Polyphenol‐Inspired Materials for Agricultural Applications
Advanced Materials, EarlyView.This review outlines the use of polyphenol‐inspired materials for sustainable agriculture, highlighting their molecular design, interfacial assembly, structure–property relationships, and prospects toward precision agriculture, climate resilience, ecosystem protection, and circular bioeconomy strategies.
Haofu Liu +8 more
wiley +1 more source
A least squares approach to Principal Component Analysis for interval valued data [PDF]
Principal Component Analysis (PCA) is a well known technique the aim of which is to synthesize huge amounts of numerical data by means of a low number of unobserved variables, called components.
D'Urso, Pierpaolo, Giordani, Paolo
core
A branch and bound method for isolation of faulty variables through missing variable analysis [PDF]
, 2010 Fault detection and diagnosis is a critical approach to ensure safe and efficient operation of manufacturing and chemical processing plants. Although multivariate statistical process monitoring has received considerable attention, investigation into ...
Tao Chen +11 more
core +1 more source
Kernel principal component analysis (PCA) control chart for monitoring mixed non-linear variable and attribute quality characteristics. [PDF]
Heliyon, 2022 Ahsan M, Mashuri M, Khusna H, Wibawati.
europepmc +1 more source
2D Abrupt Nano‐Junctions Blending sp–sp2 Bonds on Atomically Precise Heterostructures
Advanced Materials, EarlyView.A lateral heterostructure between atomically precise sp–sp2$^2$ metalated graphdiyne and sp2$^2$ graphene nanoribbons is realized by on‐surface synthesis and investigated by STM and DFT. The impact of on‐surface synthesis byproducts on covalent junction formation yield is unveiled.
Alice Cartoceti +10 more
wiley +1 more source
Generalized power method for sparse principal component analysis [PDF]
In this paper we develop a new approach to sparse principal component analysis (sparse PCA). We propose two single-unit and two block optimization formulations of the sparse PCA problem, aimed at extracting a single sparse dominant principal component of
Journée, Michel +3 more
core
Facial Expression Recognition Based on Local Binary Patterns and Kernel Discriminant Isomap
Sensors, 2011 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
Improved ECG-Derived Respiration Using Empirical Wavelet Transform and Kernel Principal Component Analysis. [PDF]
Comput Intell Neurosci, 2021 Zhuang S +5 more
europepmc +1 more source
Advanced Materials, EarlyView.Two‐dimensional Ag11 and Ag12 cluster‐assembled materials (CAMs) are synthesized, offering atomically precise platforms with tunable electronic properties. The resulting materials exhibit robust memristive switching and neuromorphic response, demonstrating their promise for advanced nanoelectronic and memory applications.
Noohul Alam +7 more
wiley +1 more source
Kernel principal component analysis and differential non-linear feature extraction of pesticide residues on fruit surface based on surface-enhanced Raman spectroscopy. [PDF]
Front Plant Sci, 2022 Shi G +5 more
europepmc +1 more source