Forecasting stock prices in emerging markets is challenging due to market inefficiencies, low liquid
This study develops and evaluates machine learning (ML) models for forecasting suspended sediment lo
Most of the research in time series is concerned with point forecasting. In this paper we focus on i
International audience In the coming years, the world will witness a global transitio
This research presents a novel approach to mid-term electrical load forecasting using Convolutional