IEEE

A Human-in-the-Loop Framework for Interactive and Explainable Data-Driven Modeling

Abstract: Data-driven models are widely adopted, but their opaque nature often hinders understanding and trust. This paper introduces a novel human-in-the-loop framework for interactive and ...
Frontiers

Forecasting the fracture: a cost-driven machine learning framework for optimal bridge maintenance prioritization

Aging civil infrastructure presents a critical economic and public safety challenge, with maintenance backlogs costing hundreds of billions of dollars. This study moves beyond simple condition ...
Gainesville

CEO Zarif Aminyar Introduces Adaptive HR Intelligence Framework for the AI-Driven Future of Human Resources

SACRAMENTO, CA, UNITED STATES, March 4, 2026 /EINPresswire.com/ — Nexus HR Services today announced the introduction of the Adaptive HR Intelligence Framework (AHIF ...
IEEE

A Low-Cost Data-Driven Synthesis Framework for the Multilayer FSS Topological Inverse Design

Abstract: To address the unacceptable dataset collection cost of data-driven models and the nonuniqueness inherent in electromagnetic (EM) inverse design, this work proposes a low-cost data-driven ...