Results 201 to 210 of about 5,074,594 (286)

Data‐Driven Design of Self‐Adhesive Epidermal Electrodes and Sensors

Advanced Science, EarlyView.
This work presents self‐adhesive, stretchable epidermal electrodes and sensors developed through a data‐driven design framework that integrates artificial neural networks with genetic algorithms. By tailoring optimization objectives, either maximizing electrical conductivity and adhesion or enhancing piezoresistive sensitivity, the study enables the ...
Xuan Li, Shilei Wang, Milad Razbin, Danish Tahir, Chen Sang, Shuhua Peng, Markus Müllner, Wenlong Cheng, Wei Chen, Chun Hui Wang, Shuying Wu   +10 more
wiley   +1 more source

A Calibrated Modelling Approach for Predicting Dry Friction Wear of Copper-Free Composite Friction Materials. [PDF]

Materials (Basel)
Mieczkowski G, Borawski A, Szpica D.
europepmc   +1 more source

Large‐Area Noise‐Resilient Multiplexing Triboelectric Biomechanical Sensing on Clothing for High‐Precision Full‐Body Motion Capture in Wearables

Advanced Science, EarlyView.
A large‐area, noise‐resilient multiplexed triboelectric sensing garment based on a multilayer shielded architecture and SnS2 nanoflower‐engineered hybrid materials enables interference‐suppressed, high‐fidelity full‐body motion tracking, achieving 0.13% signal misrecognition, 57 dB electromagnetic noise attenuation, and >1.5 N threshold force, while ...
Beibei Shao, Ming‐Han Lu, Wei‐Chen Peng, Wei‐Chun Yang, Yi‐Ting Chen, Jiun‐Wei Fong, Tzu‐Ching Lu, Tai‐Chen Wu, Zhi‐Xian Yan, Kai‐Yuan Hsiao, Jiann‐Yeu Chen, Ming‐Yen Lu, Heng‐Jui Liu, Ruiyuan Liu, Ying‐Chih Lai   +14 more
wiley   +1 more source

Intelligent hybrid optimization of sustainable machining parameters for Inconel 718 using ANN driven evolutionary and swarm algorithms. [PDF]

Sci Rep
Chohan JS, Yadav R, Nagori KK, Ramachandran T, Biswal S, Singh R, Bains PS, Kumar R, Bhowmik A, Tamene Y.   +9 more
europepmc   +1 more source

Bio‐Inspired Gradient Coatings Enhance the Leading Edge Erosion Resistance of Wind Blades

Advanced Science, EarlyView.
Rain‐induced erosion of the wind turbine blade leading edge poses a critical challenge to maintenance and operation. Here, we propose a bio‐inspired approach for erosion protection utilising a platelet‐reinforced polyurethane coating with a graded through‐thickness architecture.
Natalia Sofia Guevara‐Sotelo, Julie Teuwen, Kunal Masania   +2 more
wiley   +1 more source

Cutting parameter-tool material interaction on PcBN tool wear behaviour in ductile iron machining. [PDF]

Sci Rep
Wang P, Li X, Jiu Y, Yin H, Zhang Y.
europepmc   +1 more source

Neuromorphic Optical Tracking and Imaging of Randomly Moving Targets Through Dynamic Dense Scattering Media

Advanced Science, EarlyView.
Vision begins not with images but with change: the retina fires only when something moves, handing the brain a stream of spikes. A neuromorphic imaging system adopts the same strategy—an event sensor that sees like the retina, a spiking network that thinks like the brain—to track and reconstruct fully randomly moving targets through tissue (phantom ...
Ning Zhang, Arto Nurmikko
wiley   +1 more source

Hybrid fuzzy AHP-WASPAS optimization of turning parameters for electronic waste-derived aluminum alloys: advancing sustainable machining in line with sustainable development goals and circular manufacturing. [PDF]

Sci Rep
Sundar Singh Sivam SP, Umasekar VG, Kesavan S, Sathishkumar P.   +3 more
europepmc   +1 more source

Inverse Design of Pre‐Strain via a Predictive Electromechanical Model for Enhanced Strain Sensing

Advanced Science, EarlyView.
An analytical electromechanical model rooted in microcrack evolution mechanics is globally calibrated from only eight pre‐strain datasets, enabling prediction of the complete sensing response at untested pre‐strain values within the calibrated design space (R2 > 0.99).
Jia‐Chen Shang, Rui Wang, Bo Lu, Ming‐Liang Song, Yu‐Yi Chen, Kuo Han, Xin‐Jie Feng, Bin Sun, Yao‐Guang Cao, Xiao‐Yu Yan, Shi‐Chun Yang   +10 more
wiley   +1 more source

A hybrid machine learning approach for reliably predicting surface roughness in CNC turning operations. [PDF]

Sci Rep
Yurtkuran H, Demirtaş G, Alpsalaz F, Uzel H, Zaitsev I.   +4 more
europepmc   +1 more source