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using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
iii algorithm » ii algorithm (Expand Search), _ algorithm (Expand Search), new algorithm (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
develop iii » develop high (Expand Search)
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Algorithm comparison.
Published 2025“…In the context of multi-machine scheduling, the BNSGA-III algorithm outperforms the NSGA-II, NSGA-III, and MOEA/D algorithms, achieving improvements in total travel distance (12.3% to 34.4%), path balance (60.9% to 66.2%), and workload distribution (78.7% to 92.9%). …”
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NSGA-III algorithm flow chart.
Published 2025“…In the context of multi-machine scheduling, the BNSGA-III algorithm outperforms the NSGA-II, NSGA-III, and MOEA/D algorithms, achieving improvements in total travel distance (12.3% to 34.4%), path balance (60.9% to 66.2%), and workload distribution (78.7% to 92.9%). …”
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Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification.
Published 2025“…<p>In the top panel, we show the computation of the Fitness and Complexity algorithm. The Fitness of the entity <i>e</i><sub>1</sub> is the technological Complexity sum of all the technology done by <i>e</i><sub>1</sub>. …”
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Comparison of different optimization algorithms.
Published 2025Subjects: “…crayfish optimization algorithm…”
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Assignment of Hungarian Algorithm.
Published 2025“…The proposed methodology was evaluated using data collected by a 32-channel portable LiDAR at three signalized intersections. …”
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Beluga Whale Optimization algorithm flow chart.
Published 2025“…In the context of multi-machine scheduling, the BNSGA-III algorithm outperforms the NSGA-II, NSGA-III, and MOEA/D algorithms, achieving improvements in total travel distance (12.3% to 34.4%), path balance (60.9% to 66.2%), and workload distribution (78.7% to 92.9%). …”
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Algorithmic experimental parameter design.
Published 2024“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”
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Spatial spectrum estimation for three algorithms.
Published 2024“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”
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G R code algorithm.
Published 2024“…The algorithm was developed and coded in Verilog and simulated using Modelsim. …”
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Development of authentication algorithms for IEC 61850 goose and sampled value messages
Published 2025“…<p dir="ltr">This study aims to develop an authentication algorithm for Routable-GOOSE (R-GOOSE) or Routable-SV (R-SV). …”
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Data Sheet 3_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.zip
Published 2025“…Feature selection was performed using the Boruta algorithm, and survival predictions were made using nine machine learning algorithms, including XGBoost, logistic regression (LR), support vector machine (SVM), random forest (RF), k-nearest neighbor (KNN), decision tree (DT), elastic network (Enet), multilayer perceptron (MLP) and lightGBM. …”
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Flow diagram of FPA-WPA algorithm.
Published 2025“…Secondly, considering the complexity and diversity of wind speed data characteristics, data decomposition technique, autoregressive moving average (ARIMA) model and cuckoo search algorithm are used to achieve data preprocessing, serial data modelling and hybrid prediction. …”
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