Abstract: This work addresses an energy-minimized deadline-constrained task scheduling problem in human-cyber-physical systems. It consists of three subproblems: processor allocation, task sequencing, ...

And those who rarely used a procedural algorithm were significantly more likely to succeed on problem-solving questions. If you're enjoying this article, consider supporting our award-winning ...

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 ...

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

“Understanding these strengths could help people harness their natural problem-solving style in school, work and everyday life.” Additional authors include Brian Daly, PhD, Drexel professor of ...