Bio‐Inspired Mechanical Amplification Block on Implantable Tactile Sensors
. ABSTRACT Implantable strain sensors offer opportunities for continuous biomechanical monitoring, but their performance deteriorates severely once embedded in soft tissue due to mechanical shielding that suppresses strain transmission to the sensing layer.
Sungbin Choi +5 more
wiley +1 more source
Full-waveform inversion based on generalized Rényi entropy using patched Green's function techniques. [PDF]
Barbosa WA +3 more
europepmc +1 more source
The introduction of high‐sublimation‐temperature additives during the mechanosynthesis of FAPbI3 powders enables the single‐source evaporation of phase‐pure, additive‐free FAPbI3 thin films of high optoelectronic quality. The additive‐engineered deposition process yields photovoltaic devices with stabilized efficiencies exceeding 18% for an active ...
Zongbao Zhang +13 more
wiley +1 more source
A Forward Model Incorporating Elevation-Focused Transducer Properties for 3-D Full-Waveform Inversion in Ultrasound Computed Tomography. [PDF]
Li F, Villa U, Duric N, Anastasio MA.
europepmc +1 more source
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 +3 more
wiley +1 more source
Redesigning elastic full‐waveform inversion on the new Sunway architecture
IFOS3D is a three‐dimensional elastic full‐waveform inversion (EFWI) tool designed for high‐resolution estimation of the Earth's material properties within 3D subsurface structures.
Mengyuan Hua +11 more
doaj +1 more source
Deep-Learning-Driven Full-Waveform Inversion for Ultrasound Breast Imaging. [PDF]
Robins T +4 more
europepmc +1 more source
Harnessing Phase Dynamics Across Diverse Frequencies with Multifrequency Oscillatory Neural Networks
Oscillatory Neural Networks (ONNs) are an emerging computing paradigm that encodes information in the phases of coupled oscillators. Traditionally, ONNs have been investigated using homogeneous frequency oscillators. However, physical hardware implementations are inherently subject to frequency mismatches, device variability, and nonuniformities.
Nil Dinç +2 more
wiley +1 more source
Seismic Multi-Parameter Full-Waveform Inversion Based on Rock Physical Constraints
Seismic multi-parameter full-waveform inversion (FWI) integrating velocity and density parameters can fully use the kinematic and dynamic information of observed data to reconstruct underground models. However, seismic multi-parameter FWI is a highly ill-
Cen Cao, Deshan Feng, Jia Tang, Xun Wang
doaj +1 more source
A new hybrid optimization approach using PSO, Nelder-Mead Simplex and Kmeans clustering algorithms for 1D Full Waveform Inversion. [PDF]
Aguiar Nascimento R +5 more
europepmc +1 more source

