As retail organizations navigate shifting consumer expectations and supply chain complexities, the role of data and ...

During the COVID-19 crisis period, when GDP growth became unusually volatile, the advantages of deep learning became even ...

A hybrid ensemble learning approach is proposed for financial time series forecasting combining AdaBoost algorithm and long short-term memory (LSTM) network. First, LSTM predictor is trained using the ...

The 2023 paper “Time Series-Based Quantitative Risk Models: Enhancing Accuracy in Forecasting and Risk Assessment” by Olanrewaju Olukoya Odumuwagun, published in the International Journal of ...