Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset. حسب Jiaxi Wang (545353)

DE genes detected by different DEA algorithms. حسب Jie Xue (417504)

"…Here, we compare 6 performance metrics on both simulated and real scRNA-seq datasets to assess the adaptability of 8 DEA approaches, with a particular emphasis on how well they function under small biological replications. …"

Real-world datasets. حسب Hiroki Saishu (10687475)

Spectrally Sparse Nonparametric Regression via Elastic Net Regularized Smoothers حسب Nathaniel E. Helwig (8452212)

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

الموضوعات: "…evolutionary genetic algorithm…"

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

الموضوعات: "…evolutionary genetic algorithm…"

Empirical and ftted survival functions of NRM and EMA estimates for the real data. حسب Mukhtar M. Salah (9345911)

A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... حسب Hector Torres (11708207)

FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz حسب Faizan Ali (21689861)

الموضوعات:

The obtained results for unimodal test functions. حسب Mohammad H. Nadimi-Shahraki (14322248)

The obtained results for hybrid test functions. حسب Mohammad H. Nadimi-Shahraki (14322248)

The obtained results for composition test functions. حسب Mohammad H. Nadimi-Shahraki (14322248)

Objective function values of different algorithms on individual problem instances. حسب Panfei Li (22379086)

Motion-blurred photograph in real-life application. حسب Haoyuan Yang (8630391)

Final assignment algorithm. حسب Negin Alisoltani (11949357)

gmxapi usage examples. حسب M. Eric Irrgang (4487278)

Summary of the CEC-2017 test functions. حسب Xingtao Wu (22139242)

"…<div><p>The icing failures of wind turbine blades are critical factors that affect both power generation efficiency and safety. To improve the diagnostic accuracy and speed, an improved weighted kernel extreme learning machine (IWKELM) optimized by multi-strategy adaptive coati optimization algorithm (MACOA) for icing fault diagnosis model is proposed, i.e., MACOA-IWKELM. …"

The obtained results for simple multimodal test functions. حسب Mohammad H. Nadimi-Shahraki (14322248)

Performance profile of the four algorithms based on the function value of iteration number. حسب Sulaiman M. Ibrahim (20614376)

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) حسب Santhosh Kumar Rajamani (13023678)