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Abstract Hospital waste threatens public health and the environment, yet it is usually collected on fixed schedules that ignore the operational state of bins, causing late pickup of high-risk streams, redundant trips, and avoidable emissions. This study develops a simulation-based decision-support framework that combines emulated IoT smart-bin monitoring with three learning components and a selective routing model.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
