Abstract: In this work the biostimulation strategy was investigated in soil microcosms to enhance indigenous microorganism activity in presence of diesel oil pollutant. Two mineral salt media, one specific for bacteria and the other specific for fungi, and different glucose concentrations were tested. From respirometric analyses (i.e. CO2 production) and biomass dry weight results, it was observed that mineral salt medium favoring bacterial growth was more effective in promoting microbial activity in contaminated soil, also in the presence of diesel oil as sole carbon source.

• Publication Date: 29-Apr-2018
• DOI: 10.15224/978-1-63248-148-1-03
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Abstract: The goal of this contribution is to find out a set of Y slices (coronal slices) from MRIs of patients with Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI), and Normal images, that provides the maximum accuracy in a multiclass classification system. Images are preprocessed and 2D wavelet coefficients are extracted to form a feature matrix. Using a feature selection algorithm called mRMR, the best features from the matrix are extracted; then, the dimension of the feature vectors is reduced using PCA and finally, it is used to train an SVM to perform multi-class classification. In order to find the best combinations of coronal slices, a multi-objective genetic optimization methodology based on NSGA-II is used and a set of different solutions are extracted from the Pareto front. More relevant solutions are selected using more flexible criteria than that of the Pareto front, and examine what slices and accuracies are achieved. The multi-classification accuracies obtained by the pr

• Publication Date: 29-Apr-2018
• DOI: 10.15224/978-1-63248-148-1-04
• Views: 0
• Downloads: 0