Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by 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 optimal solution set of NYN by using different algorithms. by Yi Tao (178829)

The optimal solution set of HN by using different algorithms. by Yi Tao (178829)

Python scripts used to model CPU errors by Poisson distribution density mass function and to draw graph of Poisson events (needs Matplot, SciPy, PysimpleGUI and NumPy) by Santhosh Kumar Rajamani (13023678)

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

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... by Giacomo Janson (8138517)

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

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

“…</p><p dir="ltr">The package includes:</p><ul><li>Scripts for first-order analysis, third-order modeling, optimization using a Physically Grounded Merit Function (PGMF), and RMS-based refinement.…”

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

Reward function related parameters. by Honglei Pang (22693724)

“…Next, vehicle stability is analyzed using vehicle dynamics models to optimize reinforcement learning control variables. …”

Verification of the in-line PS function. by Raul Castañeda (13932971)

Steering system model. by Honglei Pang (22693724)

“…Next, vehicle stability is analyzed using vehicle dynamics models to optimize reinforcement learning control variables. …”

Braking system model. by Honglei Pang (22693724)

“…Next, vehicle stability is analyzed using vehicle dynamics models to optimize reinforcement learning control variables. …”

Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling by Giacomo Janson (8138517)

“…<div><p>The most frequently used approach for protein structure prediction is currently homology modeling. …”

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

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... by Ziyan Jin (21021976)

Main parameters of braking system. by Honglei Pang (22693724)

“…Next, vehicle stability is analyzed using vehicle dynamics models to optimize reinforcement learning control variables. …”

EMB and SBW system structure. by Honglei Pang (22693724)

“…Next, vehicle stability is analyzed using vehicle dynamics models to optimize reinforcement learning control variables. …”

Raw data. by Honglei Pang (22693724)

“…Next, vehicle stability is analyzed using vehicle dynamics models to optimize reinforcement learning control variables. …”

Code program. by Honglei Pang (22693724)

“…Next, vehicle stability is analyzed using vehicle dynamics models to optimize reinforcement learning control variables. …”