Results 161 to 170 of about 319,037 (305)

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

Conformal Swallowing Accelerometry: Reimagining the Acquisition and Characterization of Swallowing Mechano-Acoustic Signals. [PDF]

Sensors (Basel)
Lam WYS, Kwong E, Leung RCK, Lee CH, Rai S, Lui LK.   +5 more
europepmc   +1 more source

Automatic and Early Detection of Parkinson's Disease by Analyzing Acoustic Signals Using Classification Algorithms Based on Recursive Feature Elimination Method. [PDF]

Diagnostics (Basel), 2023
Alalayah KM, Senan EM, Atlam HF, Ahmed IA, Shatnawi HSA.   +4 more
europepmc   +1 more source

Respiratory Signal Processing and Analysis Using Flexible Capacitive Sensor Data

Advanced Materials Technologies, EarlyView.
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, Raquel Sebastião, Alda Marques, Vitor Sencadas   +3 more
wiley   +1 more source

Firearm classification from acoustic signals using combined mel spectrogram, MFCC, LFCC, and CRNN networks. [PDF]

Sci Rep
Elkarous L, Jeridi MH, Dhouibi M.
europepmc   +1 more source

Object Surface Recognition Based on Standing Waves in Acoustic Signals. [PDF]

Front Robot AI, 2022
Kumon M, Fukunaga R, Manabe T, Nakatsuma K.   +3 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

Multi-Scale Frequency-Aware Transformer for Pipeline Leak Detection Using Acoustic Signals. [PDF]

Sensors (Basel)
Chen M, Lu Y, Wu W, Ye Y, Wei B, Ni Y.
europepmc   +1 more source

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

Advanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi, Sang Won Lee, Mohammad Abrar Uddin, Sina Hassanpoor, Neha Suvindran, Katherine Le, Harun Arkaz, Harishkumar Narayana, Saeid Soltanian, Danial Khorsandi, Negar Hosseinzadeh Kouchehbaghi, Taeil Kim, Yangzhi Zhu   +12 more
wiley   +1 more source

Decomposing and Modeling Acoustic Signals to Identify Machinery Defects in Industrial Soundscapes. [PDF]

Sensors (Basel)
Pichler C, Neumayer M, Schweighofer B, Feilmayr C, Schuster S, Wegleiter H.   +5 more
europepmc   +1 more source