In biopharmaceutical manufacturing the interactions between cells, nutrients, and reagents in culture determine product quality. The big challenge for process developers is modeling these complex ...
Process engineers and integrators can use virtual process modeling to test alternative process schemes and architectures without relying on wafer-based testing. One important aspect of building an ...
Software AG is enhancing its Aris process mining and Alfabet portfolio management products with generative artificial intelligence capabilities in announcements at its International User Groups ...
The semiconductor industry continually pushes the boundaries of device performance through advanced process modelling and epitaxial growth techniques. In this context, sophisticated simulation methods ...
Software AG last week announced AI-powered capabilities designed to broaden access to its ARIS process intelligence and Alfabet IT asset management products. Attendees at the company's annual ...
Conceptual modelling and business process analysis constitute a critical nexus in understanding and refining organisational workflows. At its core, conceptual modelling involves the abstraction and ...
The environmental impact of drug production has been under the spotlight in recent years. Initially, the small-molecule sector was the focus with reports linking the poor treatment of wastewater at ...
Impacts on breast cancer screening by targeting high-risk individuals through the utilization of allied health members in rural India. This is an ASCO Meeting Abstract from the 2022 ASCO Quality Care ...
With continuous device scaling, process windows have become narrower and narrower due to smaller feature sizes and greater process step variability [1]. A key task during the R&D stage of ...
Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...
Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...
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