EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit حسب Gonzalo Colmenarejo (650249)

"…Ertl’s algorithm is an approach to extract functional groups in arbitrary organic molecules that does not depend on predefined libraries of functional groups. …"

Performance profiles of these algorithms on the basis of the number of function evaluations. حسب Xianfeng Ding (535904)

"…<p>Performance profiles of these algorithms on the basis of the number of function evaluations.…"

The schematic view of the Radial Basis Function (RBF) algorithm. حسب Mohsen Yoosefzadeh-Najafabadi (6917399)

"…<p>The schematic view of the Radial Basis Function (RBF) algorithm.</p>…"

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

F1-scores of anomaly detection algorithms. حسب GaoXiang Zhao (21499525)

F1 function and convergence curve graph. حسب Jiangli Yu (4601986)

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

Optimum feature set for classification using both core and margin information utilizing GLCM, GRLM, and GLSZM texture methods and SVM-RBF classification algorithm. حسب Laurentius O. Osapoetra (9931759)

F1 iteration curve. حسب Xuan Chen (158617)

Unimodal benchmark functions (F1 to F7). حسب El-Sayed M. El-kenawy (14581088)

Results of test functions (F1-F11) with 50 dimensions. حسب Dingming Yang (8505990)

Results of test functions (F1-F11) with 30 dimensions. حسب Dingming Yang (8505990)

Results of test functions (F1-F11) with 100 dimensions. حسب Dingming Yang (8505990)

Results of unimodal benchmark functions (F1–F7). حسب Xiaofeng Qu (577153)

The process of function F in the improved Blowfish algorithm. حسب Sathish Kaveripakam (16940710)

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). …"

Critical values of membership functions learned from the study cohort by the algorithm. حسب Yufeng Zhang (195768)

<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.…"

The proposed feature extraction algorithm. حسب Ali Ahmed (2567584)

الموضوعات:

Mean and covariance estimation of functional data streams حسب Mingxue Quan (13282368)

الموضوعات: