Georgia Tech researchers have created a new AI model for decision-focused learning (DFL), called Diffusion-DFL. Recent tests ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

1 Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. 2 Faculty of Electrical Engineering, Universiti Teknologi MARA, Cawangan Johor, Pasir Gudang, ...

Evaporation is a critical process in the concentration of orange juice, affecting product quality and process efficiency. This study develops a comprehensive mathematical model based on mass and ...

In the latest post of the Ask the Automation Pros blog series, the pros discuss useful books for process control. Basic and Advanced Regulatory Control: System Design and Application by Harold Wade is ...

In recent years, the food industry has witnessed growing interest in novel processing technologies driven by the need for improved sustainability, product quality, and process efficiency. Technologies ...

Large language models (LLM) and generative AI (genAI) are proving increasingly strategic for enterprises across all industries. However, there will be certain impacts of this revolution on the ...

Abstract: In the process industries, nonlinear and large time-delay systems pose significant challenges for efficient model predictive control (MPC). The advent of deep learning offers innovative ...

This review synthesizes methods for measuring, modeling, and managing hydrologic connectivity, offering pathways to improve practices and address environmental challenges (e.g., climate change) and ...

Abstract: This article explores the application of process mining techniques to dynamically observe operations and enhance production planning efficiency in assemble-to-order (ATO) manufacturing ...