Applied Sciences in the modern world: problems and solutions

Three-dimensional (3D) feature stabilization is a crucial aspect in various fields such as computer vision, robotics, and augmented reality. It is essential to maintain the stability of identified features across frames for accurate analysis and reliable performance. In this paper, we propose an Artificial Neural Network (ANN) model designed specifically for 3D feature stabilization tasks. Our model uses the inherent capacity of neural networks to learn complex patterns and relationships within sequential data to effectively stabilize 3D features across consecutive frames.

Downscaling, the process of reducing the spatial resolution of an image, is a fundamental task in image processing with applications ranging from multimedia compression to real-time graphics rendering. In this paper, we present the development of an Artificial Neural Network (ANN) tailored specifically for downscaling an input image from an 8x8 resolution to a 2x2 resolution.

This article is devoted to improving the methodology of solving problems in physics. The study aims to improve students ' knowledge and skills in physics by analyzing the problem solving methodology of physics teachers and introducing new approaches. Based on the results of the study, it was found that the application of interactive methods, visual means and problematic teaching technologies is effective in solving issues in physics. The article may be useful to physics teachers and Methodists.

The article provides a comparative analysis of the development of the health insurance system and health insurance in financing the healthcare sector.