Interpretable deep learning network significantly improves tropical cyclone intensity forecast accuracy

Predicting tropical cyclones (TCs) accurately is crucial for disaster mitigation and public safety. Although the forecasting accuracy of TC tracks has improved substantially in recent decades, ...
IEEE

Enhancing Sales Forecasting in E-Commerce Through Advanced Predictive Analytics and Deep Neural Networks

Abstract: Within this context, this research is aimed at enhancing the sales forecasting in e-commerce using the newer approaches of predictive analytics and deep neural networks. There usually is ...
IEEE

Recurrent Neural Networks for Efficient Solutions to Time-Series Forecasting in Complex Mathematical Models

Abstract: Time series Forecasting plays a major role mainly in areas including finance, health, and meteorology. Although, classical forecast methods, including ARIMA models and feedforward neural ...