بدائل البحث:
algorithm harding » algorithm using (توسيع البحث), algorithm machine (توسيع البحث), algorithm showing (توسيع البحث)
harding function » hardening function (توسيع البحث), hearing functions (توسيع البحث), varying functions (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث)
algorithm both » algorithm blood (توسيع البحث), algorithm b (توسيع البحث), algorithm etc (توسيع البحث)
algorithm harding » algorithm using (توسيع البحث), algorithm machine (توسيع البحث), algorithm showing (توسيع البحث)
harding function » hardening function (توسيع البحث), hearing functions (توسيع البحث), varying functions (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث)
algorithm both » algorithm blood (توسيع البحث), algorithm b (توسيع البحث), algorithm etc (توسيع البحث)
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141
The computational results of the case.
منشور في 2025"…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"
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142
Working time of different processes (<i>h</i>).
منشور في 2025"…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"
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143
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144
The parameters of simulation scenarios.
منشور في 2025"…However, solving the RNP problem in WMN is difficult because it is NP-hard. As a result, this problem can only be solved using approximate optimization algorithms such as heuristics and meta-heuristics. …"
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145
S1 Dataset -
منشور في 2025"…However, solving the RNP problem in WMN is difficult because it is NP-hard. As a result, this problem can only be solved using approximate optimization algorithms such as heuristics and meta-heuristics. …"
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146
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147
PyNoetic’s online mode in action. Data is streamed from an Emotiv EPOC headset.
منشور في 2025الموضوعات: -
148
Illustration of PyNoetic’s 2D and 3D simulation module with visual feedback.
منشور في 2025الموضوعات: -
149
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150
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151
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152
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153
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154
PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA.
منشور في 2025الموضوعات: -
155
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156
Illustration of recording paradigm with PyNoetic’s Stimuli generation and recording module.
منشور في 2025الموضوعات: -
157
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158
MEDOC: A Fast, Scalable, and Mathematically Exact Algorithm for the Site-Specific Prediction of the Protonation Degree in Large Disordered Proteins
منشور في 2025"…We show that we can drastically reduce the number of parameters necessary to determine the full, analytical Boltzmann partition function of the charge landscape at both global and site-specific levels. …"
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159
Contrast enhancement of digital images using dragonfly algorithm
منشور في 2024"…Comparisons with state-of-art methods ensure the superiority of the proposed algorithm. The Python implementation of the proposed approach is available in this <a href="https://github.com/somnath796/DA_contrast_enhancement" target="_blank">Github repository</a>.…"
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160