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Automation:2023-2024年高引文章 | MDPI 编辑荐读

期刊名:Automation

期刊主页:https://www.mdpi.com/journal/automation

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我们为您精心整理了涵盖以下热点领域的高被引论文:

• 数字孪生 | 工业机器人 | 人工智能 | 智能制造

• 自动驾驶 | 神经网络| 精密控制

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1.英文标题:Robotic Disassembly Platform for Disassembly of a Plug-In Hybrid Electric Vehicle Battery: A Case Study

中文标题:插电式混合动力汽车电池机器人拆卸平台的实例研究

文章链接:http://www.mdpi.com/2673-4052/5/2/5

MDPI引用格式: Qu, M.; Pham, D.T.; Altumi, F.; Gbadebo, A.; Hartono, N.; Jiang, K.; Kerin, M.; Lan, F.; Micheli, M.; Xu, S.; et al. Robotic Disassembly Platform for Disassembly of a Plug-In Hybrid Electric Vehicle Battery: A Case Study. Automation 2024, 5, 50–67. https://doi.org/10.3390/automation5020005

2.英文标题:Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous Driving Systems

中文标题:利用多模态大语言模型(MLLMs)增强自动驾驶系统热图像中的目标检测和场景理解

文章链接:http://www.mdpi.com/2673-4052/5/4/29

MDPI引用格式: Ashqar, H.I.; Alhadidi, T.I.; Elhenawy, M.; Khanfar, N.O. Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous Driving Systems. Automation 2024, 5, 508–526. https://doi.org/10.3390/automation5040029

3.英文标题:A Semi-Automated Workflow for LULC Mapping via Sentinel-2 Data Cubes and Spectral Indices

中文标题:基于Sentinel-2数据立方体和光谱指数的半自动化LULC制图工作流程

文章链接:http://www.mdpi.com/2673-4052/4/1/7

MDPI引用格式: Chaves, M.E.D.; Soares, A.R.; Mataveli, G.A.V.; Sánchez, A.H.; Sanches, I.D. A Semi-Automated Workflow for LULC Mapping via Sentinel-2 Data Cubes and Spectral Indices. Automation 2023, 4, 94–109. https://doi.org/10.3390/automation4010007

4.英文标题:Deep Dyna-Q for Rapid Learning and Improved Formation Achievement in Cooperative Transportation

中文标题:深度Dyna-Q算法在协作运输中的快速学习与优化队形达成

文章链接:http://www.mdpi.com/2673-4052/4/3/13

MDPI引用格式: Budiyanto, A.; Matsunaga, N. Deep Dyna-Q for Rapid Learning and Improved Formation Achievement in Cooperative Transportation. Automation 2023, 4, 210–231. https://doi.org/10.3390/automation4030013.

5.英文标题:Implementation of Digital Twin and Real Production System to Address Actual and Future Challenges in Assembly Technology

中文标题:数字孪生与实时生产系统在装配技术中的实施:应对当前与未来挑战

文章链接:http://www.mdpi.com/2673-4052/4/4/20

MDPI引用格式: Christ, L.; Milloch, E.; Boshoff, M.; Hypki, A.; Kuhlenkötter, B. Implementation of Digital Twin and Real Production System to Address Actual and Future Challenges in Assembly Technology. Automation 2023, 4, 345–358. https://doi.org/10.3390/automation4040020.

6.英文标题:Virtual Commissioning of Linked Cells Using Digital Models in an Industrial Metaverse

中文标题:基于工业元宇宙数字模型的关联生产单元虚拟调试

文章链接:http://www.mdpi.com/2673-4052/5/1/1

MDPI引用格式: Ullrich, M.; Thalappully, R.; Heieck, F.; Lüdemann-Ravit, B. Virtual Commissioning of Linked Cells Using Digital Models in an Industrial Metaverse. Automation 2024, 5, 1–12. https://doi.org/10.3390/automation5010001.

7.英文标题:Vision-Based Object Manipulation for Activities of Daily Living Assistance Using Assistive Robot

中文标题:基于视觉的辅助机器人日常活动对象操作

文章链接:http://www.mdpi.com/2673-4052/5/2/6

MDPI引用格式: Shahria, M.T.; Ghommam, J.; Fareh, R.; Rahman, M.H. Vision-Based Object Manipulation for Activities of Daily Living Assistance Using Assistive Robot. Automation 2024, 5, 68–89. https://doi.org/10.3390/automation5020006.

8.英文标题:Automation Radiomics in Predicting Radiation Pneumonitis (RP)

中文标题:自动化放射组学预测放射性肺炎(RP)

文章链接:http://www.mdpi.com/2673-4052/4/3/12

MDPI引用格式: Raptis, S.; Softa, V.; Angelidis, G.; Ilioudis, C.; Theodorou, K. Automation Radiomics in Predicting Radiation Pneumonitis (RP). Automation 2023, 4, 191–209. https://doi.org/10.3390/automation4030012.

9.英文标题:Design, Assessment, and Modeling of Multi-Input Single-Output Neural Network Types for the Output Power Estimation in Wind Turbine Farms

中文标题:风电场输出功率估算的多输入单输出神经网络类型设计、评估与建模

文章链接:http://www.mdpi.com/2673-4052/5/2/12

MDPI引用格式: Sharkawy, A.-N.; Ameen, A.G.; Mohamed, S.; Abdel-Jaber, G.T.; Hamdan, I. Design, Assessment, and Modeling of Multi-Input Single-Output Neural Network Types for the Output Power Estimation in Wind Turbine Farms. Automation 2024, 5, 190–212. https://doi.org/10.3390/automation5020012.

10.英文标题:Trajectory Control in Discrete-Time Nonlinear Coupling Dynamics of a Soft Exo-Digit and a Human Finger Using Input–Output Feedback Linearization

中文标题:基于输入-输出反馈线性化的软外指与人指离散非线性耦合动力学轨迹控制

文章链接:http://www.mdpi.com/2673-4052/4/2/11

MDPI引用格式: Alam, U.K.; Shedd, K.; Haghshenas-Jaryani, M. Trajectory Control in Discrete-Time Nonlinear Coupling Dynamics of a Soft Exo-Digit and a Human Finger Using Input–Output Feedback Linearization. Automation 2023, 4, 164–190. https://doi.org/10.3390/automation4020011.

我们诚邀活跃于本领域、积极投身于前沿研究的学者踊跃投稿,如有意向,敬请不吝联系《Automation》编辑部 (automation@mdpi.com)。

Automation期刊介绍

主编:Eyad H. Abed, University of Maryland, USA

Automation (ISSN 2673-4052) 是一本国际性的、经过同行评审的开放获取期刊。期刊主要发表自动化、控制及相关领域的高质量论文。期刊旨在提供高知名度和及时的研究成果,并致力于快速出版。该期刊为自动化、控制及其应用的专业和多学科研究提供了一个平台。Automation 创刊于2020年;2023年被Scopus数据库收录,2024年被ESCI数据库收录;今年获得首个影响因子2.0。

2024 Impact Factor
2.0
2024 CiteScore
4.1
Time to First Decision
23.4 Days
Acceptance to Publication
3.6 Days
 
 
 
 
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