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A Rule-Based Artificial Intelligence System for Optimized Management of Excavation Waste

https://doi.org/10.2139/ssrn.6239759
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Outgoing claims: the papers this work cites, builds on, or argues with.

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SEMA: A Site Equipment Management Assistant for Construction Management
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Vision-based integrated mobile robotic system for real-time applications in construction
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Evaluations of existing waste recycling methods: A Hong Kong study
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Construction and demolition waste generation and properties of recycled aggregate concrete: A global perspective
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Integrating artificial intelligence for sustainable waste management: Insights from machine learning and deep learning
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Overview of Emerging Technologies for Improving the Performance of Heavy-Duty Construction Machines
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Automation of Construction Progress Monitoring by Integrating 3D Point Cloud Data with an IFC-Based BIM Model
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Digital Twins in Construction: Architecture, Applications, Trends and Challenges
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Improving Material Tracking for Sustainable Construction: A Standard Operating Procedure (SOP) Framework for Resource Efficiency
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Earthwork Traceability Management System Using Compaction History and Dump Truck Sensing Data
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A Systematic Review of AI-Based Techniques for Automated Waste Classification
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Smart City Community Watch—Camera-Based Community Watch for Traffic and Illegal Dumping
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Impacts of Autonomous Vehicles on Traffic Flow Characteristics under Mixed Traffic Environment: Future Perspectives
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A Study on the Improvement Method of Large-scale Earthworks Using Smart Invoice
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Artificial Intelligence and IoT for Smart Waste Management: Challenges, Opportunities, and Future Directions
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