Waste level forecasting for ARS Traffic and Technology

Additional Metadata
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 Style AAA Style APA 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, September 23). Waste level forecasting for ARS Traffic and Technology. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/65057

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