Resource Allocation and Trajectory Planning in Integrated Sensing and Communication Enabled UAV-Assisted Vehicular Network. [PDF]
Song M, Song M, Zhang W, Bai J.
europepmc +1 more source
Building transformers from neurons and astrocytes. [PDF]
Kozachkov L, Kastanenka KV, Krotov D.
europepmc +1 more source
The Geographic Moran Effect: Theory, Methods, and Interpretation
ABSTRACT The Moran effect traditionally refers to the synchronization of population dynamics driven by shared environmental forcing rather than direct interactions among populations. Although extensively studied in population ecology, the Moran effect has received limited attention in geography, and its applicability remains insufficiently explored. In
Zhenzhi Jiao +2 more
wiley +1 more source
Stereological reconstructions of 3D cellular microstructures by combining adversarial learning and Voronoi tessellations. [PDF]
Fuchs L, Wilhelm T, Furat O, Schmidt V.
europepmc +1 more source
Simultaneous Optimization of Design Layout and Material Properties in Reinforced Concrete Structures
ABSTRACT The sustainable transformation of the building sector requires the design of mechanically efficient civil engineering structures, the consideration of material properties in the design layout plays an important role in this context. Steel‐reinforced concrete is an anisotropic bi‐material composite, which represents one of the most popular ...
Daniela Masarczyk +2 more
wiley +1 more source
Reconciled multiplicative relational two-stage network data envelopment analysis. [PDF]
Erturan MB.
europepmc +1 more source
Rapid discovery of stable materials by coordinate-free coarse graining. [PDF]
Goodall REA +4 more
europepmc +1 more source
Global Graph Surrogates and Neural Graph Elements for Computational Mechanics
ABSTRACT Machine learning surrogates are increasingly used to accelerate physics‐based simulations by predicting full‐field responses at a fraction of the computational cost. In this contribution, we present two complementary graph‐based approaches for surrogate modelling in computational mechanics.
Rutwik Gulakala, Marcus Stoffel
wiley +1 more source
Direction of impact for explainable risk assessment modeling. [PDF]
Borgonovo E +5 more
europepmc +1 more source
Gradient Flows on Sparse Representations for PDE‐Regularized Inverse Problems
ABSTRACT In this short paper, we summarize the theory of Atomic Gradient Flows (AGF) introduced in (Amend, Carioni and Zemas, arxiv:2603.25675, 2026), which provides a framework to construct gradient flows on sparse representations for convex regularized optimization problems.
Christian Amend, Marcello Carioni
wiley +1 more source

