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Artificial intelligence/machine learning in waste management This special issue aims to compile a diverse collection of manuscripts showcasing cutting-edge research and innovative applications of AI in waste management. Additionally, it will provide a synthesis presenting the editors’ perspective on the future of AI applied to solid waste. The topics of interest for this special issue include, but not limited to: - Data-driven prediction of waste generation - Smart bin technology - Computer vision and machine learning-based waste classification and automated sorting - Intelligent solid waste detection (marine littering, illegal dumping, etc.) - Robotic-AI-driven approaches for hazardous waste handling (toxic, radioactive, or biohazardous materials) - Non-destructive waste characterization using smart sensors, computer vision, and machine learning - Real-time monitoring of waste treatability - AI-based process optimization for waste reuse, recycling, and energy recovery - Machine lear
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