Loss functions and constraints improve sea surface height prediction

In order to understand currents, tides and other ocean dynamics, scientists need to accurately capture sea surface height, or ...
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 ...
Frontiers

EEG-based epilepsy detection with graph correlation analysis

1 School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China 2 School of Information Engineering, East University of Heilongjiang, Harbin, China Recognizing ...
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 ...
University of Arkansas

Scientists Design Novel Nonlinear Circuit to Harvest Clean Power Using Graphene

Obtaining useful work from random fluctuations in a system at thermal equilibrium has long been considered impossible. In fact, in the 1960s eminent American physicist Richard Feynman effectively shut ...
IEEE

Nonlinear Graph Wavelets via Medianfication

Abstract: Graph wavelet transforms allow for the effective representation of signals that are defined over irregular domains. The transform coefficients should be sparse, and encode salient features ...
thetechedvocate.org

Activities to Teach Students to Identify Linear and Nonlinear Functions: Tables

Linear and nonlinear functions are the building blocks of algebra. They are essential to the understanding of graphs, equations, and the principles that govern the study of mathematics beyond the ...