Eurasian Journal of Mathematical Theory and Computer Sciences

This paper addresses the problem of efficient speaker recognition on resource-constrained devices. The focus is placed on reducing memory and computational costs while preserving the discriminative power of the feature set. To achieve this, dimensionality reduction techniques such as Principal Component Analysis (PCA), Independent Component Analysis (ICA), Linear Discriminant Analysis (LDA), and the Genetic Algorithm (GA) were applied. Experimental results demonstrate that these approaches significantly reduce memory usage and computational complexity while maintaining high recognition accuracy. The proposed methodology is particularly suitable for mobile devices and real-time systems with limited resources

This article highlights the role of nanostructured materials in improving energy efficiency, their applications in aerospace engineering, and their significance for sustainable development. The high mechanical strength, thermal stability, and functional properties of nanomaterials have enabled their widespread use in aerospace technologies. Research indicates that employing nanostructured materials represents a strategic direction in reducing energy consumption and minimizing negative environmental impacts.