Data collision free processing unit. by Ayesha Waris (21368446)

CNN-GRU based on GA. by Jianpeng Zhang (528185)

“…GA is used to optimize the feature selection process to identify the key feature subsets that have the greatest impact on model performance. …”

Block diagram of 2-DOF PIDA controller. by Erdal Eker (19251018)

“…The proposed GCRA-based 2-DOF PIDA controller is evaluated through extensive simulations and compared against state-of-the-art metaheuristic tuning approaches, including polar fox optimization (PFA), hiking optimization (HOA), success-history based adaptive differential evolution with linear population size reduction (L-SHADE), and particle swarm optimization (PSO), as well as several benchmark furnace control methods. …”

Zoomed view of Fig 7. by Erdal Eker (19251018)

“…The proposed GCRA-based 2-DOF PIDA controller is evaluated through extensive simulations and compared against state-of-the-art metaheuristic tuning approaches, including polar fox optimization (PFA), hiking optimization (HOA), success-history based adaptive differential evolution with linear population size reduction (L-SHADE), and particle swarm optimization (PSO), as well as several benchmark furnace control methods. …”

Zoomed view of Fig 10. by Erdal Eker (19251018)

“…The proposed GCRA-based 2-DOF PIDA controller is evaluated through extensive simulations and compared against state-of-the-art metaheuristic tuning approaches, including polar fox optimization (PFA), hiking optimization (HOA), success-history based adaptive differential evolution with linear population size reduction (L-SHADE), and particle swarm optimization (PSO), as well as several benchmark furnace control methods. …”

Iterative Registration and Clustering (IREC) Algorithm: The input image stack (<i>S</i>) is first aligned and grouped using registration and clustering (REC) based on an initial re... by Creighton M. Lisowski (22756444)

Wrapper-based feature selection methods. by Xiaohua Zeng (793632)

Construction process of XGBoost model. by Huijun Chen (148680)

Training process of model construction. by Huijun Chen (148680)

Training implementation process of the model. by Huijun Chen (148680)

1d-MSCNN + GRU model process. by Jianpeng Zhang (528185)

“…GA is used to optimize the feature selection process to identify the key feature subsets that have the greatest impact on model performance. …”

Comparison of methods on the USPS dataset. by Mohammed Shalaby (18297650)

Comparison of methods on the Banana dataset. by Mohammed Shalaby (18297650)

Comparison of methods on the Adult9a dataset. by Mohammed Shalaby (18297650)

Data_Sheet_1_Computational Methods for Continuous Eye-Tracking Perimetry Based on Spatio-Temporal Integration and a Deep Recurrent Neural Network.pdf by Alessandro Grillini (4391917)

Table_1_Application of Adaptive Neuro-Fuzzy Inference System-Non-dominated Sorting Genetic Algorithm-II (ANFIS-NSGAII) for Modeling and Optimizing Somatic Embryogenesis of Chrysant... by Mohsen Hesami (6917390)

“…<p>A hybrid artificial intelligence model and optimization algorithm could be a powerful approach for modeling and optimizing plant tissue culture procedures. …”

Data set and experimental parameters. by Guilian Feng (18530806)

“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”

Dataset and experimental parameters. by Guilian Feng (18530806)

“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”

The impact of different k-value classifications. by Guilian Feng (18530806)

“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”

Chi-square test analysis. by Guilian Feng (18530806)

“…In order to improve the efficiency and accuracy of high-dimensional data processing, a feature selection method based on optimized genetic algorithm is proposed in this study. …”