Results 51 to 60 of about 595,113 (280)
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
Combining Simple Discriminators for Object Discrimination [PDF]
We propose to combine simple discriminators for object discrimination under the maximum entropy framework or equivalently under the maximum likelihood framework for the exponential family. The duality between the maximum entropy framework and maximum likelihood framework allows us to relate two selection criteria for the discriminators that were ...
Shyjan Mahamud +2 more
openaire +1 more source
Hierarchical Discriminant Analysis
The Internet of Things (IoT) generates lots of high-dimensional sensor intelligent data. The processing of high-dimensional data (e.g., data visualization and data classification) is very difficult, so it requires excellent subspace learning algorithms ...
Di Lu +3 more
doaj +1 more source
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee +4 more
wiley +1 more source
Analyze of Classification Accaptence Subsidy Food Using Kernel Discriminant [PDF]
Subsidy food is government program for social protection to poor households. The aims of this program are to effort households from starve and to decrease poverty. Less precisely target of this program has negative impact. So that
Mukid, Moch. Abdul, Prahutama, Alan
core
Abstract Scattering amplitudes in quantum field theories have intricate analytic properties as functions of the energies and momenta of the scattered particles. In perturbation theory, their singularities are governed by a set of nonlinear polynomial equations, known as Landau equations, for each individual Feynman diagram.
S. Mizera (Sebastian) +1 more
openaire +4 more sources
Reversible Discriminant Analysis
Principal component analysis (PCA) and linear discriminant analysis (LDA) have been extended to be a group of classical methods in dimensionality reduction for unsupervised and supervised learning, respectively.
Lan Bai +3 more
doaj +1 more source
This study established an RT‐MSCs‐based therapeutic approach for scleroderma in mice. RT‐MSCs attenuated fibrosis by regulating mitochondrial autophagy and restored gut microbiota homeostasis. Metabolomic analyses confirmed recovery of key metabolites, and RT‐MSCs demonstrated favorable lesion targeting and safety profiles.
Xue Xia +5 more
wiley +1 more source
: Based on the relations among the stress, final wall-thickness of thin-walled tube and the characteristics of tube material, original size, curling radius along with friction condition in a axially-compressed internal inversion process on right-angled
Niu Wei-Zhong
doaj
Discriminant Analysis under f-Divergence Measures
In statistical inference, the information-theoretic performance limits can often be expressed in terms of a statistical divergence between the underlying statistical models (e.g., in binary hypothesis testing, the error probability is related to the ...
Anmol Dwivedi, Sihui Wang, Ali Tajer
doaj +1 more source

