1. Machine Learning and Artificial Intelligence in Circular Economy: A Bibliometric Analysis and Systematic Literature Review
2. Yinghao Chu , Chen Huang , Xiaodan Xie , Bohai Tan , Shyam Kamal and Xiaogang Xiong . 2018 . Multilayer hybrid deep learning method for waste classification and recycling. Computational Intelligence and Neuroscience , Vol. 2018 . 9 pages. https ://doi.org/10.1155/2018/5060857 10.1155/2018 Yinghao Chu , Chen Huang, Xiaodan Xie, Bohai Tan, Shyam Kamal and Xiaogang Xiong. 2018. Multilayer hybrid deep learning method for waste classification and recycling. Computational Intelligence and Neuroscience, Vol. 2018. 9 pages. https ://doi.org/10.1155/2018/5060857
3. Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning
4. Simon Fahlea , Christopher Prinza and Bernd Kuhlenkötter . 2020 . Systematic review on machine learning (ML) methods for manufacturing processes- Identifying artificial intelligence (A.L.) methods for field application . In 53rd CIRP Conference On Manufacturing Systems . Chicago, USA , 1 - 3 . Simon Fahlea, Christopher Prinza and Bernd Kuhlenkötter. 2020.Systematic review on machine learning (ML) methods for manufacturing processes- Identifying artificial intelligence (A.L.) methods for field application. In 53rd CIRP Conference On Manufacturing Systems. Chicago, USA, 1-3.
5. Modelling and analysing the impact of Circular Economy; Internet of Things and ethical business practices in the VUCA world: Evidence from the food processing industry