Michael Sharp

Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook

Artificial intelligence and internet of things in small and medium-sized enterprises: A survey

Artificial intelligence, machine learning and deep learning in advanced robotics, a review

Outlook on human-centric manufacturing towards Industry 5.0

Behind the definition of Industry 5.0: a systematic review of technologies, principles, components, and values

A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing

Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain

Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing

Deep reinforcement learning for a color-batching resequencing problem

Identifying industry 5.0 contributions to sustainable development: A strategy roadmap for delivering sustainability values

Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning

Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects

Optimizing smart manufacturing systems by extending the smart products paradigm to the beginning of life

Transferable two-stream convolutional neural network for human action recognition

Sustainable industrial and operation engineering trends and challenges Toward Industry 4.0: a data driven analysis

The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities

A survey of the advancing use and development of machine learning in smart manufacturing