Furthermore, current methods of Salmonella resistance prediction include source codes, toolkits, and experimental flowcharts that ... support vector machines (SVM), resistance prediction neural ...

The new ensemble SVM can improve the performance of single binary-tree SVM. At the end, the new algorithm is applied to fault diagnosis of blast furnace faults and the Tennessee Eastman process (TEP).

Then genetic algorithm, grey wolf optimization algorithm and support vector machine fusion algorithm are used to predict the Network Security Service (NSS). The genetic algorithm is used to optimize ...

The study underscores the potential of bio-inspired algorithms like particle swarm optimization (PSO ... reducing computational overhead while maintaining high accuracy. Six models—SVM, KNN, CatBoost, ...

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 ...