Results 211 to 220 of about 213,770 (341)

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

Advanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi, Suman Timilsina, Youn Woo Shin, Yong Nam Kwon, Kee‐Sun Sohn, Ji Sik Kim   +5 more
wiley   +1 more source

Attenuation Impact on Acoustic Emission Signal Parameters in Damage Mechanisms Characterization of Composite Rebars. [PDF]

Polymers (Basel)
Zielonka P, Smolnicki M, Duda S, Lesiuk G.   +3 more
europepmc   +1 more source

New Acoustic Emission Analysis for Characterization of Fiber/Matrix Interfacial Strength of Woven Fabric Laminates.

, 1996
Toshiyuki Uenoya, Taizo Oguri
openalex   +2 more sources

EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing

Advanced Intelligent Systems, EarlyView.
This work introduces an electromyography (EMG)‐driven telemetry framework that reconstructs body pose and infers hydrodynamic conditions in freely swimming fish. A custom 16‐channel archival system records intramuscular EMG, enabling deep‐learning models to decode joint kinematics, classify flow regimes, and reveal channel‐efficient sensing strategies.
Rahdar Hussain Afridi, Waqar Hussain Afridi, Muhammad Hamza, Ahsan Tanveer, Mingxin Wu, Xingwen Zheng, Liang Li, Guangming Xie   +7 more
wiley   +1 more source

Study on the influence of pore dip angle on acoustic emission characteristics of sandstone with composite defects. [PDF]

PLoS One
Zhao N, Wen Y, Wang L.
europepmc   +1 more source

Terrestrial Cyborg Insects for Real‐Life Applications

Advanced Intelligent Systems, EarlyView.
This article reviews the development of terrestrial cyborg insects from their emergence in 1997 to mid‐2025, examining three key aspects: locomotion control methods, associated challenges with proposed solutions, and practical applications. Framing these biohybrid systems as insect‐scale mobile robots, the review provides foundational insights for new ...
Hai Nhan Le, Lachlan Fitzgerald, Phuoc Thien Phan, Robbie Wilson, Christofer Clemente, Huu Duoc Nguyen, Hirotaka Sato, Hoang‐Phuong Phan, Peter Ross McAree, Thanh Nho Do, Tat Thang Vo‐Doan   +10 more
wiley   +1 more source

Unveiling Turbulence-Induced Stress Dynamics in Dented Pipe Using Acoustic Emission and Time-Frequency Analysis. [PDF]

Sensors (Basel)
Firdaus SM, Mohammad M, Othman AR, Mod Yunoh MF.   +3 more
europepmc   +1 more source

8B-15 Microfracture Analysis and Lifetime Prediction Based on damage Monitoring Using Acoustic Emission Technique

, 2011
Yukiya Yamada, Shuichi WAKAYAMA, Junji Ikeda, Fumiaki Miyaji   +3 more
openalex   +1 more source

MusicSwarm: Biologically Inspired Intelligence for Music Composition

Advanced Intelligent Systems, EarlyView.
Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley   +1 more source

An intelligent approach to predict the drilling penetration rate using acoustic emission technique (AET). [PDF]

Sci Rep
Khoshouei M, Bagherpour R, Jalalian MH, Purhamadani E.   +3 more
europepmc   +1 more source