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

"…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…"

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

"…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …"

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

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

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

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

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

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

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

FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz حسب Faizan Ali (21689861)

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Compare algorithm parameter settings. حسب Yuqi Xiong (12343771)

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

Four typical nonlinear transformation function curves. حسب Yuqi Xiong (12343771)

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

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Reward function related parameters. حسب Honglei Pang (22693724)

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Ranking distribution and average ranking on 23 benchmark functions. حسب Yuqi Xiong (12343771)

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Ranking distribution and average ranking on CEC2022 benchmark functions. حسب Yuqi Xiong (12343771)

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Data of PV, WT, FC, and utilized coefficients. حسب Obaid Aldosari (19797428)

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

"…Based on the 2D-SQSM, this paper further designs a highly robust color image encryption algorithm. First, by introducing different hash functions multiple times, the correlation between the key and plaintext is enhanced, significantly improving resistance against brute-force attacks; second, cyclic shifting and segmentation-recombination operations are applied separately to the three RGB channels to effectively disrupt pixel distribution and significantly reduce spatial correlation between pixels; finally, the chaotic sequence generated by the 2D-SQSM is utilized for XOR diffusion, further enhancing the randomness and diffusion capability of the ciphertext. …"

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

"…Based on the 2D-SQSM, this paper further designs a highly robust color image encryption algorithm. First, by introducing different hash functions multiple times, the correlation between the key and plaintext is enhanced, significantly improving resistance against brute-force attacks; second, cyclic shifting and segmentation-recombination operations are applied separately to the three RGB channels to effectively disrupt pixel distribution and significantly reduce spatial correlation between pixels; finally, the chaotic sequence generated by the 2D-SQSM is utilized for XOR diffusion, further enhancing the randomness and diffusion capability of the ciphertext. …"

Code snippets to add user-specific custom functionality in PyNoetic. حسب Gursimran Singh (575288)

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