News classification data fitted with Naive Bayes and TF-IDF algorithm. حسب Li Zhang (8200)

"…<p>News classification data fitted with Naive Bayes and TF-IDF algorithm.…"

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

الموضوعات:

Comparison of knot value distributions for three algorithms. حسب Xiaobing Chen (572034)

الموضوعات:

Comparison of the number of control points for the three algorithms. حسب Xiaobing Chen (572034)

الموضوعات:

Fitness versus iterations based on different clustering algorithms. حسب Yiwei Zhao (2729758)

Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification. حسب Matteo Straccamore (15083799)

Model Fits for Algorithms with 10-fold cross-validation. حسب Emir Veledar (3385862)

Scatter diagram of different principal elements. حسب Jizhong Wang (7441697)

Flow diagram of FPA-WPA algorithm. حسب Jiayuan Wang (3765376)

الموضوعات:

Data fitting and inferences of time-dependent parameters for BC using the VOCs-INN algorithm. حسب Wenxuan Li (2566450)

Runtime of fitting algorithm (for single λ) on each of three real omics data sets. حسب Evan Gorstein (20553314)

Plot comparing the circular tracking errors of the three algorithms. حسب Xiaosong Liu (66661)

Convergence curves of various algorithms under test functions. حسب Jiayuan Wang (3765376)

الموضوعات:

Convergence curves of various algorithms under test functions. حسب Jiayuan Wang (3765376)

الموضوعات:

Flowchart of the new algorithm. حسب Jinyu Wang (381467)

"…<div><p>In recent years, various real-time processing methods have been developed for Satellite Laser Ranging (SLR) data. However, the recognition rate of the single-stage Graz filtering algorithm for high-orbit satellites is less than 1%, and traditional two-stage filtering algorithms, such as polynomial fitting and iterative filtering techniques, exhibit high false and missed detection rates. …"

The goodness of fit criteria results in all algorithms for optimal hyperparameter values. حسب Sevtap Tırınk (22394716)

Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. حسب Lalit Pandey (13195488)

The flowchart of GWO-VMD method. حسب Zhenjing Yao (22189970)

"…<div><p>Seismic noise separation and suppression is an important topic in seismic signal processing to improve the quality of seismic data recorded at monitoring stations. We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …"

Box plots of different algorithms on CEC2017 test function. حسب Tengfei Ma (597633)

Plot comparing the circular angle tracking performances of the three algorithms. حسب Xiaosong Liu (66661)