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

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Kinematic features for all patients before (PRE) and one year after surgery (P1Y) as well as all control group values. حسب Xavier Gasparutto (8374578)

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). …"

<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.…"

PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA. حسب Gursimran Singh (575288)

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Comparison of loss function curves before and after improvement. حسب Xiaozhou Feng (2918222)

The comparison of TL before and after optimization. حسب Shangyang Jin (21772466)

The comparison of TL before and after optimization. حسب Shangyang Jin (21772466)

Average function evaluation times of the three optimization algorithms. حسب Shuhui Yu (1535500)

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. …"

Path comparison before and after smoothing. حسب Zhenggang Wang (1753657)

Comparison before and after path pruning. حسب Zhenggang Wang (1753657)

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

الموضوعات:

Comparison of model feature extraction before and after adding SPDConv. حسب Jia Li (160557)

The benchmark functions. حسب Shuhui Yu (1535500)

Baseline characteristics of recipients’ comparison before and after data match by the unsupervised machine learning algorithm. حسب Mahmoudreza Moein (22127153)

Comparison of model visualization before and after SPPFCSPC improvement. حسب Wenyuan Xu (2553028)

Accelerated MPC Algorithms and Augmented System Design for Legged Robots حسب John Ndegwa Nganga (21088838)

"…The approach is powered by a newly introduced algorithm, named the modified Recursive Newton Euler Algorithm~(mRNEA), which is inspired by classical RNEA, and computes the dynamics information pre-multiplied with a fixed vector. …"

Reward function related parameters. حسب Honglei Pang (22693724)

الموضوعات:

Tunable parameters in stimuli generation module. ^<i>a</i>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... حسب Gursimran Singh (575288)

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