A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...

This article summarizes the main results and contributions of the MagNet Challenge 2023, an open-source research initiative for data-driven modeling of power magnetic materials.

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 ...

Researchers in Sweden have developed a method to use LiDAR data to enable more precise tilt and azimuth modeling of solar PV and solar thermal capacity at a regional or substation level. The model ...

Data lakes and data warehouses are achieving a measure of success in modern data architectures, but the emergence of the data lakehouse offers new challenges and opportunities for database ...

Understanding pointers and references in Go can be challenging for many developers, especially those new to low-level programming languages. In this article, I’ll walk you through a program that ...

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 ...