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within function » fibrin function (Expand Search), python function (Expand Search), protein function (Expand Search)
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321
IEEE Big Data 2024 Presentation: Norma: A Framework for Finding Threshold Associations Between Continuous Variables Using Point-wise Function
Published 2025“…Norma introduces the unique Continuous Variable Threshold (CVT) pattern, aiming to identify a pair of thresholds within the value domain of two continuous variables, revealing strong associations within a specified geographic area. …”
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322
Quantile Regression and Homogeneity Identification of a Semiparametric Panel Data Model
Published 2024“…Observing that subjects within a group may share identical trend functions, we are motivated to further explore potential homogeneity in these trends. …”
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323
Overview diagram of the method and contributions of this work.
Published 2025“…Panel B shows three tasks that can be performed with the set of HA sites. (1) The HA sites can be used to confirm the protein family alignment and validate a protein’s membership within a family based on the similarity of the progression of attention values. (2) The HA sites can define vectors that can be used to determine pairwise similarities between proteins. (3) The HA sites are also predictive of functionally important regions of the protein, as they are spatially close to active sites and residues crucial to the specificity of the protein.…”
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Test data on the ability to escape local optima.
Published 2025“…<div><p>The fast developments in artificial intelligence together with evolutionary algorithms have not solved all the difficulties that Gene Expression Programming (GEP) encounters when maintaining population diversity and preventing premature convergence. …”
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Summary of the notations.
Published 2025“…<div><p>The fast developments in artificial intelligence together with evolutionary algorithms have not solved all the difficulties that Gene Expression Programming (GEP) encounters when maintaining population diversity and preventing premature convergence. …”
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327
Comparison of population diversity.
Published 2025“…<div><p>The fast developments in artificial intelligence together with evolutionary algorithms have not solved all the difficulties that Gene Expression Programming (GEP) encounters when maintaining population diversity and preventing premature convergence. …”
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328
Test data on mining capacity.
Published 2025“…<div><p>The fast developments in artificial intelligence together with evolutionary algorithms have not solved all the difficulties that Gene Expression Programming (GEP) encounters when maintaining population diversity and preventing premature convergence. …”
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329
Comparison of standard GEP and DGEP.
Published 2025“…<div><p>The fast developments in artificial intelligence together with evolutionary algorithms have not solved all the difficulties that Gene Expression Programming (GEP) encounters when maintaining population diversity and preventing premature convergence. …”
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330
Test data on population diversity.
Published 2025“…<div><p>The fast developments in artificial intelligence together with evolutionary algorithms have not solved all the difficulties that Gene Expression Programming (GEP) encounters when maintaining population diversity and preventing premature convergence. …”
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331
High-Entropy Phosphate Synthesis: Advancements through Automation and Sequential Learning Optimization
Published 2025“…This work highlights the potential of integrating automated synthesis platforms with data-driven algorithms to accelerate the discovery of high-entropy materials, offering an efficient design pathway to advanced functional materials.…”
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332
Flowchart of the DGEP process.
Published 2025“…<div><p>The fast developments in artificial intelligence together with evolutionary algorithms have not solved all the difficulties that Gene Expression Programming (GEP) encounters when maintaining population diversity and preventing premature convergence. …”
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333
Comparison of the ability to escape local optima.
Published 2025“…<div><p>The fast developments in artificial intelligence together with evolutionary algorithms have not solved all the difficulties that Gene Expression Programming (GEP) encounters when maintaining population diversity and preventing premature convergence. …”
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334
High-Entropy Phosphate Synthesis: Advancements through Automation and Sequential Learning Optimization
Published 2025“…This work highlights the potential of integrating automated synthesis platforms with data-driven algorithms to accelerate the discovery of high-entropy materials, offering an efficient design pathway to advanced functional materials.…”
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335
High-Entropy Phosphate Synthesis: Advancements through Automation and Sequential Learning Optimization
Published 2025“…This work highlights the potential of integrating automated synthesis platforms with data-driven algorithms to accelerate the discovery of high-entropy materials, offering an efficient design pathway to advanced functional materials.…”
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336
Statistical analysis of DGEP vs. standard GEP.
Published 2025“…<div><p>The fast developments in artificial intelligence together with evolutionary algorithms have not solved all the difficulties that Gene Expression Programming (GEP) encounters when maintaining population diversity and preventing premature convergence. …”
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337
High-Entropy Phosphate Synthesis: Advancements through Automation and Sequential Learning Optimization
Published 2025“…This work highlights the potential of integrating automated synthesis platforms with data-driven algorithms to accelerate the discovery of high-entropy materials, offering an efficient design pathway to advanced functional materials.…”
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