Parameters of a single convolution layer. حسب Shuo Zhang (30844)

Comparison between ILSTM and machine learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)

Comparison between ILSTM and deep learning-based algorithms in binary classification. حسب Asmaa Ahmed Awad (16726315)

MSE for ILSTM algorithm in binary classification. حسب Asmaa Ahmed Awad (16726315)

"…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …"

Comparison of optimization algorithms. حسب Ning Ji (325849)

"…Subsequently, the GWO algorithm is used to optimize the number and the nodes of the hidden layer in the Dual-channel MLP-Attention model. …"

The optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Several loop patterns found in binary code. حسب Alba Pedro-Zapater (8600382)

Algorithm flow of the GA-BPNN model. حسب Xiying Wang (4859998)

الموضوعات:

Single cotton seed. حسب Xinwu Du (14626908)

RE for partial flow prediction results of single and dual water level models based on the GA-BP algorithm. حسب Xiying Wang (4859998)

الموضوعات:

Partial comparison of flow prediction results between single and dual water level models with the GA-BP algorithm. حسب Xiying Wang (4859998)

الموضوعات:

Genetic algorithm flowchart. حسب Wenguang Li (6528113)

"…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …"

The Search process of the genetic algorithm. حسب Wenguang Li (6528113)

"…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …"

Prediction performance of the EGA-BPNN model with different numbers of hidden layer nodes. حسب Xiying Wang (4859998)

الموضوعات:

Algorithm comparison. حسب Ning Ji (325849)

"…Subsequently, the GWO algorithm is used to optimize the number and the nodes of the hidden layer in the Dual-channel MLP-Attention model. …"

RGBD input layer. حسب Kritpawit Soongswang (19469311)

"…Our proposed algorithm identifies the optimal layer replication configuration for the model. …"

Genetic algorithm iteration data chart. حسب Wenguang Li (6528113)

"…Firstly, the dataset was balanced using various sampling methods; secondly, a Stacking model based on GA-XGBoost (XGBoost model optimized by genetic algorithm) was constructed for the risk prediction of diabetes; finally, the interpretability of the model was deeply analyzed using Shapley values. …"

RGB+D input layer. حسب Kritpawit Soongswang (19469311)

"…Our proposed algorithm identifies the optimal layer replication configuration for the model. …"

Process of GWO optimization. حسب Ning Ji (325849)

"…Subsequently, the GWO algorithm is used to optimize the number and the nodes of the hidden layer in the Dual-channel MLP-Attention model. …"