Results 21 to 30 of about 178,756 (227)
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
Eigenvectors of block circulant and alternating circulant matrices [PDF]
The eigenvectors and eigenvalues of block circulant matrices had been found for real symmetric matrices with symmetric submatrices, and for block circulant matrices with circulant submatrices. The eigenvectors are now found for general block circulant
Tee, Garry J.
core +1 more source
Twisting singular solutions of Bethe's equations
The Bethe equations for the periodic XXX and XXZ spin chains admit singular solutions, for which the corresponding eigenvalues and eigenvectors are ill-defined. We use a twist regularization to derive conditions for such singular solutions to be physical,
Nepomechie, Rafael I., Wang, Chunguang
core +1 more source
Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing
This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to performance and variance of figure of merit (FoM) at the LOT level.
Sinyeong Kang +6 more
wiley +1 more source
Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards +2 more
wiley +1 more source
Dysonian dynamics of the Ginibre ensemble
We study the time evolution of Ginibre matrices whose elements undergo Brownian motion. The non-Hermitian character of the Ginibre ensemble binds the dynamics of eigenvalues to the evolution of eigenvectors in a non-trivial way, leading to a system of ...
Burda, Zdzisław +4 more
core +1 more source
We applied quantitative MRI of the lower limb and automated home‐cage phenotyping to a mouse model of calpainopathy to detect early disease changes. At 15 months, calpain 3‐deficient mice showed increased water T2 values correlating with immune cell infiltration in the soleus and gastrocnemius muscles, while assessment of motor activity revealed only ...
Nicolina Südkamp +12 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
Abstract Large swarms often adopt a hierarchical network structure that incorporates information aggregation. Although this approach offers significant advantages in terms of communication efficiency and computational complexity, it can also lead to degradation due to information constraints.
Kento Fujita, Daisuke Tsubakino
wiley +1 more source
An integral method for solving nonlinear eigenvalue problems
We propose a numerical method for computing all eigenvalues (and the corresponding eigenvectors) of a nonlinear holomorphic eigenvalue problem that lie within a given contour in the complex plane.
A. Jentzen +32 more
core +1 more source

