IEEE

A Deep Learning-Based Approach for Two-Phase Flow Pattern Classification Using Void Fraction Time Series Analysis

Abstract: Flow regime classification is essential for analyzing and modeling two-phase flows, as it demarcates the flow behavior and influences the selection of appropriate predictive models. Machine ...
IEEE

Data-Driven Predictive Control Using Closed-Loop Data: An Instrumental Variable Approach

Abstract: Current data-driven predictive control (DDPC) methods heavily rely on data collected in open-loop operation with elaborate design of inputs. However, due to safety or economic concerns, ...
InfoWorld

Python vs. Kotlin: Which loops do you like better?

AI and machine learning outside of Python Python might be the best, but it’s not your only choice for AI and machine learning. Here’s what you need to know about using Java, Rust, Go, or C#/.Net for ...