The past decade has witnessed significant advances in time series modeling with deep
learning. While achieving state-of-the-art results, the best-performing architectures vary …

Data-driven approaches using deep neural networks have been successful in modeling
complex financial time series and generating accurate predictions without requiring …

The aim of this study is to forecast the revenue of a seller taking part in an online e-
commerce marketplace by using hybrid intelligent methods to help the seller build a solid …

Accurate forecasting of a company's financial performance is critical to capital market
management and analysis. Thus, building a framework that is able to produce highly reliable …

Financial planning involves systematical forecasting and calculation of cash and financial
flows into and out of the company. Financial planning is the reconciliation of cash inflows …