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Forecasting the future water height of a reservoir with temporal data mining

By: Rushdi, Mohamed Saudulla AabidContributor(s): Dr. Amal Shehan Perera [supervisor]Language: English Publisher: [2018]Description: x, 75p. : charts, col. maps, col. photos., CD-ROM includedSubject(s): MSc in Computer Science | COMPUTER SCIENCE AND ENGINEERING-Dissertations | COMPUTER SCIENCE-Dissertations | DATA MINING | FLOOD CONTROL | ARTIFICIAL NEURAL NETWORKS | MADURU OYA RESERVOIROnline resources: Click here to access online Dissertation note: Department of Computer Science & Engineering Faculty of Engineering University of Moratuwa 2018
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Thesis Thesis Library, University of Moratuwa
The University of Moratuwa Library (UML) is one of the most prominent technology libraries in the country. Its main subject specializations are Engineering, Architecture and Information Technology. However, the library caters to the requirements of the membership by housing books and other materials of general interest as well.
Thesis Collection
004(043) (Browse shelf) DCS 05/70 LB/DON/18/2019 Not For Loan TH3768

M.Sc. in Computer Science & Engineering

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Department of Computer Science & Engineering Faculty of Engineering University of Moratuwa 2018

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