Hyperspectral unmixing (HU) is an important task for remotely sensed hyperspectral (HS) data exploitation. It comprises the identification of pure spectral signatures (endmembers) and their ...

This article primarily investigates big data mining algorithms based on the rapid Spark AI architecture. By analyzing the core technologies of the Spark framework and its applications in big data ...

The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.

In Part 1, we explored the challenges of implementing machine learning and real-time analytics in semiconductor ...

In the fast-paced field of High Performance Computing (HPC), the convergence of Artificial Intelligence (AI) and Big Data Analysis signals a groundbreaking ...

Consider optical transmitters. From the viewpoint of semiconductor laser diodes, the GaAlAs material system can cover the wavelength range from 700 nm to 1 000 nm, while InGaAsP can cover 1 000 nm to ...

A curated collection of probabilistic and streaming algorithms implemented in Go. Foundational to big data, distributed systems, and real-time analytics - Releases · wvsr/probabilistic-algorithms-go ...