Results 161 to 170 of about 21,898 (295)

Advances in Delamination Analysis and Damage Prediction: A Comprehensive Review on Polymer Composite Materials

open access: yesEngineering Reports, Volume 8, Issue 2, February 2026.
This comprehensive study advances delamination analysis in composites through innovative computational methods, experimental validation techniques, and predictive algorithms, collectively enhancing damage progression prediction and structural health monitoring for improved integrity in high‐performance applications.
Dhivya Elumalai   +4 more
wiley   +1 more source

Deep Learning‐Enabled Multifunctional Electronic Skin System for Human Activity Recognition and Sign Language Translation

open access: yesSmartMat, Volume 7, Issue 1, February 2026.
A multimodal smart electronic skin: from multi‐parameter sensing to AI‐driven applications. The system integrates temperature, humidity, strain, and glucose sensors, utilizing a designed flexible acquisition circuit to collect physiological and motion signals. Data processing via the MAC‐Net model enables intelligent applications such as precise motion
Kunhao Xiu   +7 more
wiley   +1 more source

Investigation on the Coherent Component of SHARAD Surface Echo and Surface Roughness: Scaling Behavior and Influence of Hurst Exponent

open access: yesEarth and Space Science, Volume 13, Issue 2, February 2026.
Abstract The radar surface echo can be separated into coherent and incoherent components by statistical approaches, and the coherent component can be described by a backscattering model related to the RMS height. According to backscattering models for fractal surfaces, the coherent power in decibels decreases with RMS height on a scale independent of ...
Tiansheng Hong   +9 more
wiley   +1 more source

Quantitative Characterization of Gravel Bed Structures Using 2DSSFs and Machine Learning‐Based Surrogate Surface Generation

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Accurate characterization of gravel structures is essential for understanding riverbed roughness, flow resistance, and sediment transport. However, quantifying the definitive characteristics of these gravel structures remains challenging due to the inherent complexity of particle spatial arrangement. This study presents an improved statistical
Jie Qin, Teng Wu
wiley   +1 more source

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