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Engineering Supply Chain Transportation Indexes through Big Data Analytics and Deep Learning

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2015Deep learning applications and challenges in big data analytics2,597 cited
2014Big Data Deep Learning: Challenges and Perspectives1,255 cited
2017A survey on deep learning for big data1,226 cited
2019Uncertainty in big data analytics: survey, opportunities, and challenges618 cited
2020Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities505 cited
2015Data Science, Predictive Analytics, and Big Data in Supply Chain Management: Current State and Future Potential493 cited
2019Optimization under uncertainty in the era of big data and deep learning: When machine learning meets mathematical programming348 cited
2021Fusion-Based Supply Chain Collaboration Using Machine Learning Techniques278 cited
2017Deep learning in big data Analytics: A comparative study262 cited
2021Supply chain resilience: A review, conceptual framework and future research235 cited
2021Application of Machine Learning in Supply Chain Management: A Comprehensive Overview of the Main Areas230 cited
2016How to Use Big Data to Drive Your Supply Chain226 cited
2010Supply Chain Engineering221 cited
2019Performance indicators for supply chain resilience: review and conceptual framework220 cited

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2019An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain196 cited

2019Sustainable Supply Chains in the Age of AI and Digitization: Research Challenges and Opportunities195 cited

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