Citation Impact
Citing Papers
Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case
2020 Standout
Review on the research and practice of deep learning and reinforcement learning in smart grids
2018 Standout
Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
2020 Standout
A New Fuzzy-Based Combined Prediction Interval for Wind Power Forecasting
2015
Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression
2019
Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook
2020
Artificial intelligence and internet of things in small and medium-sized enterprises: A survey
2020
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
2023 Standout
A Novel Dynamic-Weighted Probabilistic Support Vector Regression-Based Ensemble for Prognostics of Time Series Data
2015
Review on deep learning applications in frequency analysis and control of modern power system
2021 Standout
Fractional Hausdorff grey model and its properties
2020 Standout
Outlook on human-centric manufacturing towards Industry 5.0
2022 Standout
Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0
2020 Standout
Industry 5.0—A Human-Centric Solution
2019 Standout
A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends
2021 Standout
Behind the definition of Industry 5.0: a systematic review of technologies, principles, components, and values
2023 Standout
A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing
2019
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
Blockchain-oriented dynamic modelling of smart contract design and execution in the supply chain
2019 Standout
Digital twin-driven supervised machine learning for the development of artificial intelligence applications in manufacturing
2020
Prediction of Motor Failure Time Using An Artificial Neural Network
2019
Deep reinforcement learning for a color-batching resequencing problem
2020
Identifying industry 5.0 contributions to sustainable development: A strategy roadmap for delivering sustainability values
2022 Standout
Big data analysis of the Internet of Things in the digital twins of smart city based on deep learning
2021 Standout
Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future Prospects
2022 Standout
Optimizing smart manufacturing systems by extending the smart products paradigm to the beginning of life
2020
Transferable two-stream convolutional neural network for human action recognition
2020
Sustainable industrial and operation engineering trends and challenges Toward Industry 4.0: a data driven analysis
2021
The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities
2021 Standout
Machine learning driven smart electric power systems: Current trends and new perspectives
2020
A review of applications of artificial intelligent algorithms in wind farms
2019
Multi-variable grey model based on dynamic background algorithm for forecasting the interval sequence
2019
Works of Ronay Ak being referenced
A survey of the advancing use and development of machine learning in smart manufacturing
2018
Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction
2015
NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment
2012
Adequacy assessment of a wind-integrated system using neural network-based interval predictions of wind power generation and load
2017
An Interval-Valued Neural Network Approach for Uncertainty Quantification in Short-Term Wind Speed Prediction
2015