COMPUTER-AIDED SUPPORTING MODELS OF CUSTOMIZED CRACK PROPAGATION SENSORS FOR ANALYSIS AND PROTOTYPING


Spatio-Temporal Changes in Vegetation in the Last Two Decades (2001–2020) in the Beijing–Tianjin–Hebei Region

In terrestrial ecosystems, vegetation is sensitive to climate change and human activities.Its spatial-temporal changes also affect the ecological and social environment.In this paper, we considered the Beijing–Tianjin–Hebei region to study the spatio-temporal vegetation patterns.The detailed analysis of a moderate-resolution imaging spectroradi

read more


Energy Management Strategy Based on Reinforcement Learning and Frequency Decoupling for Fuel Cell Hybrid Powertrain

This study presents a Two-Layer Deep Deterministic Policy Gradient (TL-DDPG) energy management strategy for Hydrogen fuel cell hybrid train, that aims to solve the problem that traditional reinforcement learning strategies require high initial values click here and are difficult to optimize global variables.Augmenting the optimization capabilities

read more