Waste level forecasting for ARS Traffic and Technology

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Keywords	time-series prediction, machine learning, supply chain management, waste management, smart city
Thesis Advisor	Veelenturf, Luuk, van Dalen, Jan
Persistent URL	hdl.handle.net/2105/65057
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Marshall, Hans. (2022). Waste level forecasting for ARS Traffic and Technology. In Business Analytics & Management.http://hdl.handle.net/2105/65057

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