Structured maturity models can address program, reliability and safety improvements while ensuring regulatory compliance.

pyforce is a Python package implementing Data-Driven Reduced Order Modelling (DDROM) techniques for applications to multi-physics problems, mainly set in the Nuclear Engineering world. These ...

The framework can both utilize the logicality of traditional model-driven methods, and the high efficiency of data-driven methods for parameters optimizing. Simulated and actual experiments ...

Here, we developed an automated computational framework to curate and prepare datasets, to generate and validate predictive ML models, and to perform virtual screening (VS) of chemical libraries using ...

Extensive penetration of distribution energy resources (DERs) brings increasing uncertainties to distribution networks. Accurate topology identification is a critical basis to guarantee robust ...

Data-driven model-based framework to rationally improve cell culture media . Cell culture medium constitutes the highest cost for bioprocessing; commercially available medium is used to increase ...

1. Introduction. Consumer-driven banking, also known as open banking or consumer-directed finance, refers to frameworks that allow consumers and small businesses Footnote 1 to securely transfer their ...

Validate the data-driven insights and confirm your hypothesis by testing on a small scale of users first. A/B testing is a popular method for evaluating the effectiveness of different approaches.