Researchers harness nonlinear Compton scattering to create sharper, multicolor gamma-ray beams

Researchers from Skoltech, MEPhI, and the Dukhov All-Russian Research Institute of Automation have proposed a new method to ...
IEEE

An Amplitude Activation Function-Based Model for Behavioral Modeling of Nonlinear Systems

Abstract: Nonlinear models with a linear-in-coefficients property, i.e., the property that the model output is linear with respect to model coefficients, are highly valuable for behavioral modeling of ...
Scientific Research Publishing

The Rectangular 2D Cartesian Plane Framework of Curve Functions Involving Radius of Curvature—Nonlinear Differential Equations with Application to Regular Wedge Cam Design ()

Department of Mechanical Engineering, The University of Louisiana at Lafayette, Lafayette, LA, USA. The study of curvature in geometry and its relationship with differential equations is a central ...
IEEE

Nonlinear Locality-Preserving Projections With Dynamic Graph Learning

Abstract: The affinity graph is regarded as a mathematical representation of the local manifold structure. The performance of locality-preserving projections (LPPs) and its variants is tied to the ...
marktechpost

GraphIC: A Novel Machine Learning Approach that Leverages Graph-based Representations of Reasoning Processes Coupled with Bayesian Networks (BNs) to Select In-Context Examples ...

In-context learning (ICL) enables LLMs to adapt to new tasks by including a few examples directly in the input without updating their parameters. However, selecting appropriate in-context examples ...
ahajournals.org

Abstract TP31: Identifying Multivariate Nonlinear Bias in Sammpris Using Graph-Based AI Analysis

Background: Clinical trials are the most rigorous way of testing how novel treatments compare with existing ones regarding outcomes. The randomized controlled clinical trial has become the standard ...