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Impact Factor: 1.594 p-ISSN: 0167-2789 e-ISSN: 1872-8022 DOI: Keywords in English: dynamical system model reduction POD Galerkin method chemical reactor with recycle chaos sampling Keywords in Polish: układ dynamiczny redukcja modelu POD metoda Galerkina reaktor chemiczny z recyrkulacją Publication type: A Publication language: ENG Territorial reach: Z Affiliation: work afilliated Full text: 2/2 Record identifier: 0000010998 Title: Zależność wymiaru fraktalnego rozwiązań dynamicznych modelu rurowego reaktora chemicznego z recyrkulacją masy od parametrów układu English title: Relationship between a fractal dimension of dynamical model solusions of tubular chemical reactor with mass recycle and parameters Authors: Marek* Berezowski, J.
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Read more.Number of records found: 2 Shortcut to display change option | Print | Download results to word processor | Send result to analysis module | New search 1/2 Record identifier: 0000072034 Title: Optimal model reduction by empirical spectral methods via sampling of chaotic orbits Authors: K. Seamlessly combining insights from new data sources, such as high volume clickstream data, with traditional core banking data helps Aktia become even more customer-driven than before.
We have created a pioneering cloud-based data lake for Aktia. Read more.Ī pioneering data lake project with Aktia To transform into a pharma company of the AI age, we’ve supported Orion to introduce AI into company operations across the board, utilize all available data, and build the capability to quickly adapt in an ever-changing world. Read more.īuilding the world’s smartest pharma company with Orion Together we have, for instance, implemented machine learning for food search and recommendations in their online grocery stores. With complete ownership of their AI roadmap, Kesko has various business-critical machine learning applications in production. We’ve been an integral part of Kesko’s AI journey, significantly ramping up their capabilities. Moving efficiently from Data Science to AI with Kesko
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Focusing on problems that are the easiest to crack won’t take you forward – if they were crucial to your business, they would have been resolved already.ĪI is an investment beyond money: it requires continuous learning, cross-functional collaboration – and sometimes even a complete revamp of your practices, processes, and culture. Instead of going for the low-hanging fruits, organizations should look for the opportunities that create the most value. Harnessing AI to its full potential, however, takes more than an experiment here and there.
1 2 3 4 In chemical engineering, it is generally understood to be a process vessel used to carry out a chemical reaction, 5 which is one of the classic unit operations in chemical process analysis. Catching up with the competition is still possible for almost anyone, especially with so many open-sourced machine learning innovations widely available. A chemical reactor is an enclosed volume in which a chemical reaction takes place. W: 8th IFAC Symposium on Mechatronic Systems (MECHATRONICS 2019) and the 11th IFAC Symposium on Nonlinear Control Systems (NOLCOS 2019). Aut.: Piotr Skupin, Piotr aszczyk, Mieczysaw Metzger. This provides immense potential for companies at all stages of technological maturity. Nr opisu: 0000132269 Bifurcation analysis of a hybrid continuous stirred tank reactor with imperfect mixing in the cooling jacket. Yet, only a few companies are truly changing their business with AI: 80% of the companies are still in the proof-of-concept factory phase, and less than 20% are scaling AI. We are on the verge of widespread adoption of artificial intelligence in business and society at large.
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