of fusion image caused by the failure of linear regression to capture complex nonlinear time phase transition in the weighted Function method, making the algorithm better at capturing details. …”