Використання нейронних мереж в адаптивних системах онлайн-медичної освіти на базі мікроконтролерів STM32 в умовах воєнних криз

Abstract

Adaptive online medical education systems that integrate neural networks and STM32 microcontrollers offer innovative solutions for effective learning in times of war crises. STM32 microcontrollers, with their powerful hardware architecture, ensure fast data processing and efficient interaction with peripheral devices, crucial for creating responsive adaptive systems. The application of reinforcement learning methods allows for personalized learning tailored to each student's individual needs, while neural networks analyze student performance data, optimizing educational programs. The proposed system combines advanced neural network technologies with high-performance STM32 microcontrollers, providing a personalized and adaptive approach to education in the context of military crises.