Python-based Monte Carlo Simulation Tool حسب Yangfan Jiang (9372782)

<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.…"

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

الموضوعات:

Impact of POMCP parameters on the estimated value function. حسب Benoîte de Saporta (20454662)

الموضوعات:

Risk function of the controlled continuous time PDMP. حسب Benoîte de Saporta (20454662)

الموضوعات:

Listed python codes of our algorithm with explanations (Python 3.9 recommended). حسب Takayuki Niizato (162226)

Risk and density functions for standard relapse from remission condition to disease <i>b</i> condition (similar shapes for standard relapse to disease <i>a</i>). حسب Benoîte de Saporta (20454662)

الموضوعات:

Practice of patient follow-up. حسب Benoîte de Saporta (20454662)

الموضوعات:

The algorithm underlying neoVM. حسب Tanmoy Sarkar (627505)

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

Example of patient follow-up data, PDMP model. حسب Benoîte de Saporta (20454662)

الموضوعات:

The algorithm for the same-day surgery protocol. حسب Magnus Tveit (11442200)

Markov transition kernel <i>Q</i> for the controlled PDMP. حسب Benoîte de Saporta (20454662)

الموضوعات:

Flow Φ of the controlled continuous time PDMP. حسب Benoîte de Saporta (20454662)

الموضوعات:

Fig 4 - حسب Benoîte de Saporta (20454662)

الموضوعات:

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 expert screening cost <i>g</i>_expert(<i>x</i>) defined for the Challenge: Mean cost for screening a fraction <i>x</i> of a patient cohort for cardiac abnormalities. حسب Matthew A. Reyna (16965038)

الموضوعات:

Demographic, murmur, and clinical outcome information in the Challenge training, validation, and/or test sets; nan values indicate unknown or missing values. حسب Matthew A. Reyna (16965038)

الموضوعات:

Demographic, murmur, and clinical outcome distributions across the Challenge training, validation, and test data. حسب Matthew A. Reyna (16965038)

الموضوعات:

Weighted accuracy metric (1) for the murmur detection task (<i>x</i>-axis) and the cost metric (8) scores for the clinical outcome identification task (<i>y</i>-axis) of the final... حسب Matthew A. Reyna (16965038)

الموضوعات: