Results 181 to 190 of about 7,798 (312)

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Stress Concentration-Based Material Leakage Fault Online Diagnosis of Vacuum Pressure Vessels Based on Multiple FBG Monitoring Data. [PDF]

Materials (Basel)
Gong Z, Shen FK, Liu YH, Yan CL, Rui J, Cao PF, Wang HP, Xiang P.   +7 more
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Effect of Random Base Vibrations on the Performance of Piezoelectric Wind Energy Harvesters. [PDF]

Micromachines (Basel)
Pasetto A, Tonan M, Bottin M, Doria A.
europepmc   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Evolution of vortex-cavitation coherent structures in self-excited cavitation waterjets under sound waves excitation. [PDF]

Ultrason Sonochem
Fang Z, Yu H, Hou B, Fan S, Lei X, Guo X, Hou W.   +6 more
europepmc   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

A Novel Proposal for a Bladeless Wind Turbine: Bio-Inspired Design of a Columnar-Cactus Type Mast. [PDF]

Biomimetics (Basel)
Hernández-Arriaga I, Pérez-Meneses J, Mejía-Hernández GE, López-Barroso J, Flores-Hernández CG, Hernández-Arriaga D.   +5 more
europepmc   +1 more source

Reduction of Vortex Induced Vibration of a Tensioned Cable by Bang-Bang Control Method

, 2003
Hiroyuki Fujiwara, Koetsu TAKANO, Osami MATSISHITA, Tomotsugu TANAKA   +3 more
openalex   +2 more sources

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source