Inspired by the natural spider web structure, this study innovatively designed an omnidirectional strain sensor array with a ...
Contributed by Kevin Andrews, Trimble Applanix The ambitious advances made under the umbrella of autonomy have provided the ...
Abstract: With the increasing demand for intelligent diagnosis in modern industry, multi-sensor collaborative fault diagnosis technology has been widely developed. However, these studies focus on ...
Abstract: The multi-bit distributed decision fusion rules for the multi-hop multi-relay Wireless Sensor Networks (WSNs) is investigated. Specifically, the binary information of interest is observed ...
Object anomaly detection is essential for industrial quality inspection, yet traditional single-sensor methods face critical limitations. They fail to capture the wide range of anomaly types, as ...
In this study, we introduce an efficient and robust LiDAR-camera 3D object detector, referred to as MoME, which can achieve robust performance through a mixture of experts approach. Our MoME fully ...
The DeepInMiniscope developed by UC Davis combines optical technology and machine learning to create a device that can take high-resolution 3D images inside living tissue (Image: Mario Rodriguez / UC ...
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