IEEE

A Prediction-Sampling-Based Multilayer-Structured Latent Factor Model for Accurate Representation to High-Dimensional and Sparse Data

Abstract: Performing highly accurate representation learning on a high-dimensional and sparse (HiDS) matrix is of great significance in a big data-related application such as a recommender system. A ...
IEEE

A Pure Data-Driven Method for Online Inertia Estimation in Power Systems Using Local Rational Model Approach

Abstract: This article presents an online data-driven method to estimate the inertia constant of synchronous generators (SGs) and the virtual inertia of converter-based resources (CBRs), which enables ...
Science|Business

Imperial and SOLVE Chemistry bring chemical reaction data to machine learning

Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...
Scientific Research Publishing

Pure Pineal Germinoma in a 17-Year-Old Adolescent: A Case Report and Literature Review ()

We report the case of a 17-year-old adolescent presenting with a large pineal region mass initially interpreted as a ruptured ...

Silanna Semiconductor Adds Feature-Rich DSPs to Configurable Plural ADC Family

SAN DIEGO, CA, UNITED STATES, January 5, 2026 /EINPresswire.com/ — Silanna Semiconductor today announced it has integrated a feature-rich DSP into its Plural™ family of high-speed, low-power ADCs. All ...