Работы, на которые ссылается эта работа

Работ: 154

Работа: Towards the application of machine learning in digital twin technology: a multi-scale review

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ДругоеЦитирований: 13
ABI
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
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Статья2014Цитирований: 7
ABI
The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
Edward H. Glaessgen, David S. Stargel
Статья2012Цитирований: 5
ABI
A systematic review of a digital twin city: A new pattern of urban governance toward smart cities
Tianhu Deng, Keren Zhang, Zuo‐Jun Max Shen
Обзорная статья2021Цитирований: 5
ABI
Isolation Forest
Fei Tony Liu, Kai Ming Ting, Zhi‐Hua Zhou
Статья2008Цитирований: 4
ABI
Intelligent Manufacturing in the Context of Industry 4.0: A Review
Ray Y. Zhong, Xun Xu, Eberhard Klotz +1
Обзорная статья2017Цитирований: 4
ABI
Enabling technologies and tools for digital twin
Qinglin Qi, Fei Tao, Tianliang Hu +5
Статья2019Цитирований: 4
ABI
Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues
Yuqian Lu, Chao Liu, Kevin I‐Kai Wang +2
Статья2019Цитирований: 3
ABI
Review of digital twin about concepts, technologies, and industrial applications
Mengnan Liu, Shuiliang Fang, Huiyue Dong +1
Статья2020Цитирований: 3
ABI
Deep Reinforcement Learning: A Brief Survey
Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage +1
Статья2017Цитирований: 3
ABI
A state-of-the-art survey on Augmented Reality-assisted Digital Twin for futuristic human-centric industry transformation
Yue Yin, Pai Zheng, Chengxi Li +1
Статья2022Цитирований: 3
ABI
A review of digital twin-driven machining: From digitization to intellectualization
Shimin Liu, Jinsong Bao, Pai Zheng
Обзорная статья2023Цитирований: 3
ABI
Additive manufacturing methods and modelling approaches: a critical review
Harry Bikas, Panagiotis Stavropoulos, George Chryssolouris
Обзорная статья2015Цитирований: 2
ABI
DBSCAN Revisited, Revisited
Erich Schubert, Jörg Sander, Martin Ester +2
Статья2017Цитирований: 2
ABI
Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison
Fei Tao, Qinglin Qi, Lihui Wang +1
Статья2019Цитирований: 2
ABI
Visualisation of the Digital Twin data in manufacturing by using Augmented Reality
Zexuan Zhu, Chao Liu, Xun Xu
Статья2019Цитирований: 2
ABI
Optimization of Molecules via Deep Reinforcement Learning
Zhenpeng Zhou, Steven Kearnes, Li Li +2
Статья2019Цитирований: 2
ABI
Industry 4.0, digitization, and opportunities for sustainability
Morteza Ghobakhloo
Статья2019Цитирований: 2
ABI
Network Anomaly Detection Using LSTM Based Autoencoder
Mahmoud Said Elsayed, Nhien‐An Le‐Khac, Soumyabrata Dev +1
Статья2020Цитирований: 2
ABI
A Review of Deep Reinforcement Learning for Smart Building Energy Management
Liang Yu, Shuqi Qin, Meng Zhang +3
Обзорная статья2021Цитирований: 2
ABI
Energy flexibility of residential buildings: A systematic review of characterization and quantification methods and applications
Han Li, Zhe Wang, Tianzhen Hong +1
Обзорная статья2021Цитирований: 2
ABI
Smart Building Energy Inefficiencies Detection through Time Series Analysis and Unsupervised Machine Learning
Hanaa Talei, Driss Benhaddou, Carlos Gamarra +2
Статья2021Цитирований: 2
ABI
Digital Twin applications toward Industry 4.0: A Review
Mohd Javaid, Abid Haleem, Rajiv Suman
Обзорная статья2023Цитирований: 2
ABI
Systematic review of digital twin technology and applications
Junfeng Yao, Yong Yang, Xuecheng Wang +1
Обзорная статья2023Цитирований: 2
ABI
Technologies for digital twin applications in construction
Valerian Vanessa Tuhaise, J.H.M. Tah, Fonbeyin Henry Abanda
Статья2023Цитирований: 2
ABI