Results 81 to 90 of about 26,484 (294)

Nonlinear Process Monitoring Based on Global Preserving Unsupervised Kernel Extreme Learning Machine

IEEE Access, 2019
Recently, the unsupervised extreme learning machine (UELM) technique as a nonlinear data mining approach has been employed to diagnose nonlinear process faults.
Hanyuan Zhang, Xiaogang Deng, Yunchu Zhang, Chuanjing Hou, Chengdong Li, Zheng Xin   +5 more
doaj   +1 more source

Linear Basis-Function t-SNE for Fast Nonlinear Dimensionality Reduction

, 2012
Gisbrecht A, Mokbel B, Hammer B. Linear Basis-Function t-SNE for Fast Nonlinear Dimensionality Reduction.
Hammer, Barbara ; https://orcid.org/, B. Mokbel, Mokbel, B., B. Hammer, Hammer, B., Gisbrecht, A., Gisbrecht, Andrej, A. Gisbrecht, Mokbel, Bassam   +8 more
core   +1 more source

Soft Mechanical‐Electrical Logic Using Liquid Metal‐Filled 3D‐Printed Architectures

Advanced Engineering Materials, EarlyView.
We present 3D‐printed soft mechanical–electrical logic elements that use liquid metal–filled silicone tubes actuated by thermoplastic polyurethane/polylactic acid (TPU/PLA) architectures to produce Boolean operations. Complementary normally open and normally closed unit cells perform repeatable binary transitions and can be combined into more complex ...
Christoph Lehmann, Ryan Kalgreen, Laura M. Comella   +2 more
wiley   +1 more source

Nonlinear dimensionality reduction based visualization of single-cell RNA sequencing data

Journal of Analytical Science and Technology
Single-cell multi-omics technology has catalyzed a transformative shift in contemporary cell biology, illuminating the nuanced relationship between genotype and phenotype.
Mohamed Yousuff, Rajasekhara Babu, Anand Rathinam   +2 more
doaj   +1 more source

Parametric nonlinear dimensionality reduction using kernel t-SNE

, 2015
Gisbrecht A, Schulz A, Hammer B. Parametric nonlinear dimensionality reduction using kernel t-SNE. Neurocomputing.
Schulz, Alexander ; https://orcid.org/, Hammer, Barbara ; https://orcid.org/, Gisbrecht, Andrej   +2 more
core   +1 more source

Experimental Characterization and Constitutive Modeling of the Effect of Prior Inelastic Strain on the Viscoplastic Behavior of AD730 at 700 °C

Advanced Engineering Materials, EarlyView.
This study shows that superalloys used in aircraft engine disks become much more prone to deformation at high temperatures if they have been strained during manufacturing. This effect increases with the level of prior strain but eventually reaches a limit.
Fabio Machado Alves da Fonseca, Patrick Villechaise, Malik Durand, Arnaud Longuet, Florent Coudon, Loïc Signor, Julien De Jaeger, Dominique Eyidi, Nathalie Bozzolo, Jonathan Cormier   +9 more
wiley   +1 more source

Forward Stepwise Deep Autoencoder-Based Monotone Nonlinear Dimensionality Reduction Methods

, 2020
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

From Shear to Sound: Mechanics–Acoustics Mapping of TPMS Lattices

Advanced Engineering Materials, EarlyView.
Triply periodic minimal surface (TPMS) lattices are mapped across mechanical and acoustic performance, revealing that descriptors validated in compression fail under shear. First‐time comparison with trusses included. A transition from porous to resonance‐driven absorption emerges at 25% density.
Lucía Doyle, María Ángeles Navacerrada, Johan Christensen, Carlos González   +3 more
wiley   +1 more source

Nonlinear methods for design-space dimensionality reduction in shape optimization [PDF]

, 2017
In shape optimization, design improvements significantly depend on the dimension and variability of the design space. High dimensional and variability spaces are more difficult to explore, but also usually allow for more significant improvements.
D'AGOSTINO, DANNY, Danny D’Agostino, Andrea Serani, Serani, Andrea, Matteo Diez, Emilio F. Campana, Diez, Matteo, Campana, Emilio F.   +7 more
core   +1 more source

Influence of Geometric Design on Mechanical Performance of Auxetic Metastructure

Advanced Engineering Materials, EarlyView.
Strategic geometric reinforcement transforms auxetic performance. This study evaluates 3D‐printed arrowhead metastructures, revealing that a modified design with local ring reinforcement suppresses premature failure to achieve superior energy absorption and structural efficiency.
Muhammad Gulzari, Supharoek Sornsomrit, Muhammad Ayaz Akbar, Stephan Rudykh   +3 more
wiley   +1 more source