Funded under the TÜBİTAK 1001 program, project 124F095, titled “Detection of Stationarity in Time Series Using Artificial Intelligence” aims to identify stationarity properties in time series through artificial intelligence and deep learning techniques. Running from October 2024 to October 2026, the project focuses on developing alternative and complementary approaches to conventional statistical tests, with the goal of improving the accuracy and reliability of time series analysis.