Left: the algorithm’s best estimate of where to put breakpoints for each number of breakpoints considered. by Zhengtian Li (5076704)

Illustration of the unrestricted model and its training algorithm. by Yuru Song (21300760)

Fixing λ_<i>L</i> = 1 and adjusting the size of λ_<i>G</i>, with the gradual increase of λ_<i>G</i>, the time resolution of the high-frequency part of... by Li Jiashen (20552690)

Numerical <i>RMSE</i> results for parameters estimation of MSX–60 module. by Ziad M. Ali (12516532)

WGCNA and machine learning algorithms. by Shushu Wang (6870191)

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

Subjects:

Spectrograms extracted from the generalized S-transform corresponding to the adjustment parameters λ_<i>G</i> = 0.05, λ_<i>L</i> = 0.01. by Li Jiashen (20552690)

The optimal MAE values and corresponding hyperparameters (Gaussian noise with <i>σ</i> = 10⁻³). by Limin Ma (556873)

The optimal MAE values and corresponding hyperparameters (Gaussian noise with <i>σ</i> = 10⁻²). by Limin Ma (556873)

The AEs and corresponding MSEs of <i>β</i> in the GIED model under different censoring schemes. by Qin Gong (118801)

The AEs and corresponding MSEs of <i>λ</i> in the GIED model under different censoring schemes. by Qin Gong (118801)

Greedy optimization algorithm. by Alexis Bénichou (19832361)

The structure of genetic algorithm (GA). by Ali Akbar Moosavi (17769033)

“…Then, radial basis functions (RBFNNs), multilayer perceptron (MLPNNs), hybrid genetic algorithm (GA-NNs), and particle swarm optimization (PSO-NNs) neural networks were utilized to develop PTFs and compared their accuracy with the traditional regression model (MLR) using statistical indices. …”

Generalized S-transform result plots of the signal h(t) corresponding to the fixed parameter λ_<i>G</i> = 2, adjusting the size of the parameter λ_<i>L</i>. by Li Jiashen (20552690)

Generalized S-transform result plots of the signal h(t) corresponding to the fixed parameter λ_<i>L</i> = 10, adjusting the size of the parameter λ_<i>G</i>. by Li Jiashen (20552690)

Numerical <i>RMSE</i> results in parameters estimation of RTC-F solar cell. by Ziad M. Ali (12516532)

Numerical <i>RMSE</i> results in parameters estimation of PWP201 solar module. by Ziad M. Ali (12516532)

Construction of the PRG score index using integrated machine learning algorithms. by Xiangxin Wu (22320058)

Subjects:

Line charts of the elbow method and the k-value selection algorithm: (A) elbow method; (B) k-value selection algorithm. by Jingnan Yan (20727331)

Subjects:

Sensitivity analysis of parameters <i>α</i> and <i>β</i>. by Haoran Cui (7235234)

“…And its output was smoother, the jitter amplitude was significantly reduced by 1/3, and the output torque was more stable. In addition, when the parameter <i>H</i>₀ changed to 2<i>H</i>₀, the overall speed curve did not change much, with only a slight overshoot. …”