Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and ...

Emerging technology and shifting holding company structures are changing how clients evaluate agency partners — and the State ...

The study shows that personalized medicine demands new competences that extend beyond traditional medical training.

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

Abstract: This article tackles the problem of fixed-time attitude tracking control of rigid spacecrafts subject to unknown inertia and external disturbances. In particular, the approach focuses on ...

Abstract: This brief proposes a hierarchical predefined time optimal secondary control strategy for microgrid systems with external disturbances. Unlike traditional control methods, the key ...