Results 71 to 80 of about 155,817 (215)
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi +7 more
wiley +1 more source
Image clustering has received significant attention due to the growing importance of image recognition. Researchers have explored Riemannian manifold clustering, which is capable of capturing the non‐linear shapes found in real‐world datasets.
Mengyuan Zhang, Jinglei Liu
doaj +1 more source
The key problem of colour face recognition technique is how to take full advantage of the colour information and extract effective discriminating features.
Qian Liu, Chao Wang
doaj +1 more source
Mask‐encoded UV exposure translates digital color information into pixel‐resolved structural‐color patterns in hydroxypropyl cellulose gels. Gaussian‐process‐guided calibration links UV processing conditions, wavelength, and mask opacity, enabling parallel fabrication of multicolor images in a single 10 s exposure.
Mengting Ye +8 more
wiley +1 more source
Facial Expression Recognition Based on Local Binary Patterns and Kernel Discriminant Isomap
Facial expression recognition is an interesting and challenging subject. Considering the nonlinear manifold structure of facial images, a new kernel-based manifold learning method, called kernel discriminant isometric mapping (KDIsomap), is proposed ...
Xiaoming Zhao, Shiqing Zhang
doaj +1 more source
XTRUDE: A Process‐Informed Framework for High‐Fidelity Analysis of Hydrogel Extrusion
Extrusion performance emerges from the interplay between material properties and processing conditions. XTRUDE (eXTrusion Rheology for Understanding and Defining Extrudability) recreates the extrusion environment with in situ pressure and temperature sensing, enabling characteristic pressure signatures to quantify extrusion‐specific phenomena and ...
Farhad Sanaei +4 more
wiley +1 more source
Intracrystalline Void‐Mediated Toughening of Brittle Crystals in Quail Eggshells
In quail eggshells, the high density and disordered arrangement of intracrystalline voids inhibit lattice cleavage, suppress long‐range crack propagation, and promote deformation twinning and quasi‐plasticity, serving as an essential toughening motif. We show that these voids remain within a narrow subcritical size range and therefore predominantly do ...
Jingxiao Zhong +16 more
wiley +1 more source
Reproducing kernel methods for solving linear initial-boundary-value problems
In this paper, a reproducing kernel with polynomial form is used for finding analytical and approximate solutions of a second-order hyperbolic equation with linear initial-boundary conditions.
Li-Hong Yang, Yingzhen Lin
doaj
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Kernel Negative ε Dragging Linear Regression for Pattern Classification
Linear regression (LR) and its variants have been widely used for classification problems. However, they usually predefine a strict binary label matrix which has no freedom to fit the samples.
Yali Peng +4 more
doaj +1 more source

