Measuring Innovation Patterns in Iran and Neighboring Countries: A Time Series Similarity Approach Using STL and Dynamic Time Warping

Ähnliche Einträge

• Daily Forecasting for Annual Time Series Datasets Using Similarity-Based Machine Learning Methods: A Case Study in the Energy Market
  von: Goldani, Mahdi
  Veröffentlicht: (2025)
• Safety and Security Dynamics in Gulf Cooperation Council (GCC) Countries: A Machine Learning Approach to Forecasting Security Trends
  von: Goldani, Mahdi
  Veröffentlicht: (2024)
• A Numerical Assessment for Predicting Human Development Index (HDI) Trends in the GCC Countries
  von: Goldani, Mahdi
  Veröffentlicht: (2024)
• Evaluating Feature Selection Methods for Macro-Economic Forecasting, Applied for Inflation Indicator of Iran
  von: Goldani, Mahdi
  Veröffentlicht: (2024)
• Sensitivity Assessing to Data Volume for forecasting: introducing similarity methods as a suitable one in Feature selection methods
  von: Goldani, Mahdi, et al.
  Veröffentlicht: (2024)