Results 81 to 90 of about 28,556 (267)

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

open access: yesAdvanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez   +4 more
wiley   +1 more source

Observations on the Computation of Eigenvalue and Eigenvector Jacobians

open access: yesAlgorithms, 2019
Many scientific and engineering problems benefit from analytic expressions for eigenvalue and eigenvector derivatives with respect to the elements of the parent matrix.
Andrew J. Liounis   +2 more
doaj   +1 more source

Tree decomposition by eigenvectors

open access: yesLinear Algebra and its Applications, 2009
25 ...
Sander, T., Sander, J.W.
openaire   +2 more sources

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu   +11 more
wiley   +1 more source

Tracing Student Activity Patterns in E-Learning Environments: Insights into Academic Performance

open access: yesFuture Internet
In distance learning educational environments like Moodle, students interact with their tutors, their peers, and the provided educational material through various means.
Evgenia Paxinou   +5 more
doaj   +1 more source

An Integrated and Robust Deep Learning Framework for Denoising and Analyzing Single‐Cell Spatial Transcriptomics

open access: yesAdvanced Intelligent Systems, EarlyView.
Single‐cell Spatial Transcriptomics Analysis and Denoising Engine is introduced as a unified deep learning framework that jointly performs denoising, clustering, and gene prioritization in spatial transcriptomics. By integrating linear and nonlinear representations within a dual‐channel architecture, it improves robustness and accuracy, uncovers ...
Yaxuan Cui   +11 more
wiley   +1 more source

Evaluating the functionality of agricultural systems: social preferences for multifunctional peri-urban agriculture. The “Huerta de Valencia” as case study

open access: yesSpanish Journal of Agricultural Research, 2014
The debate on the multifunctionality of agriculture and its connections with territorial policies are the basis of the most appropriate approach to legitimize public interventions in the agricultural sector.
Inmaculada Marques-Perez   +2 more
doaj   +1 more source

Multi‐method analysis for the three‐dimensional reconstruction of muscle fascicles from DiceCT datasets

open access: yesThe Anatomical Record, EarlyView.
Abstract Muscle architecture is a major determinant of muscle performance and, in mammalian lineages, has been correlated with both feeding ecology and locomotor behaviors. Over the past decade, contrast‐enhanced micro‐CT (DiceCT) has emerged as an alternative to traditional dissection‐based measurement.
Aleksandra Ratkiewicz   +5 more
wiley   +1 more source

Patterns of spinal motion, kinematic spaces and the land‐to‐sea transition in carnivorans

open access: yesThe Anatomical Record, EarlyView.
Using 3D reconstructions, we quantify intervertebral joint mobility to investigate how cervical, thoracic, and lumbar vertebral regions evolved distinct kinematic roles in pinnipeds. The findings reveal lineage‐specific adaptations for swimming and highlight the functional significance of vertebral joint flexibility in ecological transitions.
Juan Miguel Esteban   +3 more
wiley   +1 more source

Covariance Blind Detection Method Based on Eigenvector in Cognitive Radio Network

open access: yesDianxin kexue, 2015
As the blind detection algorithm has the shortcoming that they need information about the channel and more than two cognitive users to detect the primary user,a new blind detection algorithm based on eigenvector using the difference of correlation ...
Yingxue Li   +4 more
doaj  

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