Predictive maintenance (PdM) is a data-driven maintenance strategy that aims to avoid unplanned downtimes by predicting …

artificial intelligence (AI) and machine learning (ML) technologies to address gaps in identifying predictive factors … necessity of integrating diverse predictive factors, innovative data sources, and advanced ML techniques to develop robust and … way for more reliable and real-time predictive models that can enhance decision-making in dynamic market environments …

space of innovation distribution functions) in autoregressive, predictive regression and local projection models, thereby …

We examine predictive machine learning studies from 50 top business and economic journals published between 2010 and … 2023. We investigate their transparency regarding the predictive performance of machine learning models compared to less … journals. Our analysis also reveals that 28% of studies do not benchmark the predictive performance of machine learning models …

This paper employs predictive regressions to explore the predictability of sovereign Credit Default Swap (CDS) spread …

We examine predictive machine learning studies from 50 top business and economic journals published between 2010 and … 2023. We investigate their transparency regarding the predictive performance of machine learning models compared to less … journals. Our analysis also reveals that 28% of studies do not benchmark the predictive performance of machine learning models …