بدائل البحث:
within function » fibrin function (توسيع البحث), python function (توسيع البحث), protein function (توسيع البحث)
algorithm both » algorithm blood (توسيع البحث), algorithm b (توسيع البحث), algorithm etc (توسيع البحث)
both function » body function (توسيع البحث), growth function (توسيع البحث), beach 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)
within function » fibrin function (توسيع البحث), python function (توسيع البحث), protein function (توسيع البحث)
algorithm both » algorithm blood (توسيع البحث), algorithm b (توسيع البحث), algorithm etc (توسيع البحث)
both function » body function (توسيع البحث), growth function (توسيع البحث), beach 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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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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The ALO algorithm optimization flowchart.
منشور في 2024"…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …"
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The IALO algorithm solution flowchart.
منشور في 2024"…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …"
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Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional
منشور في 2025"…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. …"
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F1-scores of anomaly detection algorithms.
منشور في 2025"…Empirical evaluations conducted on multiple benchmark datasets demonstrate that the proposed method outperforms classical anomaly detection algorithms while surpassing conventional model averaging techniques based on minimizing standard loss functions. …"
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Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information.
منشور في 2024"…<p>(A), (B) Algorithm performance, evaluated over 50 simulated datasets generated as described in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012590#pcbi.1012590.g001" target="_blank">Fig 1</a> with <i>N</i> = 3 true groups, 900 samples and 10% simulated measurement noise. …"
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Comparison of different algorithms.
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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A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases
منشور في 2025"…The accurate treatment of many-unpaired-electron systems remains a central challenge in quantum chemistry, due to the exponential growth of the many-electron wave function with the number of correlated electrons. <i>Quantum Anamorphosis</i> addresses this challenge through physically motivated localization of molecular orbitals and site reordering, which yield unique block-diagonal Hamiltonian matrices and compact spin-adapted many-body wave functions. …"
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EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit
منشور في 2025"…For a RDKit molecule, it provides (i) a PNG binary string with an image of the molecule with color-highlighted functional groups; (ii) a list of sets of atom indices (idx), each set corresponding to a functional group; (iii) a list of pseudo-SMILES canonicalized strings for the full functional groups; and (iv) a list of RDKit labeled mol objects, one for each full functional group. …"
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Multi-algorithm comparison figure.
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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Functional Projection <i>K</i>-means
منشور في 2025"…<p>A new technique for simultaneous clustering and dimensionality reduction of functional data is proposed. The observations are projected into a low-dimensional subspace and clustered by means of a functional <i>K</i>-means. …"