Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... حسب Giacomo Janson (8138517)

An expectation-maximization algorithm for finding noninvadable stationary states. حسب Robert Marsland (8616483)

"…<i>(c)</i> Pseudocode for self-consistently computing <b>R</b>* and , which is identical to standard expectation-maximization algorithms employed for problems with latent variables in machine learning.…"

Adaptive H-REMD simulation algorithm. حسب Danial Pourjafar-Dehkordi (7165523)

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

الموضوعات:

Overview of the wavess algorithm and R package. حسب Narmada Sambaturu (4989539)

Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements حسب Pascal Wang (10130612)

"…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …"

<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.…"

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. حسب Francisco Páscoa dos Santos (16510676)

"…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …"

Taming Negative Ion Resonances Using Nonlocal Exchange-Correlation Functionals حسب Abhisek Ghosal (762577)

الموضوعات:

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

Identification and functional analysis of hub genes. حسب Wei Ya Lan (22403712)

"…(C, D) Top 10 hub genes identified using the Maximal Clique Centrality (MCC) algorithm; darker colors indicate higher centrality within the PPI network. …"

Identification of hub genes from the PPI network by bottleneck algorithm using the cytoHubba Cytoscape plugin. حسب Cihat Erdogan (12529243)

In this example the MPC algorithm perfectly tracks the noisy signal , which results in many false spikes. حسب Nicholas A. Rondoni (21573261)

الموضوعات:

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

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). …"

Pair Potentials as Machine Learning Features حسب Jun Pei (1765720)

الموضوعات:

Pair Potentials as Machine Learning Features حسب Jun Pei (1765720)

الموضوعات:

Pair Potentials as Machine Learning Features حسب Jun Pei (1765720)

الموضوعات:

Multimodal reference functions. حسب Ruiyu Zhan (21602031)

"…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …"

System pharmacology-based determination of the functional components and mechanisms in chronic heart failure treatment: an example of Zhenwu decoction حسب Yisheng Huang (152457)

"…Subsequently, a pioneering method for evaluating node significance was formulated, culminating in the creation of core functional association space (CFAS). To discern vital components, a novel dynamic programming algorithm was devised and used to determine the core component group (CCG) within the CFAS. …"