A new review maps the evolution of cloud task scheduling algorithms, from classical heuristics to nature-inspired ...

Floods rank among the world’s most devastating annual disasters in terms of casualties and economic losses, making evacuation route planning crucial for mitigating flood risks. This study proposes a ...

Robot swarms classify arena shapes by estimating a global spectral signature from information exchanged between robots.

As cities worldwide accelerate toward electrification and decarbonization, the convergence of distributed energy resources and electric mobility is reshaping the architecture of modern power systems.

A particle swarm optimization strategy that dynamically selects the most informative clients in federated learning matches ...

From searching disaster zones and responding to chemical spills to monitoring fragile ecosystems, future robot swarms may have to act in places where direct human control is difficult or dangerous. To ...