This study presents novel deep neural networks (DNNs) that integrate a thorough data preparation process, including … predictions. This study presents valuable insights into applying deep neural networks (DNNs) for financial forecasting. It is an …

-driven strategy for finding longterm investment returns by leveraging recurrent neural networks (RNNs) to forecast fund performance …

review analysis comprehensively explores the cooperation between neural networks and human resource management (HRM). Through …, Vosviewer, biblioshiney. The findings of this bibliometric analysis suggest that neural networks are a vital concept for HRM in … convolutional neural networks and forecasting to machine learning and artificial intelligence in the field of HRM. By bridging the …

-driven urban growth model for Ar-Ramtha. A hybrid model combining artificial neural networks (ANN) and neighborhood analysis was …

and traffic. Our approach integrates graph neural networks to encode spatial problem structure and proximal policy …