Physics-informed neural networks (PINNs) are an emerging method for solving partial
differential equations (PDEs) and have been widely applied in the field of scientific …

Current digging trajectory planning methods for excavator arms are limited to a single
digging cycle, which does not meet the continuous excavation demands of the task. To …

Abstract Background and Objectives Driven by the risk of repetitive head trauma, sensors
have been integrated into mouthguards to measure head impacts in contact sports and …

有限元方法在脑震荡领域的热点:脑损伤模型,测试方法与防护装备的改进 Page 1 Chinese
Journal of Tissue Engineering Research|Vol 28|No.34|December 2024|5487 中国组织工程 …

In biochemical modeling, some foundational systems can exhibit sudden and profound
behavioral shifts, such as the cellular signaling pathway models, in which the physiological …

Introduction Climate change and weather variability pose significant challenges to small-
scale crop production systems, increasing the frequency and intensity of extreme weather …

In this paper, we propose mesoscience-guided deep learning (MGDL), a deep learning
modeling approach guided by mesoscience, to study complex systems. When establishing …

As datasets increase in size and complexity, biomechanists have turned to artificial
intelligence (AI) to aid their analyses. This paper explores how explainable AI (XAI) can …

Head kinematics information is important as it is used to measure brain injury risk. Currently,
head kinematics are measured using wearable devices or instrumentation mounted on the …

With increasingly mature commercial operations, football has become the most popular
sport in the world. As the main body of football, athletes are prone to injury due to an …