Search alternatives:
algorithm three » algorithm where (Expand Search), algorithm pre (Expand Search)
three function » three functional (Expand Search), tree functional (Expand Search), time function (Expand Search)
using function » using functional (Expand Search), sine function (Expand Search), waning function (Expand Search)
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm etc (Expand Search)
both function » body function (Expand Search), growth function (Expand Search), beach function (Expand Search)
algorithm three » algorithm where (Expand Search), algorithm pre (Expand Search)
three function » three functional (Expand Search), tree functional (Expand Search), time function (Expand Search)
using function » using functional (Expand Search), sine function (Expand Search), waning function (Expand Search)
algorithm both » algorithm blood (Expand Search), algorithm b (Expand Search), algorithm etc (Expand Search)
both function » body function (Expand Search), growth function (Expand Search), beach function (Expand Search)
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161
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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162
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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163
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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164
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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165
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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166
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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167
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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168
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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169
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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170
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171
Flowchart of proposed algorithm.
Published 2025“…Moreover, the proposed algorithm significantly extends network lifetime, with a <b>3.5%</b> and <b>7.5%</b> improvement over EAPS-AODV and AODV. …”
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172
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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