Abstract: Global Navigation Satellite System based interferometric synthetic aperture radar (GNSS-based-InSAR) can overcome the limitations of repeat-pass time by receiving signals from different ...

Gas chromatography and HPLC modeling have evolved, providing diverse tools for method development and chromatographic behavior prediction. Empirical DoE and first-principles approaches offer distinct ...

Abstract: For the sake of complex analysis requirements of drilling fluid analysis system, this paper proposes a multidimensional data model and implement the solution of data mart due to the ...

I would like to propose the added ability to allow multidimensional sample weighting when using multiple targets I mainly had this in mind for multiregression models ...

A new data-driven technique for obstacle avoidance in autonomous vehicles is reported in the International Journal of Vehicle Design. The approach might overcome many of the longstanding challenges in ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

In this tutorial, we demonstrate the integration of Python’s robust data manipulation library Pandas with Google Cloud’s advanced generative capabilities through the google.generativeai package and ...

My name is Bill Burkett, and I am a data modeler. I don’t call myself that often and sometimes have misgivings about doing so. I often get the feeling that being a “data modeler,” when considered in ...