Results 191 to 200 of about 80,178 (324)

On-chip silicon electro-optical modulator with ultra-high extinction ratio for fiber-optic distributed acoustic sensing. [PDF]

Nat Commun, 2023
Cheng Z, Shu X, Ma L, Chen B, Li C, Sun C, Wei M, Yu S, Li L, Lin H, Rao Y.   +10 more
europepmc   +1 more source

Imaging the Sediment Cover Offshore Central Chile With Surface‐Wave Dispersion and P‐Wave Conversion Using Distributed Acoustic Sensing [PDF]

Clara Vernet, Alister Trabattoni, Marie Baillet, Martijn van den Ende, Diane Rivet   +4 more
openalex   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
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, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Seismoacoustic Monitoring of a Longwall Face Using Distributed Acoustic Sensing. [PDF]

Bull Seismol Soc Am, 2023
Chambers D, Shragge J.
europepmc   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
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, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

Spatiotemporal Anomaly Detection in Distributed Acoustic Sensing Using a GraphDiffusion Model. [PDF]

Sensors (Basel)
Jeong S, Kim H, Kim YH, Park CS, Jung H, Kim HK.   +5 more
europepmc   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

A Feasibility Study of Automated Detection and Classification of Signals in Distributed Acoustic Sensing. [PDF]

Sensors (Basel)
Pedersen HB, Heiselberg P, Heiselberg H, Simonsen A, Sørensen KA.   +4 more
europepmc   +1 more source

Distributed Acoustic Sensing for Monitoring Linear Infrastructures: Current Status and Trends. [PDF]

Sensors (Basel), 2022
Zhu HH, Liu W, Wang T, Su JW, Shi B.
europepmc   +1 more source

Near-surface characterization using Distributed Acoustic Sensing in an urban area: Granada, Spain

, 2023
Yang Li, Mathieu Perton, Beatriz Gaite, Sandra Ruiz‐Barajas, Zack Spica   +4 more
openalex   +2 more sources