China’s microelectromechanical systems (MEMS) sensor industry is surging, but technical gaps, fragmented production and coordination challenges hinder its full potential. As global demand accelerates, ...

Nature Sensors publishes fundamental, applied, and engineering research across the full spectrum of sensing technologies, spanning biological, computational, engineering, and systems domains. The ...

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.

Abstract: Recent deep learning methods for vessel trajectory prediction are able to learn complex maritime patterns from historical automatic identification system (AIS) data and accurately predict ...

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 ...