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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search)
python function » protein function (Expand Search)
algorithm three » algorithm where (Expand Search), algorithm pre (Expand Search)
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm etc (Expand Search)
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141
The flow chart of the proposed PSOGSAHO scenario.
Published 2023“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”
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142
Flowchart of weighting using the AHP method.
Published 2023“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”
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143
Power consumption versus number of users.
Published 2023“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”
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144
RI value according to the number of attributes.
Published 2023“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”
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145
Weights for data application.
Published 2023“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”
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146
Ping-Pong percentage results.
Published 2023“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”
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147
Power consumption versus number of time samples.
Published 2023“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”
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148
Power consumption results.
Published 2023“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”
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149
Load distribution versus number of users.
Published 2023“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”
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150
Load distribution versus number of time samples.
Published 2023“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”
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151
Weights for voice application.
Published 2023“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”
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152
Flowchart of weighting using the entropy method.
Published 2023“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”
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153
Candidate networks selection percentages.
Published 2023“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”
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154
Ping-Pong percentage results.
Published 2023“…Lastly, the desired aims are formulated as an objective function, then the PSOGSA algorithm is used to reach the optimal values of both LF and SP, which will be considered when executing the handover algorithm. …”
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155
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156
Exploration of Bioinspired Algorithms in Multithreshold Image Segmentation for Medical Images
Published 2024“…</p><p dir="ltr">In this context, brain image segmentation becomes a critical tool for accurately delineating anatomical and pathological structures, facilitating both diagnosis and therapeutic planning. Segmentation is carried out in an unsupervised manner using techniques such as Kapur entropy, Tsallis entropy, and the multilevel Otsu method, supported by metaheuristic optimization algorithms that aim to determine the most effective segmentation thresholds</p>…”
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157
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158
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159
BOFdat Step 3: Identifying species-specific metabolic end goals.
Published 2019“…<p>(A) After Step 3, the entire weight of the cell is accounted for by BOFdat. …”
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160