A review of deep reinforcement learning approaches for smart manufacturing in industry 4.0 and 5.0 framework
A del Real Torres, DS Andreiana, Á Ojeda Roldán… - Applied Sciences, 2022 - mdpi.com
In this review, the industry's current issues regarding intelligent manufacture are presented.
This work presents the status and the potential for the I4. 0 and I5. 0's revolutionary …
This work presents the status and the potential for the I4. 0 and I5. 0's revolutionary …
[HTML][HTML] 基于深度强化学习的动态装配算法
王竣禾， 姜勇 - 智能系统学报, 2023 - html.rhhz.net
针对动态装配环境中存在的复杂, 动态的噪声扰动, 提出一种基于深度强化学习的动态装配算法.
将一段时间内的接触力作为状态, 通过长短时记忆网络进行运动特征提取; 定义序列贴现因子 …
将一段时间内的接触力作为状态, 通过长短时记忆网络进行运动特征提取; 定义序列贴现因子 …
Robotic Assembly of Shaft Sleeves in Different Sizes Based on Deep Reinforcement Learning
X Ma, D Xu - International Journal of Precision Engineering and …, 2024 - Springer
Shaft sleeve is a kind of usual component in industrial manufacturing, and its assembly is
also a common task. The sizes of shaft sleeves are usually diverse due to the various …
also a common task. The sizes of shaft sleeves are usually diverse due to the various …
DRSAL: Deep Reinforcement Skin Cancer Diagnosis with Active Learning Technique
G Renith, A Senthilselvi - 2022 Third International Conference …, 2022 - ieeexplore.ieee.org
Malignancy is the most dangerous disease that causes higher fatality rate among humans.
Albeit, different malignancy found in recent times, skin cancer is considered as highly …
Albeit, different malignancy found in recent times, skin cancer is considered as highly …
[图书][B] Exploring the Adoption of a Conceptual Data Analytics Framework for Subsurface Energy Production Systems
RM Abdalla - 2023 - dokumente.ub.tu-clausthal.de
As technology continues to advance and become more integrated in the oil and gas
industry, a vast amount of data is now prevalent across various scientific disciplines …
industry, a vast amount of data is now prevalent across various scientific disciplines …