Given the diversity of ruthenium complexes reported in the literature, we propose the following classification of antimicrobial ruthenium complexes based on the guidelines for the categorization of metal anticancer compounds proposed before (Gianferrara, Bratsos, & Alessio, 2009). The classification is ba...
In these work, the authors suggest a classification by organizing fractional operators into classes having different types of properties. One of them, local and non-local operators. Here, Riemann–Liouville derivative is considered non-local because it does not only depend on the behavior of a ...
SVM is a kernel-based learning method that is extensively employed for pattern classification and model regression, belonging to the nonlinear modeling technique [41,42]. In the modeling process, SVM algorithm maps original input data into a high-dimensional feature space through a kernel function ...