Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning ...

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Abstract: The adoption of data-driven Digital Twins in smart manufacturing systems necessitates robust, data-driven modeling techniques. Stochastic Petri nets offer a formal framework for capturing ...

In this tutorial, we’ll build a powerful, PDF-based question-answering chatbot tailored for medical or health-related content. We’ll leveRAGe the open-source BioMistral LLM and LangChain’s flexible ...

Data analytics is the process of analysing data to draw useful conclusions. Insights derived from data have many uses and this is especially true for healthcare. As healthcare has embraced digital ...

Department of Advanced Science and Engineering, Graduate School of Advanced Science and Engineering, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan Department of Advanced Science ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package ...

Freezing of gait (FoG) is typically a symptom of advanced Parkinson's disease (PD) that negatively influences the quality of life and is often resistant to pharmacological interventions. Novel ...

Objectives Traditional methods for creating food composition tables struggle to cope with the large number of products and the rapid pace of change in the food and drink marketplace. This paper ...

Solid Earth geoscience is a field that has very large set of observations, which are ideal for analysis with machine-learning methods. Bergen et al. review how these methods can be applied to solid ...