Results 81 to 90 of about 28,556 (267)
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
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
25 ...
Sander, T., Sander, J.W.
openaire +2 more sources
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
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
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
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
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
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
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

