The results of ICA performed using PyNoetic. by Gursimran Singh (575288)

Subjects:

Graph of convergence of PSO algorithm fitness function. by Mohammed F. Elnaggar (18297954)

Benchmark functions used and their details. by Wei Liu (20030)

Comparison results on benchmark functions with traditional algorithms. by Xiaoyi Zhang (577299)

Proposed algorithm mean and standard deviation (StDev) versus compared algorithms for the benchmark functions. by El-Sayed M. El-kenawy (14581088)

Convergence results of different dimensional functions under different algorithms. by Guilian Feng (18530806)

Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms. by Yao Peng (1928524)

“…<p>Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.…”

Data of PV, WT, FC, and utilized coefficients. by Obaid Aldosari (19797428)

“…The main aim of the presented optimization strategy is to achieve the best possible balance between reducing expenses and lessening the environmental impact of greenhouse gas emissions. The krill herd algorithm (KHA) is used to find the optimal solutions while considering various nonlinear constraints. …”

The eVIP algorithm uses RNA-seq data to predict the function of somatic mutations. by Alexis M. Thornton (11068403)

Subjects:

Distribution of DLCO in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians. by Yuh-Chin T. Huang (17867207)

Subjects:

Three-dimensional function image for testing algorithm performance. by Jianpeng Zhang (528185)

Subjects:

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

Calculation results of commonly used machine learning algorithm models. by Qianhui He (13522729)

PREDICTING THE PERFORMANCE PARAMETERS OF CHISEL PLOW USING NEURAL NETWORK MODEL by Samy Marey (10383883)

“…Collected field data was divided into a training set (for predicting the required parameters) and testing set (for model validation). For the ANN algorithm, the number of hidden layers, neurons, and transfer functions were varied to construct different ANN architectures, which were then verified using various statistical criteria, such as mean absolute error. …”

TITR Algorithm Overview. The workflow of the TITR algorithm is shown describing each step, the tools used, specific conditions, and the output. by Bradley Crone (19346873)

Matlab code of a function used in S2 File. by Hiroko Kato Solvang (5718250)

RMSE results. by YueSheng Jiang (19267984)

“…Among all kinds of space-time fusion methods, Fit-FC space-time fusion method based on weight Function is widely used. …”

Results of the Kherson Area Visual Assessment. by YueSheng Jiang (19267984)

“…Among all kinds of space-time fusion methods, Fit-FC space-time fusion method based on weight Function is widely used. …”

Work flow chart. by YueSheng Jiang (19267984)

“…Among all kinds of space-time fusion methods, Fit-FC space-time fusion method based on weight Function is widely used. …”

Experimental data. by YueSheng Jiang (19267984)

“…Among all kinds of space-time fusion methods, Fit-FC space-time fusion method based on weight Function is widely used. …”