1. Identify the key AI technologies and their applications in Waste management.
2. Examine the challenges and opportunities associated with the implementation of AI-In Indonesia.
3. Assess the impact of AI on enhancing efficiency and user experiences in the Indonesian.
Abdulkarim Almuhammad
Artificial intelligence technologies are revolutionizing the way waste is managed as waste can be visually identified to improve its classification for proper disposal and quantities can be easily predicted through data analysis to plan transportation and disposal.
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J. Raveena Jayam
Computer Vision: Used in waste sorting facilities to identify and classify waste types for automated sorting, improving recycling efficiency. Machine Learning Algorithms: Employed to optimize collection routes and schedules, reducing fuel costs and emissions for waste collection companies. Predictive Analytics: Helps forecast waste generation trends and landfill capacity, enabling proactive planning and better resource allocation in waste management systems.
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