بدائل البحث:
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm from » algorithm flow (توسيع البحث)
from function » from functional (توسيع البحث), fc function (توسيع البحث)
algorithm a » algorithms a (توسيع البحث), algorithm _ (توسيع البحث), algorithm b (توسيع البحث)
a function » _ function (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm from » algorithm flow (توسيع البحث)
from function » from functional (توسيع البحث), fc function (توسيع البحث)
algorithm a » algorithms a (توسيع البحث), algorithm _ (توسيع البحث), algorithm b (توسيع البحث)
a function » _ function (توسيع البحث)
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Interval type-2 membership function for speed.
منشور في 2025"…<div><p>In this study, we present an algorithm to estimate the distance between a vehicle and a target object using light from headlights captured by a camera. …"
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Interval type-2 membership function for distance.
منشور في 2025"…<div><p>In this study, we present an algorithm to estimate the distance between a vehicle and a target object using light from headlights captured by a camera. …"
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144
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145
Test results of multimodal benchmark functions.
منشور في 2025"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"
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146
Fixed-dimensional multimodal reference functions.
منشور في 2025"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"
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147
Test results of multimodal benchmark functions.
منشور في 2025"…Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"
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148
Fitness function over the 50 runs.
منشور في 2025"…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …"
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149
Fitness function over the 50 runs.
منشور في 2025"…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …"
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150
Fitness function over the 50 runs.
منشور في 2025"…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …"
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