Abstract: Deep learning can effectively extract latent information from data to enhance target-background separation in hyperspectral target detection (HTD). However, these models typically require ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Here’s a RoundUp of this week’s must-read articles – we’ll delve into the latest developments on Linear Complementarity Models, AlN MOSFET, and SiCore Battery! Here’s a RoundUp of this week’s ...

This lesson will be more of a code-along, where you'll walk through a multiple linear regression model using both statsmodels and scikit-learn. Recall the initial regression model presented. It ...

This week, some auto industry observers felt a creeping sense of déjà vu. Seemingly out of nowhere, a Chinese firm made international headlines by besting Western companies at the tech they supposedly ...

A variety of linear models are available to represent common active electronic devices such as transistors and vacuum tubes. Devices operating under large-signal conditions often require nonlinear ...

How do we build thriving rural communities in the 21st century? The labor-intensive, extractive industries paradigm that has long powered rural economies—think agriculture, manufacturing, mining, ...

From a young age, I collected role models. In school, as a teenager, I tried to channel Beyoncé. In the working world, after my first big promotion in retail operations, I paid close attention to our ...

Abstract: Network-constrained unit commitment (UC) problem typically uses a linear approximation of AC constraints to guarantee solution efficiency. However, the key difficulty current linearization ...