Примена кубернетеса и машинског учења у развоју система за временску прогнозу
This paper presents the development of a scalable and automated system for real-time temperature prediction that integrates Kubernetes, Docker, and LSTM neural networks. The system architecture is based on a microservices model, including services for prediction, data management, visualization, and task scheduling. The...