Data sample for the total number of airline passengers at six airports (general directorate of state airports authority, 2019), approximate-area measurements, and average number of... حسب Emre Demir (6190242)

Failure Samples and Fitting Results. حسب Dongyan Wang (195482)

Deterministic-optimal policy in the EGT-model. حسب MingYi Wang (2807581)

Plots of steady-state frequency control. حسب Salisu Mohammed (772274)

"…The optimization problem was formulated based on the network power flow and the discrete-time sampling of the constrained control parameters. …"

Plots of steady-state voltage control. حسب Salisu Mohammed (772274)

"…The optimization problem was formulated based on the network power flow and the discrete-time sampling of the constrained control parameters. …"

Plots of steady-state input trajectory. حسب Salisu Mohammed (772274)

"…The optimization problem was formulated based on the network power flow and the discrete-time sampling of the constrained control parameters. …"

Two-dimensional benchmark test-functions. حسب Salisu Mohammed (772274)

"…The optimization problem was formulated based on the network power flow and the discrete-time sampling of the constrained control parameters. …"

Block diagram of autonomous microgrid. حسب Salisu Mohammed (772274)

"…The optimization problem was formulated based on the network power flow and the discrete-time sampling of the constrained control parameters. …"

Thirty-dimensional benchmark test-functions. حسب Salisu Mohammed (772274)

"…The optimization problem was formulated based on the network power flow and the discrete-time sampling of the constrained control parameters. …"

Performance of algorithms outside the training species. حسب Sven B. Gould (12237287)

Iteration diagram of genetic algorithm. حسب Ke Peng (2220973)

"…The results show that: (1) The applied SMOTEENN is more effective than SMOTE and ADASYN in dealing with the imbalance of banking data. (2) The F1 and AUC values of the model improved and optimized by XGBoost using genetic algorithm can reach 90% and 99%, respectively, which are optimal compared to other six machine learning models. …"

Genetic algorithm flow chart. حسب Ke Peng (2220973)

"…The results show that: (1) The applied SMOTEENN is more effective than SMOTE and ADASYN in dealing with the imbalance of banking data. (2) The F1 and AUC values of the model improved and optimized by XGBoost using genetic algorithm can reach 90% and 99%, respectively, which are optimal compared to other six machine learning models. …"

Sample of train service network. حسب Jiren CAO (20442214)

Results of genetic algorithm tuning parameters. حسب Ke Peng (2220973)

"…The results show that: (1) The applied SMOTEENN is more effective than SMOTE and ADASYN in dealing with the imbalance of banking data. (2) The F1 and AUC values of the model improved and optimized by XGBoost using genetic algorithm can reach 90% and 99%, respectively, which are optimal compared to other six machine learning models. …"

Importance ranking and 10-fold cross-validation of the analyzed variables using a random forest model to determine the optimal number of variables. حسب Xin Luo (428648)

General overview of the total model. حسب Xueliang Guo (4797057)

Sample screening flowchart. حسب Meng Cao (105914)

The nitrogen content of the leaf samples. حسب Yongmei Li (227480)

Algorithm for MFISTA-VA [30]. حسب Faisal Najeeb (20542714)

"…GRASP uses Temporal Total Variation (TV) norm as a sparsity transform to promote sparsity among multi-coil MRI data and Nonlinear Conjugate Gradient (NL-CG) algorithm to obtain an optimal solution. …"

Details underlying our iterative forward sampling algorithm using MCTS. حسب Gwangho Lee (11027565)

"…<p>The process (third iteration in terms of total <i>N</i>) illustrates the internal process of our sampling algorithm. …"