Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by 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). …”

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by 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.…”

Functional fitness test results of different algorithms. by Ling Zhao (111365)

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 algorithm for achieving the research objectives illustrating the process of developing a mathematical model of the braking moment as a function of tire deformation. by Bartosz Wieczorek (8098352)

“…<p>The algorithm for achieving the research objectives illustrating the process of developing a mathematical model of the braking moment as a function of tire deformation.…”

Performance validation of different algorithms in two benchmark functions. by Wenjing Wang (181404)

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

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The ALO algorithm optimization flowchart. by Wenjing Wang (181404)

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The IALO algorithm solution flowchart. by Wenjing Wang (181404)

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Comparison of convergence curves of different algorithms. by Wenjing Wang (181404)

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Confusion matrix diagram of the original and improved algorithms. by Jia Li (160557)

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Boxplots of TTAO and 7 comparison algorithms on CEC2005 functions. by Yi-Qiang Xia (20161326)

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Algorithm operation steps. by Junyan Wang (4738518)

“…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”

Convergence curves of various algorithms under test functions. by Jiayuan Wang (3765376)

Convergence curves of various algorithms under test functions. by Jiayuan Wang (3765376)

Proportion of models that achieved nominal coverage of Bonferroni adjusted 95% confidence intervals. by Jesse Wheeler (18462457)

Test function results. by Ruyi Dong (9038174)

Subjects: “…dimensional benchmark functions…”

Benchmark test functions. by Ruyi Dong (9038174)

Subjects: “…dimensional benchmark functions…”

Comparison of results obtained by different algorithms for solving EELD. by Wenjing Wang (181404)

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Results comparison of different optimization algorithms for dealing with ELD. by Wenjing Wang (181404)

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