Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

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

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

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

<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. …”

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)

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. …”

Summary: Dipole-spread-function engineering for simultaneously measuring the 3D orientations and 3D positions of fluorescent molecules by Tingting Wu (21440889)

“…However, spatial and angular information are mixed within the image of a fluorescent molecule–the microscope’s dipole-spread function (DSF). We demonstrate the pixOL algorithm to simultaneously optimize all pixels within a phase mask to produce an engineered Green’s tensor–the dipole extension of point-spread function engineering. …”

Box plots of different algorithms on CEC2017 functions (dim = 30,100) and CEC2022 functions (dim = 20). by Qingwen Meng (156386)

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(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.…”

Summary of the contrasts obtained from the normalized images for both inclusions as a function of the host type and the wavelength. by María Victoria Waks-Serra (21578611)

Mean RMSE and R² for the training and test phases of RBF by different training algorithms for temperature and humidity prediction. by Caixia Yan (6647072)

Mean RMSE and R² for the training and test phases of MLP by different training algorithms for temperature and humidity prediction. by Caixia Yan (6647072)

Flowchart of BWEMFO. by Jingjing Ma (419752)

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Various MFOs from three mechanisms. by Jingjing Ma (419752)

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The flowchart of MFO. by Jingjing Ma (419752)

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Parameters. by Jingjing Ma (419752)

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The variation of the objective function with the number of iterations for the 118-bus. by Ahmed A. Zaki Diab (12757190)

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

Deep Learning-Based Multi-Scale Bubble Detection and Feature Analysis by Lichun Bai (6684683)

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