Results 121 to 130 of about 21,775 (260)

A Physics-Grounded Multi-Modal Sensor Fusion Framework for Pedestrian Impact Kinematic Reconstruction Under Uncertainty: Phase 1 Design and Theoretical Evaluation. [PDF]

Sensors (Basel)
Barua N, Hitosugi M.
europepmc   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Multifocal Optical-Resolution Photoacoustic Microscopy With a Masked Single-Element Transducer. [PDF]

IEEE Trans Med Imaging
Luo X, Cao R, Hu P, Luo Y, Zeng Y, Zhang Y, Cui M, Zhou Q, Ku G, Wang LV.   +9 more
europepmc   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

Advanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

Recovering Speech from Vibrations: Principles and Algorithms in Radar and Laser Sensing. [PDF]

Sensors (Basel)
Bederov E, Berdugo B, Cohen I.
europepmc   +1 more source

Resource‐Aware Contrastive Scattering Meta‐Learning for Efficient Few‐Shot Acoustic Anomaly Detection

Advanced Intelligent Systems, EarlyView.
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley   +1 more source

A Multimodal Acousto-Optic Dataset for Underwater Image Enhancement, Detection, and Reconstruction. [PDF]

Sci Data
Chu X, Zhou S, Tian J, Zou D, Zhao X, Wang R, Cheng B, Dong Y, Zhao S, Chen H, Jiang Z, An J, Xu M, Fu X, Liu S.   +14 more
europepmc   +1 more source

Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function

Advanced Intelligent Systems, EarlyView.
A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia, Gengkai Hu, Boo Cheong Khoo, Rolf Müller   +3 more
wiley   +1 more source

Radon-full-waveform inversion for suppressing scalp reverberation and skull-induced aberration in transcranial photoacoustic computed tomography. [PDF]

Photoacoustics
Zhang J, Yang H, Ma J, Fan B, Shi T, Zheng X, Xie S, Xie Z, Na S.   +8 more
europepmc   +1 more source

A detailed redescription of a skeletally immature ‘Redondasaurus’ suggests ontogenetic transformations in the taxon mirror phytosaurian morphological evolution

The Anatomical Record, EarlyView.
Abstract The study of morphological evolution is fundamentally tied to ontogeny, yet studies of these heterochronic processes in the fossil record are rare. Fossils belonging to an ontogenetic series are difficult to assign to an ontogenetic stage due to inconsistent proxies for skeletal ages, challenging to taxonomically assign due to morphological ...
Erika R. Goldsmith, Michelle R. Stocker
wiley   +1 more source