Computing Rate-Distortion Functions of Continuous Memoryless Sources via Discrete Algorithms: An Integrated Scheme with Convergence Guarantee and Algorithmic Acceleration. [PDF]
Chen L +5 more
europepmc +1 more source
Preventing wall deposition in duct flows: The role of particle number density and flow direction
Abstract Particle deposition in wall‐bounded turbulent flows is a challenge in many industries, including pneumatic conveying, filtration, and related applications. When particles accumulate near boundaries, they reduce transport efficiency, alter near‐wall flow structures, and cause blockage.
Gizem Ozler, Holger Grosshans
wiley +1 more source
The Simplest Complexity: The Story of the Three-Body Problem. [PDF]
Kol B.
europepmc +1 more source
Abstract Hybrid models (HMs) combine fundamental model (FM) equations with empirical components. These models can lead to improved predictions because they reduce process/model mismatch and can account for phenomena that are not considered in the FM equations.
Mouna Y. Harb, Kimberley B. McAuley
wiley +1 more source
Dual-energy CT material decomposition in the presence of nonuniqueness. [PDF]
Phillips JJ, Sidky EY, Reiser IS, Pan X.
europepmc +1 more source
A partial envelope approach for modelling multivariate spatial‐temporal data
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja +3 more
wiley +1 more source
Energy-Efficient Hierarchical Federated Learning in UAV Networks with Partial AI Model Upload Under Non-Convex Loss. [PDF]
Li H, Wang S, Du Y, Li R, Fan X, Luo C.
europepmc +1 more source
ABSTRACT Actin filaments exhibit isoform and species‐specific mechanical properties that are commonly quantified via their persistence length, yet the reliability of such measurements depends not only on the analysis method but also on dataset characteristics.
Peter Nietmann +3 more
wiley +1 more source
Tree Height Prediction Using a Double Hidden-Layer Neural Network and a Mixed-Effects Model. [PDF]
Shen J, Lei X, Li Y, Pan Y, Wang G.
europepmc +1 more source
Quenching the Hubbard Model: Comparison of Nonequilibrium Green's Function Methods
ABSTRACT We benchmark nonequilibrium Green's function (NEGF) approaches for interaction quenches in the half‐filled Fermi–Hubbard model in one and two dimensions. We compare fully self‐consistent two‐time Kadanoff–Baym equations (KBE), the generalized Kadanoff–Baym ansatz (GKBA), and the recently developed NEGF‐based quantum fluctuations approach (NEGF‐
Jan‐Philip Joost +3 more
wiley +1 more source

