Results 151 to 160 of about 1,480,093 (371)
Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth
Advanced Functional Materials, EarlyView.This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh +4 more
wiley +1 more source
Performance Analysis of Simplification of Hyperplane Support Vector Machine
Dianxin kexue, 2015 Comparing with traditional support vector machine，hyperplane support vector machine （HPSVM）and hyperplane support vector machine for regression（HPSVMR）not only reduce the number of support vectors and calculation time but also have comparable accuracy ...
Hui Cheng +3 more
doaj +2 more sources
Advanced Functional Materials, EarlyView.Non‐covalent protein–protein interactions mediated by SH3, PDZ, or GBD domains enable the self‐assembly of stable and biocatalytically active hydrogel materials. These soft materials can be processed into monodisperse foams that, once dried, exhibit enhanced mechanical stability and activity and are easily integrated into microstructured flow ...
Julian S. Hertel +5 more
wiley +1 more source
Handwritten digit recognition by combining support vector machines using rule-based reasoning [PDF]
, 2001 D. Gorgevik +2 more
openalex +1 more source
Advanced Functional Materials, EarlyView.A multiscale‐architected phase change material (PCM) composite combines latent heat storage, PCM leakage proof, directional thermal conduction, electromagnetic interference (EMI) shielding, and mechanical reinforcement via asymmetric MXene/cellulose aerogel and 3D‐printed metastructures, enabling effective thermal regulation, strong EMI shielding, and ...
Jiheon Kim +9 more
wiley +1 more source
Karyotyping of comparative genomic hybridization human metaphases by using support vector machines [PDF]
, 2001 Zhenzhen Kou, Liang Ji, Xuegong Zhang
openalex +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Epitaxial piezoelectric α‐quartz/Si BioNEMS sensors, made using soft chemistry, effectively detect the Chikungunya virus. They have a mass sensitivity of 205 pg Hz−1 in liquid and can detect the virus at a limit of 9 ng mL−1. This development enables high‐frequency mass devices for point‐of‐care testing in healthcare and other electronic applications ...
Raissa Rathar +12 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Integrating polyethyleneimine and carbon black into polyurethane enhances electron transport and mechanical durability. The resulting sensor achieves significantly improved electrical signal and sensitivity, enabling efficient machine learning‐based tactile signal recognition in bionic applications.
Xiangkun Bo +4 more
wiley +1 more source