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)

The parameter settings of the RF algorithm after parameter optimization. حسب Xini Fang (20861990)

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. …"

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

The confusion matrix for six algorithmic models. حسب Chan Xu (1510759)

Parameter optimization results of the RF model improved by FCM clustering. حسب Xini Fang (20861990)

Optimized model prediction performance. حسب Guang Tu (22054865)

Calibration plot of the apparent and optimism-corrected models. حسب Dominika Szabo (14129304)

Flowchart of simple ant colony algorithm. حسب Yang Yu (4292)

"…Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …"

Changes of risk value under different parameters. حسب Yang Yu (4292)

"…Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …"

Comparison of ROC performance before and after optimization. حسب Guang Tu (22054865)

The robustness test results of the model. حسب Xini Fang (20861990)

"…<div><p>To enhance the accuracy and response speed of the risk early warning system, this study develops a novel early warning system that combines the Fuzzy C-Means (FCM) clustering algorithm and the Random Forest (RF) model. …"

Variable importance of features included in the gradient boosting machine learning (XGB) algorithm for predicting postinduction hypotension. حسب Manabu Yoshimura (11040049)

Business priorities. حسب Yang Yu (4292)

"…Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …"

Topology of 14-node communication network. حسب Yang Yu (4292)

"…Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …"

Routing policy based on path satisfaction. حسب Yang Yu (4292)

"…Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …"

Performance of active and standby paths. حسب Yang Yu (4292)

"…Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …"

DATA. حسب Yang Yu (4292)

"…Utilizing this model, an enhanced Risk-Time Ant Colony Optimization (RT-ACO) routing algorithm is proposed, which builds upon the traditional ant colony algorithm. …"

Construction process of RF. حسب Xini Fang (20861990)

"…<div><p>To enhance the accuracy and response speed of the risk early warning system, this study develops a novel early warning system that combines the Fuzzy C-Means (FCM) clustering algorithm and the Random Forest (RF) model. …"