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A Digitalized Design Risk Analysis Tool with Machine-Learning Algorithm for EPC Contractor’s Technical Specifications Assessment on Bidding
16 references·0 citing·49 second hop
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References

  • 2011Analysing factors affecting delays in Indian construction projects748 cited
  • 2019Development of Automatic-Extraction Model of Poisonous Clauses in International Construction Contracts Using Rule-Based NLP166 cited
  • 2015Applying Artificial Neural Networks for Measuring and Predicting Construction-Labor Productivity162 cited
  • 2020Critical Success Factors for Sustainable Construction Project Management144 cited
  • 2015Analysis of project success factors in construction industry132 cited
  • 2011Preliminary Study on Causative Factors Leading to Construction Cost Overrun129 cited
  • 2017Causes of contractors’ claims in international engineering-procurement-construction projects113 cited
  • 2021The Engineering Machine-Learning Automation Platform (EMAP): A Big-Data-Driven AI Tool for Contractors’ Sustainable Management Solutions for Plant Projects88 cited
  • 2009Reducing the total cost of supply through risk-efficiency-based supplier selection in the EPC industry57 cited
  • 2021AI and Text-Mining Applications for Analyzing Contractor’s Risk in Invitation to Bid (ITB) and Contracts for Engineering Procurement and Construction (EPC) Projects55 cited
  • 2013Using Probability – Impact Matrix in Analysis and Risk Assessment Projects54 cited
  • 2015Time–Cost Optimization Model Considering Float-Consumption Impact48 cited
  • 2020Applying and Assessing Performance of Earned Duration Management Control Charts for EPC Project Duration Monitoring

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31 cited
  • 2012Dynamic Engineering Multi-criteria Decision Making Model Optimized by Entropy Weight for Evaluating Bid31 cited
  • 2018Application of fuzzy preference relation for evaluating success factors of construction organisations29 cited
  • 2018Semantic PDF Segmentation for Legacy Documents in Technical Documentation12 cited
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