Six models—SVM, KNN, CatBoost ... More information: Mourad Benmalek et al, Particle swarm optimization-enhanced machine learning and deep learning techniques for Internet of Things intrusion ...

The performance of five machine learning algorithms (logistic regression, support vector machine, random forest, XGBoost and CatBoost) was evaluated using accuracy, sensitivity, specificity, positive ...

Figure 3. Timeline of the development of AI algorithms. Key machine learning (ML) algorithms include PCA, K-Means, Decision Trees, SVM, and RF, while significant deep learning (DL) algorithms include ...

Six models—SVM, KNN, CatBoost, Naive Bayes ... More information: Mourad Benmalek et al, Particle swarm optimization-enhanced machine learning and deep learning techniques for Internet of Things ...

By studying the classification and detection pattern matching of communication network intrusion behavior, extracting the intrusion behavior features of communication network based on FS algorithm, ...

Methods: Transcriptome datasets from the Gene Expression Omnibus (GEO) database were analyzed using differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine ...