AIOps changes this by applying machine learning and advanced analytics. Consequently, the managed NOCs gain context, ...

Abstract: This letter introduces a robust Model Predictive Control approach in which a shrinking prediction horizon and a system input parameterization are exploited to control a linear system with ...

Abstract: This paper focuses on developing a predictive analytics application tailored for the automotive industry. The primary aim is to harness vast quantities of data from vehicle operations and ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

As enterprises modernize, the question is no longer whether to use SAP or non-SAP tools, but how to make them work together ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.