Thermodynamic modeling of VLE data for the two systems was undertaken using the homogeneous “Φ–Φ” approach, employing the Peng–Robinson equation of state with the Mathias–Copeman alpha function.

Mobility data creates traffic modeling opportunities, privacy challenges: MIT panel Panelists from TomTom and StreetLight Data described the benefits of abundant data as well as some shortcomings and ...

Extensive research efforts are dedicated to studying and understanding the dynamics of the crystallization of an active pharmaceutical ingredient (API), aiming to optimize product quality, yield, and ...

To address the challenge of multitarget parameters and nonstationary data streams in industrial data modeling, this article proposes a multitarget online fuzzy stochastic configuration network ...

In our increasingly digital economy, data is the oxygen that powers transformation, fuels artificial intelligence, drives regulatory compliance, and sharpens competitive advantage. From cloud ...

The findings demonstrate that big data analytics can significantly revolutionize healthcare by providing data-driven insights that inform treatment decisions, anticipate complications, and identify ...

Physical data model. The final layer is physical and represents a composition of host system artifacts—physical data objects—derived from a logical data model coupled with its desired storage ...

The initial evaluation of state-of-the-art models on DSBench has revealed significant gaps in current technologies. For example, the best-performing agent solved only 34.12% of the data analysis tasks ...

The tools provide advanced data intelligence, data quality, and data modeling capabilities aimed at helping customers ensure the AI readiness of their data, the company said.