Results 191 to 200 of about 121,870 (266)
Cognitive Networks for Knowledge Modeling: A Gentle Introduction for Data- and Cognitive Scientists. [PDF]
Haim E, Stella M.
europepmc +1 more source
Hybrid Metalens–Compressive Sensing Imaging System for Ultra‐Low‐Power Edge Detection
We propose an ultra‐low‐power edge detection imaging system through the combination of a spiral metalens and a compressive sensor. By moving the edge detection to a passive optical element, not only is the required power reduced but also the encoded edge image provides rich high‐frequency information, which provides high‐fidelity image reconstruction ...
Sejin Yoon +3 more
wiley +1 more source
Research on the Consensus Convergence Rate of Multi-Agent Systems Based on Hermitian Kirchhoff Index Measurement. [PDF]
Deng H, Wu T.
europepmc +1 more source
This study investigates the effect of cerebral and vascular (beta‐amyloid) Aβ on regional myeloarchitecture and lipid composition in a murine model of Alzheimer's disease (AD). The study highlights the feasibility of quantitative MRI and chemical exchange saturation transfer (CEST) imaging to identify multiple biophysical mechanisms involved in ...
Syed Salman Shahid +7 more
wiley +1 more source
Early diagnosis of alzheimer's disease using PET imaging and deep learning with comparative data augmentation techniques. [PDF]
Athar M +6 more
europepmc +1 more source
Toward Genuine Efficiency and Cluster Robustness of Preconditioned CG‐Like Eigensolvers
ABSTRACT The locally optimal block preconditioned conjugate gradient (LOBPCG) method is a popular solver for large and sparse Hermitian eigenvalue problems. However, recently proposed alternatives for its single‐vector version LOPCG indicate certain problematic cases with less accurate preconditioners and clustered target eigenvalues.
Ming Zhou, Klaus Neymeyr
wiley +1 more source
Hierarchical sparse Bayesian learning with adaptive Laplacian prior for single image super-resolution. [PDF]
Qi M, Zhou Y, Hu Y, Xie C, Xu S.
europepmc +1 more source
ABSTRACT In this paper, we continue the development of the Cartan neural networks programme, launched with three previous publications, by focusing on some mathematical foundational aspects that we deem necessary for our next steps forward. The mathematical and conceptual results are diverse and span various mathematical fields, but the inspiring ...
Pietro Fré +4 more
wiley +1 more source
Optimal tracking consensus for swarm systems with leader-following switching topologies. [PDF]
Zhang Q, Wang C, Zhao M, Xi J, Zheng Y.
europepmc +1 more source
ABSTRACT Assessing treatment effect moderation is critical in biomedical science and many other fields, as it guides personalized interventions to improve individual health outcomes. Individual participant‐level data meta‐analysis (IPD‐MA) offers a robust framework for such assessments by leveraging data from multiple studies.
Qiao Wang, Hwanhee Hong
wiley +1 more source

