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

“…<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. …”

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

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

Function <i>χ</i>_<i>opt</i> superimposed with the phase-field function indicating the channel geometry. by Martina Bukač (20161460)

The probability density function of points in feature space of variance versus mean of the local field for (0,3] and (0,3] displayed as a contour-plot. by Ali Talebi (7164203)

(a): These systems were simulated for (0,3] and (0,3] without the prior knowledge about different phases, and the probability density function of points in feature space illustrate... by Ali Talebi (7164203)

“…(b): The dense areas are separated by removing the data less than threshold = 0.5 in the probability density function. (c): The centroid of each cluster is determined by the K-means algorithm.…”

Reward function related parameters. by Honglei Pang (22693724)

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

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

WSN optimized by different algorithms. by Qingwen Meng (156386)

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Compare algorithm parameter settings. by Qingwen Meng (156386)

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Flowchart of the general algorithm for one trial. by Junying Wang (509009)

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

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Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network by Rajesh Kumar Thangavel (20591164)

“…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. …”

Predicting the Mutagenic Activity of Nitroaromatics Using Conceptual Density Functional Theory Descriptors and Explainable No-Code Machine Learning Approaches by Andrés Halabi Diaz (20798460)

“…This study integrates conceptual density functional theory (CDFT) descriptors with explainable no-code machine learning (ML) models to predict NA mutagenicity based on Ames test results. …”

Comparison results of phase trajectories and local enlarged images between two systems. by Haoran Cui (7235234)

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Evaluating and Improving Light Absorption Retrievals of Black Carbon Using In Situ Polar Nephelometry by Qizhi Xu (1729057)

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Trajectory planning results of different planning algorithms under fixed driving mileage. by Du Chigan (22320279)

Phase stability at interfaces (dataset) by J Pitfield (21962924)

Variance of local fields versus mean of local fields for (a) , (b) . by Ali Talebi (7164203)