بدائل البحث:
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
flow function » from function (توسيع البحث), low functional (توسيع البحث), loss function (توسيع البحث)
algorithm spc » algorithm etc (توسيع البحث), algorithm pca (توسيع البحث), algorithm seu (توسيع البحث)
spc function » _ function (توسيع البحث), a function (توسيع البحث), i function (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
flow function » from function (توسيع البحث), low functional (توسيع البحث), loss function (توسيع البحث)
algorithm spc » algorithm etc (توسيع البحث), algorithm pca (توسيع البحث), algorithm seu (توسيع البحث)
spc function » _ function (توسيع البحث), a function (توسيع البحث), i function (توسيع البحث)
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161
Data Sheet 1_Investigating neural markers of Alzheimer's disease in posttraumatic stress disorder using machine learning algorithms and magnetic resonance imaging.pdf
منشور في 2024"…The objective of this study was to identify structural and functional neural changes in patients with PTSD that may contribute to the future development of AD.…"
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162
Mathematical modeling for the efficiency function of the Retiro small hydroelectric power plant turbine-generator set
منشور في 2024"…The Hessian matrix technique was also used to verify the critical points of the function. The critical point corresponding to a water head of 11.47 meters and a turbine flow of 145.1 m<sup>3</sup>/s presented the highest operational efficiency. …"
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163
Data Sheet 1_Simplified two-compartment neuron with calcium dynamics capturing brain-state specific apical-amplification, -isolation and -drive.pdf
منشور في 2025"…A machine learning evolutionary algorithm, guided by a set of fitness functions, selected parameters defining neurons that express the desired apical dendritic mechanisms. …"
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164
SPSS Data File for Sample 1.
منشور في 2025"…The response functions switch attention and processing to what is likely to be helpful in alleviating suffering, distress and need, called action. …"
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165
Indices of fit for two three-factor models.
منشور في 2025"…The response functions switch attention and processing to what is likely to be helpful in alleviating suffering, distress and need, called action. …"
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166
SPSS Data File for Sample 3.
منشور في 2025"…The response functions switch attention and processing to what is likely to be helpful in alleviating suffering, distress and need, called action. …"
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167
SPSS Data File for Sample 2.
منشور في 2025"…The response functions switch attention and processing to what is likely to be helpful in alleviating suffering, distress and need, called action. …"
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168
Nguyen Dupuis Network.
منشور في 2025"…Then, the upper-level model is solved using improved whale optimization, and the lower-level model is solved using improved Frank-Wolfe algorithm. The results showed that the accuracy and recall of the proposed improved whale optimization algorithm on the Iris dataset were 95.27% and 92.65%, respectively, which were superior to traditional whale optimization algorithm, moth flame optimization algorithm, moth flame optimization algorithm combined with chaos strategy, and adaptive firefly optimization algorithm. …"
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169
Relative error iteration curve.
منشور في 2025"…Then, the upper-level model is solved using improved whale optimization, and the lower-level model is solved using improved Frank-Wolfe algorithm. The results showed that the accuracy and recall of the proposed improved whale optimization algorithm on the Iris dataset were 95.27% and 92.65%, respectively, which were superior to traditional whale optimization algorithm, moth flame optimization algorithm, moth flame optimization algorithm combined with chaos strategy, and adaptive firefly optimization algorithm. …"
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170
Schematic diagram of spiral update.
منشور في 2025"…Then, the upper-level model is solved using improved whale optimization, and the lower-level model is solved using improved Frank-Wolfe algorithm. The results showed that the accuracy and recall of the proposed improved whale optimization algorithm on the Iris dataset were 95.27% and 92.65%, respectively, which were superior to traditional whale optimization algorithm, moth flame optimization algorithm, moth flame optimization algorithm combined with chaos strategy, and adaptive firefly optimization algorithm. …"
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171
The architecture of the BLPM.
منشور في 2025"…Then, the upper-level model is solved using improved whale optimization, and the lower-level model is solved using improved Frank-Wolfe algorithm. The results showed that the accuracy and recall of the proposed improved whale optimization algorithm on the Iris dataset were 95.27% and 92.65%, respectively, which were superior to traditional whale optimization algorithm, moth flame optimization algorithm, moth flame optimization algorithm combined with chaos strategy, and adaptive firefly optimization algorithm. …"
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172
Specific parameters of Nguyen-Dupuis network.
منشور في 2025"…Then, the upper-level model is solved using improved whale optimization, and the lower-level model is solved using improved Frank-Wolfe algorithm. The results showed that the accuracy and recall of the proposed improved whale optimization algorithm on the Iris dataset were 95.27% and 92.65%, respectively, which were superior to traditional whale optimization algorithm, moth flame optimization algorithm, moth flame optimization algorithm combined with chaos strategy, and adaptive firefly optimization algorithm. …"
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173
Road saturation and total travel cost.
منشور في 2025"…Then, the upper-level model is solved using improved whale optimization, and the lower-level model is solved using improved Frank-Wolfe algorithm. The results showed that the accuracy and recall of the proposed improved whale optimization algorithm on the Iris dataset were 95.27% and 92.65%, respectively, which were superior to traditional whale optimization algorithm, moth flame optimization algorithm, moth flame optimization algorithm combined with chaos strategy, and adaptive firefly optimization algorithm. …"
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174
Schematic diagram of shrink wrap.
منشور في 2025"…Then, the upper-level model is solved using improved whale optimization, and the lower-level model is solved using improved Frank-Wolfe algorithm. The results showed that the accuracy and recall of the proposed improved whale optimization algorithm on the Iris dataset were 95.27% and 92.65%, respectively, which were superior to traditional whale optimization algorithm, moth flame optimization algorithm, moth flame optimization algorithm combined with chaos strategy, and adaptive firefly optimization algorithm. …"
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175
Road density and connected vehicle road sections.
منشور في 2025"…Then, the upper-level model is solved using improved whale optimization, and the lower-level model is solved using improved Frank-Wolfe algorithm. The results showed that the accuracy and recall of the proposed improved whale optimization algorithm on the Iris dataset were 95.27% and 92.65%, respectively, which were superior to traditional whale optimization algorithm, moth flame optimization algorithm, moth flame optimization algorithm combined with chaos strategy, and adaptive firefly optimization algorithm. …"
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176
Data Sheet 3_Continuous wavelet based transfer function analysis of cerebral autoregulation dynamics for neuromonitoring using near-infrared spectroscopy.pdf
منشور في 2025"…Wavelet transfer function analysis can be employed to estimate coherence, gain and phase relationship between two signals without these restrictions.…"
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177
Data Sheet 1_Continuous wavelet based transfer function analysis of cerebral autoregulation dynamics for neuromonitoring using near-infrared spectroscopy.pdf
منشور في 2025"…Wavelet transfer function analysis can be employed to estimate coherence, gain and phase relationship between two signals without these restrictions.…"
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178
Data Sheet 2_Continuous wavelet based transfer function analysis of cerebral autoregulation dynamics for neuromonitoring using near-infrared spectroscopy.pdf
منشور في 2025"…Wavelet transfer function analysis can be employed to estimate coherence, gain and phase relationship between two signals without these restrictions.…"
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179
Data Sheet 4_Continuous wavelet based transfer function analysis of cerebral autoregulation dynamics for neuromonitoring using near-infrared spectroscopy.pdf
منشور في 2025"…Wavelet transfer function analysis can be employed to estimate coherence, gain and phase relationship between two signals without these restrictions.…"
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180
<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043)
منشور في 2025"…<p dir="ltr">This dataset contains the data used in the article <a href="https://academic.oup.com/aob/advance-article/doi/10.1093/aob/mcaf043/8074229" rel="noreferrer" target="_blank">"Machine Learning and digital Imaging for Spatiotemporal Monitoring of Stress Dynamics in the clonal plant Carpobrotus edulis: Uncovering a Functional Mosaic</a>", which includes the complete set of collected leaf images, image features (predictors) and response variables used to train machine learning regression algorithms.…"