Cleavage time as a function of scaled fiber diameter. حسب Roukayatou R. Ouedraogo (20460980)

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.…"

Study proposed algorithm. حسب Ainhoa Pérez-Guerrero (21377457)

الموضوعات:

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)

الموضوعات:

Median fiber cleavage time (black) and the fraction of successful runs (red) for different parameter values. حسب Roukayatou R. Ouedraogo (20460980)

Confirmation of hub MitoDEGs expression and association with cardiac function in MI mice. حسب Wenlong Kuang (20485167)

Reward function related parameters. حسب Honglei Pang (22693724)

الموضوعات:

Training algorithm flow. حسب Xing Chen (140292)

الموضوعات:

Architecture of AGAN algorithm model. حسب Xing Chen (140292)

الموضوعات:

ROC curves of six algorithms. حسب Xing Chen (140292)

الموضوعات:

Exponentially attenuated sinusoidal function. حسب Hang Zhao (143592)

"…<div><p>Recent research for arrhythmia classification is increasingly based on AI-driven approaches, which are primarily grounded in ECG data, but often neglect the mathematical foundations of cardiac electrophysiology. A finite element model (FEM) of the human heart, grounded in the Hodgkin-Huxley (HH) model was established to simulate cardiac electrophysiology, and ECG signals from 200 representative points were acquired. …"

PFC value of algorithms on two datasets. حسب Xing Chen (140292)

الموضوعات:

A Multi-Pathology Ballistocardiogram Dataset for Cardiac Function Monitoring and Arrhythmia Assessment حسب Jing Zhan (20716673)

Comparison of different optimization algorithms. حسب Hang Zhao (143592)

Coronary function test and endomyocardial biopsy between the first and third month after heart transplant. حسب Ainhoa Pérez-Guerrero (21377457)

الموضوعات:

RMSE value filled by different algorithms (mean ± std). حسب Xing Chen (140292)

الموضوعات:

<b>A Multi-Pathology Ballistocardiogram Dataset for Cardiac Function Monitoring and Arrhythmia Assessment</b> حسب Jing Zhan (20716673)

"…These parameters establish an informative link between each participant’s anthropometric profile, cardiac function metrics, and the corresponding BCG, ECG, and ultrasound data.…"

RMSE value of missing data filling algorithms on different datasets (mean ± std). حسب Xing Chen (140292)

الموضوعات: