Recent research has focused on developing new ... new majorization relations that can be useful in spectral theory and matrix analysis[4]. Lastly, the introduction of low phase-rank approximation ...
This field has significant implications in various domains, including physics, computer science, and network theory. Recent research has ... As the size of the matrix increases, the density ...
However, the existing methods face challenges in the estimation of small-magnitude process noise covariance matrix (PNCM), which often occurs in engineering applications. The purpose of this paper, ...
Research interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world’s best researchers, interns learn, collaborate, and network for life. Interns not only ...
There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.
They share ideas. They co-develop products. Anyone doubting that should take a look at the 2003 Pontiac Vibe and the 2003 Toyota Matrix. They are practically identical car-wagon utility vehicles ...
In this edition: Privacy enhancements for multiparty deep learning; using smaller, open-source models to provide relevance judgments; new tool uses AI, data to ...