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method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
mining algorithm » finding algorithm (Expand Search), making algorithm (Expand Search), training algorithms (Expand Search)
elements method » element method (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
based mining » based binding (Expand Search), based training (Expand Search), based imaging (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
mining algorithm » finding algorithm (Expand Search), making algorithm (Expand Search), training algorithms (Expand Search)
elements method » element method (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
based mining » based binding (Expand Search), based training (Expand Search), based imaging (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
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961
Image 1_A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression.tif
Published 2025“…Finally, the mechanical parameters to be measured are inversed based on field-measured displacements. This model is utilized to invert the RMMPs for a mining site located in Yunnan Province, and the inversed RMMPs are utilized for forward analysis. …”
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962
Image 2_A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression.tif
Published 2025“…Finally, the mechanical parameters to be measured are inversed based on field-measured displacements. This model is utilized to invert the RMMPs for a mining site located in Yunnan Province, and the inversed RMMPs are utilized for forward analysis. …”
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963
A hybrid method for optimal arrangement of turbine blades
Published 2025“…The proposed method's source code and related data are freely available for download at <a href="http://airmath.ir/code/TBS.zip" target="_blank">http://airmath.ir/code/TBS.zip</a>.…”
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964
Key themes from survey responses.
Published 2025“…Research software, comprising source code, algorithms, scripts, computational workflows, and executables produced during or specifically for research, is crucial in advancing scholarly knowledge. …”
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965
Types of research software-related funding.
Published 2025“…Research software, comprising source code, algorithms, scripts, computational workflows, and executables produced during or specifically for research, is crucial in advancing scholarly knowledge. …”
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966
Sampling flow chart.
Published 2025“…Research software, comprising source code, algorithms, scripts, computational workflows, and executables produced during or specifically for research, is crucial in advancing scholarly knowledge. …”
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967
Details of survey structure.
Published 2025“…Research software, comprising source code, algorithms, scripts, computational workflows, and executables produced during or specifically for research, is crucial in advancing scholarly knowledge. …”
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968
Data Sheet 1_Evaluating methods for integrating single-cell data and genetics to understand inflammatory disease complexity.docx
Published 2024“…Lastly, we provide a novel evaluation of noncoding SNP incorporation methods by testing which enabled the highest sensitivity/accuracy of known cell-state calls.…”
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969
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970
Pareto optimal front result of MOCOA.
Published 2025“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
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971
Confusion matrix.
Published 2025“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
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972
Action potential of sample points in model 1.
Published 2025“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
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973
Performance validation on the MIT-BIH database.
Published 2025“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
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974
Exponentially attenuated sinusoidal function.
Published 2025“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
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975
Performance comparison with other papers.
Published 2025“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
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976
Action potential of sample points in model 2.
Published 2025“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
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977
Action potential of sample points in model 0.
Published 2025“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
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978
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979
Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4
Published 2025“…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. To address this, we propose a hybrid approach that combines elastic and hyperelastic finite element simulations, complemented by convolutional neural networks (CNNs), to generate synthetic tactile maps of a soft capacitive tactile sensor. …”
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980