The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri. حسب Burak Alakent (463512)

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

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Modular architecture design of PyNoetic showing all its constituent functions. حسب Gursimran Singh (575288)

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Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. حسب Gursimran Singh (575288)

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Illustration of the unrestricted model and its training algorithm. حسب Yuru Song (21300760)

Comparison of average reward values in various simulation scenarios. حسب Honglei Pang (22693724)

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Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. حسب Gursimran Singh (575288)

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

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PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. حسب Gursimran Singh (575288)

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Distribution of objective function values solved by three algorithms. حسب Meilin Zhu (688698)

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). …"

Objective function values of different algorithms on individual problem instances. حسب Panfei Li (22379086)

"…<p>Objective function values of different algorithms on individual problem instances.…"

<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.…"

Sensor value scenario for average value algorithm. حسب Gourab Saha (8987405)

Predictions from a Universal Value Function Approximator (UVFA) algorithm. حسب Sam Hall-McMaster (10343795)

Performance profile of the four algorithms based on the function value of iteration number. حسب Sulaiman M. Ibrahim (20614376)

"…<p>Performance profile of the four algorithms based on the function value of iteration number.…"

(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions). حسب Yu Liu (6938)

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Comparison of PSNR values of different algorithms. حسب Xiaojun Wang (50332)

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Changes in FID values of different algorithms. حسب Xiaojun Wang (50332)

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Comparison of SSIM values of different algorithms. حسب Xiaojun Wang (50332)

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