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 i » algorithm ai (توسيع البحث), algorithm _ (توسيع البحث), algorithm b (توسيع البحث)
i function » _ function (توسيع البحث), a function (توسيع البحث), link 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 i » algorithm ai (توسيع البحث), algorithm _ (توسيع البحث), algorithm b (توسيع البحث)
i function » _ function (توسيع البحث), a function (توسيع البحث), link function (توسيع البحث)
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One SKINNY encryption round.
منشور في 2024"…These devices gather information from their environment and send it across a network. …"
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Flowchart of proposed fitness function algorithm.
منشور في 2025"…The mathematical model was transformed into a fitness function and a solution was provided with the Tabu Search Algorithm and Simulated Annealing. …"
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S1 Data -
منشور في 2025"…This paper proposes a CGO risk prediction method based on data augmentation and a neuroevolution algorithm, denoted as ANEAT. First, sample features are applied to the transfer function using a pointwise intensity transformation to obtain new feature samples. …"
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Accelerated MPC Algorithms and Augmented System Design for Legged Robots
منشور في 2025"…The approach is powered by a newly introduced algorithm, named the modified Recursive Newton Euler Algorithm~(mRNEA), which is inspired by classical RNEA, and computes the dynamics information pre-multiplied with a fixed vector. …"
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The structure of an I-beam.
منشور في 2025"…<div><p>Whale Optimization Algorithm (WOA) suffers from issues such as premature convergence, low population diversity in the later stages of iteration, slow convergence rate, low convergence accuracy, and an imbalance between exploration and exploitation. …"
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Data Sheet 1_Hybrid machine learning algorithms accurately predict marine ecological communities.pdf
منشور في 2025"…In the supervised stage, these associations were modeled as a function of the environmental features by five supervised algorithms (Support Vector Machine, Random Forest, k-Nearest Neighbors, Naive Bayes, and Stochastic Gradient Boosting), using 80% of the samples for training, leaving the remaining for testing. …"
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