Articles

With the rapid advancement of artificial intelligence (AI) in industrial applications, this paper proposes a novel intelligent optimization method based on a hybrid data-model-driven approach to address traditional challenges in loader excavation trajectory optimization, including high data acquisition costs and computational complexity.

Under the background of "five aspects of education in parallel", integrating aesthetic education into engineering training is crucial for cultivating all-round engineering innovation talents. The engineering training center provides natural support for the implementation of aesthetic education.

Accurately predicting the sound insulation performance of a system is important for automotive NVH development. This paper proposes a sound intensity-guided gated recurrent unit model to improve prediction stability, robustness, and engineering applicability for vehicle floor sound insulation systems.

Although Maritime Autonomous Surface Ships (MASS) can detect and avoid collisions autonomously, they should be supervised or intervened by shore control center operators if necessary. This paper proposes a fault-tree-based collision risk analysis method that explicitly models operator mental workload under dynamic levels of human control.