AI-driven process monitoring enhances the qualification of additively manufactured stainless-steel parts. By analysing high-frequency welding current and voltage signals in both the time and frequency ...

It’s not, “You say ‘tomato’ and I say ‘tomahto.’ ” With advanced process controls (APCs), you either know what they are or you don’t. If you do know, you know they give for-real, money-in-your-pocket ...

The rising complexities of semiconductor processes and design are driving an increasing use of on-chip monitors to support data analytics from an IC’s birth through its end of life — no matter how ...

The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...

Thermal power plants, nuclear and fossil-fueled, rely on cooling water intake structures (CWIS) to withdraw water for rejecting waste heat. The CWIS serves as a critical interface between engineered ...

A recent study shows the radio frequency (RF) filter market growing steadily by nearly $16 billion from 2019 to 2024 at a compound annual growth rate (CAGR) of approximately 20%, according to ...

These models can be used either offline to provide the optimal process cycle, or online to provide optimal, real-time process control [3]. This is the target of the iREMO project (www.iremo.eu), an EC ...

N-linked glycosylation and other post-translational protein modifications require close monitoring during biomanufacturing, especially in continuous biomanufacturing environments. Researchers at ...

This article outlines improvements and changes to non‐viable particle monitoring (NVP), sometimes referred to as total particulate monitoring, which during aseptic processing, is a regulatory ...