adaptive learning

The Role of Artificial Intelligence in Enhancing Emotional Intelligence Competencies of Civil Servants

The article examines the role of artificial intelligence in improving the emotional and intellec- tual competencies of civil servants and assesses its impact on the quality of managerial decisions and communication processes in the public sector. The relevance of the study is driven by the need to adapt public administration personnel to the challenges of digital transformation, requiring enhanced com- munication skills, stress resistance, and the ability to make well-balanced decisions.

APPLICATION OF AN ADAPTIVE NEURAL NETWORK FOR THE IDENTIFICATION OF FRACTIONAL PARAMETERS OF HEAT AND MOISTURE TRANSFER PROCESSES IN FRACTAL MEDIA

Physics-Informed Neural Networks (PINN) represent a powerful approach in machine learning that enables the solution of forward, inverse, and parameter identification problems related to models governed by fractional differential equations. This is achieved by incorporating residuals of operator equations, boundary, and initial conditions into the objective function during training.

Personalized education plan construction using neural networks

In the paper, a personalized education planning system that utilizes neural networks and artificial intelligence to adapt learning paths for individual learners dynamically is presented.  The system employs neural networks to analyze learner profiles, preferences, and real-time performance data, enabling the generation of tailored study plans.  Neural networks are integral in predicting learner needs by analyzing past performance, learning style, and engagement patterns, allowing the system to recommend appropriate learning modules and optimal study schedules.  Addition