Results 121 to 130 of about 478,588 (342)

Exploring the Potential of Variational Autoencoders for Modeling Nonlinear Relationships in Psychological Data

Behavioral Sciences
Latent variables analysis is an important part of psychometric research. In this context, factor analysis and other related techniques have been widely applied for the investigation of the internal structure of psychometric tests.
Nicola Milano, Monica Casella, Raffaella Esposito, Davide Marocco   +3 more
doaj   +1 more source

Low-Rank Kernel-Based Semisupervised Discriminant Analysis

Applied Computational Intelligence and Soft Computing, 2016
Semisupervised Discriminant Analysis (SDA) aims at dimensionality reduction with both limited labeled data and copious unlabeled data, but it may fail to discover the intrinsic geometry structure when the data manifold is highly nonlinear.
Baokai Zu, Kewen Xia, Shuidong Dai, Nelofar Aslam   +3 more
doaj   +1 more source

An Emergent Space for Distributed Data With Hidden Internal Order Through Manifold Learning

IEEE Access, 2018
Manifold-learning techniques are routinely used in mining complex spatiotemporal data to extract useful, parsimonious data representations/parametrizations; these are, in turn, useful in nonlinear model identification tasks.
Felix P. Kemeth, Sindre W. Haugland, Felix Dietrich, Tom Bertalan, Kevin Hohlein, Qianxiao Li, Erik M. Bollt, Ronen Talmon, Katharina Krischer, Ioannis G. Kevrekidis   +9 more
doaj   +1 more source

Dimensional reduction of nonlinear time delay systems [PDF]

International Journal of Mathematics and Mathematical Sciences, 2005
Whenever there is a time delay in a dynamical system, the study of stability becomes an infinite‐dimensional problem. The centre manifold theorem, together with the classical Hopf bifurcation, is the most valuable approach for simplifying the infinite‐dimensional problem without the assumption of small time delay.
openaire   +3 more sources

Finite-Dimensional Reduction of Systems of Nonlinear Diffusion Equations

Mathematical Notes, 2023
We present a class of one-dimensional systems of nonlinear parabolic equations for which long-time phase dynamics can be described by an ODE with a Lipschitz vector field in R^n. In the considered case of the Dirichlet boundary value problem sufficient conditions for a finite-dimensional reduction turn out to be much wider than the known conditions of ...
openaire   +2 more sources

Locally linear embedding algorithm : Extensions and applications [PDF]

, 2006
Raw data sets taken with various capturing devices are usually multidimensional and need to be preprocessed before applying subsequent operations, such as clustering, classification, outlier detection, noise filtering etc.
Kayo, Olga
core  

Simulation of Inhomogeneous Refractive Index Fields Induced by Hot Tailored Forming Components

Advanced Engineering Materials, EarlyView.
This article presents a simulation model for simulating inhomogeneous refractive index fields (IRIF) in hot‐forged components, accounting for thermal influences and complex geometries. Through this simulation, a priori knowledge about the propagation of the IRIF can be obtained, allowing for the positioning of the component or an optical measurement ...
Pascal Kern, Lennart Hinz, Markus Kästner, Eduard Reithmeier   +3 more
wiley   +1 more source

Semantic Orchestration and Exploitation of Material Data: A Dataspace Solution Demonstrated on Steel and Copper Applications

Advanced Engineering Materials, EarlyView.
This article introduces the Dataspace Management System (DSMS), a methodological framework realized in software, designed as a technology stack to power dataspaces with a focus on advanced knowledge management in materials science and manufacturing. DSMS leverages heterogeneous data through semantic integration, linkage, and visualization, aligned with
Yoav Nahshon, Lukas Morand, Matthias Büschelberger, Dirk Helm, Kiran Kumaraswamy, Paul Zierep, Matthias Weber, Pablo de Andrés   +7 more
wiley   +1 more source

Enhancement of Classifier Performance with Adam and RanAdam Hyper-Parameter Tuning for Lung Cancer Detection from Microarray Data—In Pursuit of Precision

Bioengineering
Microarray gene expression analysis is a powerful technique used in cancer classification and research to identify and understand gene expression patterns that can differentiate between different cancer types, subtypes, and stages.
Karthika M S, Harikumar Rajaguru, Ajin R. Nair   +2 more
doaj   +1 more source

KupferDigital: Ontology‐Based Digital Representation for the Copper Life Cycle

Advanced Engineering Materials, EarlyView.
It is demonstrated how data from different stages in the life cycle of a copper product can be stored in an ontology‐based data space. In order to showcase the methods and tools used in the project, four use cases are presented that show how data from different sources can be semantically described and queried from a shared data space.
Miriam Eisenbart, Thomas Hanke, Felix Bauer, Hossein Beygi Nasrabadi, Kurt Junghanns, Gordian Dziwis, Ladji Tikana, Ashak Mahmud Parvez, Karl Gerald van den Boogaart, Mohsin Sajjad, Valerie Friedmann, Johannes Preußner, Anantha Narayanan Ramakrishnan, Sandy Klengel, Lars‐Peter Meyer, Michael Martin, Ulrich Ernst Klotz, Birgit Skrotzki, Matthias Weber   +18 more
wiley   +1 more source