Utility functions for attributes for different applications. حسب Nada Ahmed Ezz-Eldien (17396553)

الموضوعات: "…gravitational search algorithm…"

ANOVA test over the seven benchmark functions, treatment is between columns and residual is within columns. حسب El-Sayed M. El-kenawy (14581088)

Smooth function of sample size. حسب Muhammad Atif (2575789)

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. حسب Yuanchen Zhao (12905580)

الموضوعات:

Performance of PCA and Joint Autoencoder (JAE) denoising algorithms. حسب Ege Altan (11768156)

الموضوعات:

GD and soft loss function (Loss_S) parameters are optimized through the hyperparameter tuning process within their search spaces. حسب Burcu Ozek (16949357)

LF and SP optimum values using the PSOGSAHO algorithm. حسب Nada Ahmed Ezz-Eldien (17396553)

الموضوعات: "…gravitational search algorithm…"

<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.…"

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

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

Smoothing curve from GAM model in which the survival of smaller cluster has been modeled as a smooth function of the sample size. حسب Muhammad Atif (2575789)

Smoothing curve from GAM model in which the survival of smaller cluster has been modeled as a smooth function of the sample size. حسب Muhammad Atif (2575789)

This figure visually presents several examples of mHealth technologies identified in our screen by functionality. حسب Pascal Geldsetzer (549621)

Algorithm parameter levels. حسب Peng Yao (448155)

"…The experimental session designs several scale instances according to the reality of the port, carries out simulation experiments comparing several groups of intelligent algorithms, verifies the effectiveness of IGWO, and verifies it in the comprehensive port area of Huanghua Port to get the optimal scheduling scheme of this port area, and finally gives management suggestions to reduce the cost of tugboat operation through sensitivity analysis.…"

Generation of simulated datasets. حسب Ege Altan (11768156)

الموضوعات:

Architecture of the Joint Autoencoder. حسب Ege Altan (11768156)

الموضوعات:

Dimensionality of noise free datasets. حسب Ege Altan (11768156)

الموضوعات:

Dimensionality of noise free datasets with unequal variance. حسب Ege Altan (11768156)

الموضوعات:

Amount of data required by dimensionality estimators. حسب Ege Altan (11768156)

الموضوعات:

Effect of noise on dimensionality estimates. حسب Ege Altan (11768156)

الموضوعات: