channels, this paper builds a novel climate economy model using nonlinear model predictive control. Moreover, using time …

literature by introducing a predictive framework that informs policymakers and industry leaders on the key levers for improving …

research try to provide:•Exhibiting the ML algorithms in the manufacturing shop floor for predictive analysis. •Effective … creation of value across the supply chain process by applying predictive analysis. The paper has conducted a literature review … around industry 4.0 trends and the trend for predictive models for shop floor level machine operation with a focus on …

business process analytics. Organizations strive to leverage predictive process analytics to obtain insights. However, current … heterogeneous data sources. The paper proposes a method for predictive end-to-end enterprise process network monitoring leveraging …

scenarios from the fields of industrial maintenance and predictive business process monitoring. In this way, we demonstrate how …

This article presents a comprehensive study on developing a predictive product pricing model using LightGBM, a machine …