When Ying Zhang was a doctoral student at Virginia Tech, she spent years learning to think like an attacker—probing software ...

From affordability to carbon output, there are many reasons to bring topological optimization out of the realm of 3D printing and into the real world. Share on Facebook (opens in a new window) Share ...

Abstract: In this work, we focus on solving non-smooth non-convex maximization problems in multi-group multicast transmission. By leveraging Karush-Kuhn-Tucker (KKT) optimality conditions, we ...

Abstract: The rapid evolution of Adaptive Education highlights the necessity of personalized learning paths that cater to the unique cognitive styles, preferences, and capabilities of each student.

Abstract: Multiaxis motion control systems have gained widespread adoption. However, the implementations of multiaxis servo control using distributed controllers are hindered by the data exchange ...

Abstract: The Steelmaking-Continuous Casting (SCC) scheduling problem is usually regarded as a type of hybrid flow-shop scheduling problems (HFSP) with special process constraints. To research the SCC ...

Abstract: Metaheuristics are widely recognized gradient-free solvers to hard problems that do not meet the rigorous mathematical assumptions of conventional solvers. The automated design of ...

Abstract: With the rapid development of the smart grid relying on communication and computer science technology, its vulnerabilities to intentional cyber-attacks are also exposed to cyber-attackers.

Abstract: The rapid expansion of cloud data centers, driven by the increasing demand for diverse user services, has escalated energy consumption and greenhouse gas emissions, posed severe ...