Results 191 to 200 of about 51,880 (308)
Distributional Behavior of Convolution Sum System Representations
Holger Boche, Ullrich J. Mönich
openalex +2 more sources
Intelligent Identification of Internal Leakage of Spring Full-Lift Safety Valve Based on Improved Convolutional Neural Network. [PDF]
Li S, Yuan K, Hou J, Meng X.
europepmc +1 more source
Most matter is nominally frozen in the polar regions or space, and liquid crystal materials are no exception. Consequently, soft actuators, including liquid crystal elastomers (LCEs), are inoperative under such extreme cold in response to stimuli, as their motion relies on mechanical deformation.
Hyeonseong Kim +5 more
wiley +1 more source
A Max-Flow Approach to Random Tensor Networks. [PDF]
Fitter K, Loulidi F, Nechita I.
europepmc +1 more source
Substrate Stress Relaxation Regulates Cell‐Mediated Assembly of Extracellular Matrix
Silicone‐based viscoelastic substrates with tunable stress relaxation reveal how matrix mechanics regulates cellular mechanosensing and cell‐mediated matrix remodelling in the stiff regime. High stress relaxation promotes assembly of fibronectin fibril‐like structures, increased nuclear localization of YAP and formation of β1 integrin‐enriched ...
Jonah L. Voigt +2 more
wiley +1 more source
FCN attention enhancing asphalt pavement crack detection through attention mechanisms and fully convolutional networks. [PDF]
Zhang H, Liu J, Hu G.
europepmc +1 more source
This study presents an injectable hydrogel that responds to Pseudomonas aeruginosa infection by releasing a dual‐phage cocktail on demand. The system degrades selectively in infected wounds, enhances phage localization and stability, and shows potent antibiofilm activity and biocompatibility in an ex vivo human skin model—offering a promising strategy ...
Siyuan Tao +9 more
wiley +1 more source
Performance evaluation of reduced complexity deep neural networks. [PDF]
Agha S +4 more
europepmc +1 more source
Recycling of Thermoplastics with Machine Learning: A Review
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque +5 more
wiley +1 more source

