Algorithm Parameter Setting. by Tong Zhou (3770)

“…This strategy uses the improved D3QN algorithm combined with the excellent smoothness of the sine function to evaluate driving safety, helping vehicles find suitable gaps in traffic flow. …”

Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

The phase-field function for three different network configurations considered in this work. by Martina Bukač (20161460)

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…</p><p dir="ltr">The package includes:</p><ul><li>Scripts for first-order analysis, third-order modeling, optimization using a Physically Grounded Merit Function (PGMF), and RMS-based refinement.</li><li>A subfolder named <b>Images</b>, which stores the figures generated by six of the seven provided scripts.…”

The phases of automated BHV monitoring. by Bernhard Vennemann (7434353)

Pseudocode of the BBAC_I Algorithm. by Zezhi Lin (22521663)

Execution Steps of the EOF Algorithm. by Zezhi Lin (22521663)

Schematic of the designed ROSA network, including power division, BFN, pase compensation and phase shifter units, for which the geometry parameters are L-PD = 17.54, L-BFN = 84.5,... by Maryam Shadi (14237349)

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Table_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.DOCX by Shakiru A. Alaka (9302864)

“…We evaluate the predictive accuracy of machine-learning algorithms for predicting functional outcomes in acute ischemic stroke patients after endovascular treatment.…”

Convergence curves on the functions CL4, CL11, CL13, CL14, CL18, CL19, C17F1, C17F2, and C17F4. by Mahmood A. Jumaah (22272371)

Data_Sheet_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.PDF by Shakiru A. Alaka (9302864)

“…We evaluate the predictive accuracy of machine-learning algorithms for predicting functional outcomes in acute ischemic stroke patients after endovascular treatment.…”

Diagram of the algorithm used during the training phase. by Ana P. Arantes (17131753)

Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization by Sahithya S. Iyer (8604096)

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Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization by Sahithya S. Iyer (8604096)

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Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization by Sahithya S. Iyer (8604096)

Subjects:

Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization by Sahithya S. Iyer (8604096)

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Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization by Sahithya S. Iyer (8604096)

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Interpretation of Phase Boundary Fluctuation Spectra in Biological Membranes with Nanoscale Organization by Sahithya S. Iyer (8604096)

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Data Sheet 1_A proposed evidence-guided algorithm for the adjustment and optimization of multi-function articulated ankle-foot orthoses in the clinical setting.pdf by Nicholas A. LeCursi (19217287)

“…However, selecting the appropriate AFO with mechanical characteristics, which limit pathological ankle motion in certain phases of the gait cycle while facilitating effective ankle movement during other phases, requires careful clinical decision-making. …”

Highly Accurate Prediction of Core Spectra of Molecules at Density Functional Theory Cost: Attaining Sub-electronvolt Error from a Restricted Open-Shell Kohn–Sham Approach by Diptarka Hait (2835971)

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