IEEE

An Iterative Re-Weighting Algorithm for Element to Solve Sparsity-Regularized Linear Inverse Problem and an Application in Sparse-Spike Deconvolution of Seismic Data

Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...
Science Daily

New AI method tackles one of science’s hardest math problems

Penn researchers have developed a smarter AI method for solving notoriously difficult inverse equations, which help ...
IEEE

A Noise-Tolerant Proximal Neurodynamic Algorithm for Solving MVIPs in Fixed-Time With Circuit Implementations and Applications

Abstract: In this paper, we propose a new noise-tolerant neurodynamic algorithm with fixed-time convergence to solve mixed variational inequality problems (MVIPs) and design the circuit framework for ...
Journal of Medical Internet Research

Machine Learning–Based Prediction of Substance Use in Adolescents in Three Independent Worldwide Cohorts: Algorithm Development and Validation Study

We also assessed feature importance using traditional methods and further analyzed variable contributions through SHapley Additive exPlanation values. Results: The study used nationwide adolescent ...