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

Subjects:

<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.…”

Reward function related parameters. by Honglei Pang (22693724)

Subjects:

Compare algorithm parameter settings. by Yuqi Xiong (12343771)

Subjects:

A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. by Boluwatife Ikwunne (22238697)

Comparison of UACI among different algorithms. by Feixian Liu (22477943)

“…Evaluated using multiple chaos performance metrics, the 2D-SQSM demonstrates high Lyapunov exponents, and sample entropy, with chaotic characteristics superior to some advanced chaotic maps proposed in recent years. Based on the 2D-SQSM, this paper further designs a highly robust color image encryption algorithm. …”

Comparison of NPCR among different algorithms. by Feixian Liu (22477943)

“…Evaluated using multiple chaos performance metrics, the 2D-SQSM demonstrates high Lyapunov exponents, and sample entropy, with chaotic characteristics superior to some advanced chaotic maps proposed in recent years. Based on the 2D-SQSM, this paper further designs a highly robust color image encryption algorithm. …”

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

Subjects:

Lens imaging opposition-based learning. by Yuqi Xiong (12343771)

Subjects:

Results obtained by different algorithms on 23 benchmark functions. by Yuqi Xiong (12343771)

Subjects:

Flowchart of low-light image enhancement based on MESBOA. by Yuqi Xiong (12343771)

Subjects:

Flowchart of low-light image enhancement based on MESBOA. by Yuqi Xiong (12343771)

Subjects:

-value on 23 benchmark functions (dim = 30). by Yuqi Xiong (12343771)

Subjects:

Convergence curves obtained by different algorithms on 23 benchmark functions. by Yuqi Xiong (12343771)

Subjects:

Different algorithms in 23 benchmark functions to obtain partial boxplot. by Yuqi Xiong (12343771)

Subjects:

Results obtained by different algorithms on CEC2022 benchmark functions. by Yuqi Xiong (12343771)

Subjects:

A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

Convergence curves obtained by different algorithms on CEC2022 benchmark functions. by Yuqi Xiong (12343771)

Subjects:

EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

“…In this paper, a new RDKit/Python implementation of the algorithm is described, that is both accurate and complete. …”

The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

“…<p>The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms.…”