Computational meta-imagers synergize metamaterial hardware with advanced signal
processing approaches such as compressed sensing. Recent advances in artificial …

Acoustic and elastic waves carry a wealth of useful physical information in real world.
Sensing acoustic and elastic waves is very important for discovering knowledge in various …

Convolutional neural networks (CNNs) are one of the most efficient deep learning
techniques and have been widely used in motor fault diagnosis. However, most of them are …

Our modern lives have been radically revolutionized by mechanical or electric machines that
redefine and recreate the way we work, communicate, entertain, and travel. Whether being …

Vibrations carry a wealth of useful physical information in various fields. Identifying the multi-
source vibration information generally requires a large number of sensors and complex …

Acoustic tunable focusing lens has important applications in acoustic fast imaging and three-
dimensional displays. Previously developed metasurface lenses suffer from narrow …

Photoacoustic imaging, an acoustic imaging modality with potentially optical resolution in an
optical turbid medium, has attracted great attention. However, the convergence of wavefront …

Sensing is the fundamental technique for sensor data acquisition in monitoring the operation
condition of the machinery, structures and manufacturing processes. In this paper, we briefly …

Metamaterials-based acoustic sensing technologies play an important role in many practical
applications, such as structural health monitoring, sound source localization, underwater …

Conventional approaches to sound localization and separation are based on microphone
arrays in artificial systems. Inspired by the selective perception of the human auditory …