Results 131 to 140 of about 1,011,171 (338)
Advanced Functional Materials, EarlyView.This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva +9 more
wiley +1 more source
Wet aggregate stability modeling based on support vector machine in multiuse soils
, 2022 Ruizhi Zhai +3 more
openalex +1 more source
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
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
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
A Novel Ensemble of Support Vector Machines for Improving Medical Data Classification [PDF]
, 2023 Phuoc Hai Huynh, Van Hoa Nguyen
openalex +1 more source
Reliability-Based Design of Thermal Protection Systems with Support Vector Machines [PDF]
The primary objective of this work was to develop a computationally efficient and accurate approach to reliability analysis of thermal protection systems using support vector machines.
Brune, Andrew J. +2 more
core +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
Application of Genetic Algorithm Based Support Vector Machine Model in Second Virial Coefficient Prediction of Pure Compounds [PDF]
Iranian Journal of Chemistry & Chemical Engineering, 2018 In this work, a Genetic Algorithm boosted Least Square Support Vector Machine model by a set of linear equations instead of a quadratic program, which is improved version of Support Vector Machine model, was used for estimation of 98 pure compounds ...
Mohammad Soleimani Lashkenar +2 more
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Prediction of Marine Pycnocline Based on Kernel Support Vector Machine and Convex Optimization Technology [PDF]
, 2019 Jiachen Yang +5 more
openalex +1 more source