<b>Opti2Phase</b>: Python scripts for two-stage focal reducer حسب 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 حسب Se-Hee Jo (20554623)

الموضوعات:

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

Function <i>χ</i>_<i>opt</i> superimposed with the phase-field function indicating the channel geometry. حسب 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. حسب 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... حسب 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.…"

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

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

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

الموضوعات:

Compare algorithm parameter settings. حسب Qingwen Meng (156386)

الموضوعات:

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

Coati optimization algorithm for brain tumor identification based on MRI with utilizing phase-aware composite deep neural network حسب 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 حسب 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. حسب Haoran Cui (7235234)

الموضوعات:

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

الموضوعات:

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

الموضوعات:

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

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

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

Comparison of classification accuracy across different machine learning models using the objective function metric. حسب Amal H. Alharbi (21755906)