Abstract: This paper proposes a dynamic parameter iterative optimization framework for off-grid direction-of-arrival (DOA) estimation in the presence of unknown mutual coupling (MC). By exploiting the ...

Kinaxis® Inc. (TSX: KXS), a global leader in supply chain orchestration, today announced a new milestone in advancing large-scale supply chain optimization within the Kinaxis Maestro™ platform.

The latest study published in Engineering has unveiled a groundbreaking approach to advancing green ethylene manufacturing, with profound implications for global sustainable chemical production.

Abstract: To successfully reconstruct the strong scatterers with high contrast in electromagnetic inverse scattering problems (ISPs), this letter proposes a region iteration method (RIM) based on the ...

Popular Reinforcement Fine-Tuning (RFT) methods, e.g., Group Relative Policy Optimization (GRPO), are limited by data preparation bottlenecks (e.g., noise or high cost) and exhibit unstable ...

ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.

Aiming at the dynamic similarity design of an aero-engine rotor system, this study proposes a parameterized dynamic similarity design method based on a genetic algorithm, specifically addressing the ...

Text-to-SQL translation, the task of transforming natural language queries into structured SQL statements, is essential for facilitating user-friendly database interactions. However, the task involves ...

Every day, researchers search for optimal solutions. They might want to figure out where to build a major airline hub. Or to determine how to maximize return while minimizing risk in an investment ...