Results 141 to 150 of about 425,127 (302)
Introduction to acoustic emission [PDF]
Typical acoustic emission signal characteristics are described and techniques which localize the signal source by processing the acoustic delay data from multiple sensors are discussed.
Possa, G.
core +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
The time-frequency analysis of the acoustic signal produced in underwater discharges based on Variational Mode Decomposition and Hilbert-Huang Transform. [PDF]
Han Z, Zhang X, Yan B, Qiao L, Wang Z.
europepmc +1 more source
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Multipath Propagation of Acoustic Signal in a Swimming Pool-Source Localization Problem. [PDF]
Misiurewicz J +4 more
europepmc +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
Acoustic signal dominance in the multimodal communication of a nocturnal mammal. [PDF]
Zhang CM +4 more
europepmc +1 more source
Acoustic Emission Signal Processing [PDF]
A Terchi, Y H J Au
openaire +2 more sources
Respiratory Signal Processing and Analysis Using Flexible Capacitive Sensor Data
Capacitive pressure sensors based on poly(glycerol sebacate) (PGS) substrates are developed for continuous, non‐invasive respiratory monitoring. Integrated with a signal processing algorithm, they enable accurate tracking of thoracic expansion and retraction.
Bernardo A. Vicente +3 more
wiley +1 more source

