A look at how modern electric actuators combine mechanical innovation with digital control, enabling rapid product ...

Abstract: Auto-encoders have emerged as a successful framework for unsupervised learning. However, conventional auto-encoders are incapable of utilizing explicit relations in structured data. To take ...

We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...

Heidenhain has expanded its absolute rotary encoder offering with the new RIQ/IQN 425 series. These sturdy, inductive rotary encoders were designed for use in applications in the automation and wind ...

Abstract: Change detection is a critical task in earth observation applications. Recently, deep-learning-based methods have shown promising performance and are quickly adopted in change detection.

Product labels. They're those little stickers, tags, and wrappers that adorn every packaged product on store shelves. Most of us barely notice them as we toss items into our carts. But make no mistake ...