Results 141 to 150 of about 725,384 (331)
Non-Classical Memory Kernels in Linear Viscoelasticity
In linear viscoelasticity, a large variety of regular kernels have been classically employed, depending on the mechanical properties of the materials to be modeled. Nevertheless, new viscoelastic materials, such as viscoelastic gels, have been recently discovered and their mechanical behavior requires convolution integral with singular kernels to be ...
CARILLO, Sandra, GIORGI, Claudio
openaire +4 more sources
SAA significantly enhanced Al/PU bonding, increasing SLSS by up to 920% and fracture energy by 15 100% through optimized micro‐nano porous surfaces. RSM identified the optimal anodizing conditions, while ML confirmed sulfuric acid concentration and roughness as dominant predictors of strength.
Umut Bakhbergen +6 more
wiley +1 more source
Recent research on laser‐processed cermets and cemented carbides highlights significant advancements, yet a notable paucity of studies and persistent challenges remain. Efforts are increasingly focused on developing low‐cost, environmentally friendly cermets as alternatives to conventional materials.
Himanshu Singh Maurya +2 more
wiley +1 more source
Linear kernel combination using boosting
In this paper, we propose a novel algorithm to design multi- class kernels based on an iterative combination of weak kernels in a schema inspired from the boosting framework. Our solution has a complexity lin- ear with the training set size. We evaluate our method for classification on a toy example by integrating our multi-class kernel into a kNN clas-
Lechervy, Alexis +2 more
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A sensor is fabricated that reflects electromagnetic waves wirelessly using only edible materials. The substrate is made of edible materials such as sugar and starch, and the electrodes are made of gold. This sensor has isotropic electromagnetic wave characteristics in response to rotation.
Ryosuke Matsuda +5 more
wiley +1 more source
Printed 2.5D‐Microstructures with Material‐Specific Functionalization for Tunable Biosensing
The 2.5D‐MiSENSE platform integrates a microstructured biosensor with an in‐line milking pipeline to enable real‐time detection of mastitis biomarkers during active milk flow. The system uses a 2.5D microengineered surface and patterned electrodes to enhance milk–sensor interaction.
Matin Ataei Kachouei +2 more
wiley +1 more source
Linear Kernels for Edge Deletion Problems to Immersion-Closed Graph Classes [PDF]
Archontia C. Giannopoulou +4 more
openalex +1 more source
Ductility Tuning via Cluster Network Characteristics of Porous Components
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba +4 more
wiley +1 more source
Protein subnuclear localization based on a new effective representation and intelligent kernel linear discriminant analysis by dichotomous greedy genetic algorithm. [PDF]
Wang S, Yue Y.
europepmc +1 more source
Linearly Constrained Linear Quadratic Regulator from the Viewpoint of Kernel Methods
Pierre-Cyril Aubin-Frankowski
openalex +2 more sources

