Soft measurement based on data-driven models is widely used to predict key variables in process industry due to low cost and real-time capability. However, these models struggle with noisy datasets ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what they have learned to make predictions or to create new content. The quality ...

In today's competitive environment, process industry companies are focused on two key objectives: profitability and delivering value to customers. However, these objectives are often disparate goals ...