From a governance perspective, the use of explainable AI is particularly significant. Infrastructure decisions involve public ...

As renewable power rapidly reshapes global electricity systems, engineers face a growing challenge: how to operate increasingly complex grids with ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

There are over 36,500 pieces of space debris of larger than 10 cm in orbit according to statistical model orbit provided by ...

Abstract: This paper proposes an enhanced Nonlinear Model Predictive Control (NMPC) framework that incorporates a robust, convergent variant of the resilient propagation (RPROP) algorithm to ...

To solve the global optimization problem, Marketing Attribution chose Gurobi for its advanced decision intelligence ...

With new AI agents, expanded CMS capabilities, and breakthroughs in experimentation and analytics, Optimizely marks a transformative year for digital teams ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), has ...

Recent advances in space robotics have underscored the need for modeling, estimation, and control frameworks that respect the intrinsic geometry of ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...

Abstract: This article develops a novel robust control methodology for nonlinear multiagent systems (MASs) to address the time-varying formation (TVF) problem. The methodology offers a concise yet ...