Abstract: This paper proposes a short-term load forecasting method based on a GA-optimized CNN-LSTM model. The model combines the strengths of CNN in extracting local spatial features and LSTM in ...

Abstract: The dynamic variation of the stock market plays a crucial role in assessing a country’s economic power and development. Modeling the chaotic fluctuations in stock prices aids investors and ...

Nav-R1 is an embodied foundation model that integrates dialogue, reasoning, planning, and navigation capabilities to enable intelligent interaction and task execution in 3D environments. Embodied ...

Purpose is to easily be able to experiment and better understand what is happening currently and what might happen in the near future. What I learned: Activating containment measures early can save ...