Abstract: This paper presents a comprehensive approach for forecasting weather parameters such as temperature, humidity, and wind speed, using ML and DL techniques. The dataset with weather data ...
Abstract: In this paper, the diffusion and flow effects of nuclear wastewater in the ocean are considered, and an advection-diffusion model is developed, based on which numerical simulations are ...
This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...
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