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

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

"…Functional groups are widely used in organic chemistry, because they provide a rationale to analyze physicochemical and reactivity properties. …"

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

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Reward function related parameters. حسب Honglei Pang (22693724)

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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). …"

The algorithm is designed to identify patterns in the treatment dataset. حسب Belén Otero-Carrasco (21262360)

"…<p>This process involves two key functions. First, from lines 1 to 8, the algorithm identifies amino acids that meet the occurrence threshold, starting with patterns of length 1. …"

Algorithm pseudocode. حسب Cheng-jie Chen (22272090)

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

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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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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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Run times of two algorithms. حسب Gourab Saha (8987405)

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DE algorithm flow. حسب Ling Zhao (111365)

"…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …"

Gillespie algorithm simulation parameters. حسب Nicholas H. Vitale (20469289)

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Cost functions implemented in Neuroptimus. حسب Máté Mohácsi (20469514)

Crop yield prediction accuracy using different ML algorithms. حسب Gourab Saha (8987405)

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Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... حسب Ziyan Jin (21021976)

Test results of different algorithms. حسب Ling Zhao (111365)

"…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …"

Flowchart of the general algorithm for one trial. حسب Junying Wang (509009)

DMTD algorithm. حسب Yunhu Huang (21402795)

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