Results 81 to 90 of about 26,804 (294)
Advanced Engineering Materials, EarlyView.A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
lcUMAPtSNE: use of non-linear dimensionality reduction techniques with genotype likelihoods
BMC GenomicsBackground Understanding population structure is essential for conservation genetics, as it provides insights into population connectivity and supports the development of targeted strategies to preserve genetic diversity and adaptability.
Kerem Uzel +2 more
doaj +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 +2 more
wiley +1 more source
Nonlinear Dimensionality Reduction and Feature Selection [PDF]
, 2011 Machine learning methods are used to build models for classification and regression tasks, among others. Models are built on the basis of information contained in a set of samples, with few or no information about the underlying process.
12th EANN / 7th AIAI Joint Conference 2011 +1 more
core
Multi-Modal Learning With Generalizable Nonlinear Dimensionality Reduction [PDF]
, 2019 In practical machine learning settings, there often exist relations or links between data from different modalities. The goal of multimodal learning algorithms is to efficiently use the information available in different modalities to solve multi-modal ...
Semih Kaya +3 more
core +1 more source
IEEE Access, 2017 To improve smoke detection accuracy, we combine local binary pattern (LBP) like features, kernel principal component analysis (KPCA), and Gaussian process regression (GPR) to propose a novel data processing pipeline for smoke detection.
Feiniu Yuan +4 more
doaj +1 more source
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 +9 more
wiley +1 more source
Using Nonlinear Dimensionality Reduction in 3D Figure Animation ABSTRACT [PDF]
, 2008 This paper explores a method for re-sequencing an existing set of animation, specifically motion capture data, to generate new motion. Re-using animation is helpful in designing virtual environments and creating video games for reasons of cost and ...
A. Elizabeth Seward, Bobby Bodenheimer
core
Kernel Based Nonlinear Dimensionality Reduction and Classification for Genomic Microarray
Sensors, 2008 Genomic microarrays are powerful research tools in bioinformatics and modern medicinal research because they enable massively-parallel assays and simultaneous monitoring of thousands of gene expression of biological samples.
Lan Shu, Xuehua Li
doaj
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 +3 more
wiley +1 more source