Results 101 to 110 of about 4,379,261 (288)
Dimensionality Reduction Nonlinear Partial Least Squares Method for Quality-Oriented Fault Detection
Unlike traditional fault detection methods, quality-oriented fault detection further classifies the types of faults into quality-related and non-quality-related faults.
Jie Yuan, Hao Ma, Yan Wang
doaj +1 more source
This paper suggests a method of formulating any nonlinear integer programming problem, with any number of constraints, as an equivalent single constraint problem, thus reducing the dimensionality of the associated dynamic programming problem.
Balasubramanian Ram, A. J. G. Babu
doaj +1 more source
Dimensional reduction in nonlinear filtering: A homogenization approach
Published in at http://dx.doi.org/10.1214/12-AAP901 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Imkeller, Peter +3 more
openaire +3 more sources
Nanoconfinement‐Induced Second‐Harmonic Circular Dichroism via Chirality–Ferroelectric Coupling
Nanoconfinement of a ferroelectric nematic liquid crystal within a chiral nanoporous sponge yields an enhanced second‐harmonic generation circular dichroism (|gSHG–CD| ≈ 1.1). Polarization‐resolved analysis suggests an additional magnetic‐dipole‐associated nonlinear contribution under nanoconfinement, highlighting chirality–ferroelectric coupling as a ...
Jae‐Jin Lee +5 more
wiley +1 more source
Graph Embedding and Nonlinear Dimensionality Reduction
Traditionally, spectral methods such as principal component analysis (PCA) have been applied to many graph embedding and dimensionality reduction tasks. These methods aim to find low-dimensional representations of data that preserve its inherent structure.
openaire +2 more sources
Electrically Induced Phase Transition and Synaptic Functionality in MoTe2/Graphene Memristors
An electrically induced reversible 2H ↔ 1T′ phase transition is demonstrated in a vertical Au/Ti/MoTe2/graphene memristor with a laterally contacted graphene electrode. Resistive switching proceeds through a compositionally invariant amorphous/2H ↔ amorphous/1T′ transformation, in which a self‐formed amorphous MoTe2 interfacial region is proposed to ...
Chien‐Hua Wang +7 more
wiley +1 more source
Forward Stepwise Deep Autoencoder-Based Monotone Nonlinear Dimensionality Reduction Methods
Dimensionality reduction is an unsupervised learning task aimed at creating a low-dimensional summary and/or extracting the most salient features of a dataset.
Youyi Fong (519951), Jun Xu (45543)
core +1 more source
This work presents a closed‐loop optimization workflow integrating CatBot, an automated synthesis and testing system, to discover NiMo hydrogen‐evolution catalysts. CatBot synthesised and evaluated 228 unique samples, identifying the best performing catalysts for transfer to nickel‐foam electrodes. The best candidate is highly active, reaching 1 Acm−2${
Paolo Vincenzo Freiesleben de Blasio +7 more
wiley +1 more source
Forward Stepwise Deep Autoencoder-based Monotone Nonlinear Dimensionality Reduction Methods. [PDF]
Fong Y, Xu J.
europepmc +1 more source
Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography
In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep +4 more
wiley +1 more source

