wIRBMO feature selection algorithm improving rate. حسب Chenyi Zhu (9383370)

الموضوعات: "…continuous optimization algorithm…"

Sensitivity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

الموضوعات: "…continuous optimization algorithm…"

Specificity values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

الموضوعات: "…continuous optimization algorithm…"

Fitness values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

الموضوعات: "…continuous optimization algorithm…"

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. حسب Gursimran Singh (575288)

الموضوعات:

Radar chart of classification accuracy of IRBMO vs. other algorithms. حسب Chenyi Zhu (9383370)

الموضوعات: "…continuous optimization algorithm…"

Number of features selected for IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

الموضوعات: "…continuous optimization algorithm…"

Fitness values of IRBMO vs. other feature selection algorithm. حسب Chenyi Zhu (9383370)

الموضوعات: "…continuous optimization algorithm…"

Classification accuracy values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

الموضوعات: "…continuous optimization algorithm…"

F-score values of IRBMO vs. other binary algorithms. حسب Chenyi Zhu (9383370)

الموضوعات: "…continuous optimization algorithm…"

Iterative graph of IRBMO vs. other feature selection algorithms. حسب Chenyi Zhu (9383370)

الموضوعات: "…continuous optimization algorithm…"

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional حسب Ryan Stocks (16867476)

"…Improving algorithmic efficiency through hardware-aware implementations enables application to larger systems and more efficient generation of larger training data sets for machine-learning. …"

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.…"

The probability density function of points in feature space of variance versus mean of the local field for (0,3] and (0,3] displayed as a contour-plot. حسب Ali Talebi (7164203)

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

الموضوعات:

Hyper parameter settings for ML Algorithms. حسب R. S. Jayaram (22139155)

Box plots of the fitness function across independent runs. حسب Jin Wang (29560)

(a): These systems were simulated for (0,3] and (0,3] without the prior knowledge about different phases, and the probability density function of points in feature space illustrate... حسب Ali Talebi (7164203)

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

الموضوعات: