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algorithm phase » algorithm based (Expand Search), algorithm where (Expand Search), algorithm pre (Expand Search)
within function » fibrin function (Expand Search), python function (Expand Search), protein function (Expand Search)
algorithm brain » algorithm ai (Expand Search), algorithm against (Expand Search), algorithm design (Expand Search)
phase function » phase functions (Expand Search), sphere function (Expand Search), rate function (Expand Search)
brain function » barrier function (Expand Search), protein function (Expand Search)
algorithm phase » algorithm based (Expand Search), algorithm where (Expand Search), algorithm pre (Expand Search)
within function » fibrin function (Expand Search), python function (Expand Search), protein function (Expand Search)
algorithm brain » algorithm ai (Expand Search), algorithm against (Expand Search), algorithm design (Expand Search)
phase function » phase functions (Expand Search), sphere function (Expand Search), rate function (Expand Search)
brain function » barrier function (Expand Search), protein function (Expand Search)
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Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value.
Published 2024Subjects: -
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Distribution of cross correlations in functional connectivity in ABIDE sample.
Published 2024Subjects: -
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Multi-scale detection of hierarchical community architecture in structural and functional brain networks
Published 2019“…<div><p>Community detection algorithms have been widely used to study the organization of complex networks like the brain. …”
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<b>Opti2Phase</b>: Python scripts for two-stage focal reducer
Published 2025“…<p dir="ltr"><b>Opti2Phase: Python Scripts for Two-Stage Focal Reducer Design</b></p><p dir="ltr">The folder <b>Opti2Phase</b> contains the Python scripts used to generate the results presented in the manuscript. …”
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TV-BayesOpt algorithm performance for tracking a gradual drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*.
Published 2023“…For each estimated GPR the confidence bounds observed at the predicted optimal phase value are small and become larger for values further away from this value due to the algorithm’s acquisition function prioritizing exploitation of the parameter space during the optimization process.…”
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TV-BayesOpt algorithm performance for tracking a periodic drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*.
Published 2023“…For each estimated GPR the confidence bounds observed at the predicted optimal phase value are small and become larger for values further away from this value due to the algorithm’s acquisition function prioritizing exploitation of the parameter space during the optimization process.…”
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Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network
Published 2025“…In this research, Utilizing Phase-aware Composite Deep Neural Network Optimized with Coati Optimized Algorithm for Brain Tumor Identification Based on Magnetic resonance imaging (PACDNN-COA-BTI-MRI) is proposed. …”
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TV-BayesOpt algorithm performance for tracking a superimposed (gradual and periodic) drift in the optimal stimulation phase for phase-locked stimulation, <i>ψ</i>*.
Published 2023“…For each estimated GPR the confidence bounds observed at the predicted optimal phase value are small and become larger for values further away from this value due to the algorithm’s acquisition function prioritizing exploitation of the parameter space during the optimization process.…”
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Taming Negative Ion Resonances Using Nonlocal Exchange-Correlation Functionals
Published 2024Subjects: -
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A closed-loop, music-based brain-computer interface for emotion mediation - Fig 4
Published 2019Subjects: