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Publication: IIP Proceedings Year: 2022, Month: November Page No: 81-85, ISSN/ISBN: 978-93-95632-81-2, DOI/Link: https://rsquarel.org/assets/docupload/rsl2023EC8A20D3E76DA8B.pdf
SMART WASTE MANAGEMENT SYSTEM USING LSTM
Area/Stream: Artificial Intelligence, Authors: Pericharla Raja Ramesh, Dr. B. Indira Keywords: smart waste Book Name /series: Futuristic Trends in Artificial Intelligence, Volume 2, Book 17, Part 2, Chapter 1Publication: IIP Proceedings Year: 2022, Month: November Page No: 81-85, ISSN/ISBN: 978-93-95632-81-2, DOI/Link: https://rsquarel.org/assets/docupload/rsl2023EC8A20D3E76DA8B.pdf
Abstract:
It is a key technique which will address many issues in the transportation of waste material and also optimize the time and other resources required in it. The system will enable each of the recycling container to report its filling level and remaining capacity. The main objective of this system is to predict or estimate the expected time for emptying the contents of the container or bin, when the filling level of the container is above certain threshold. This system will avoid unnecessary transportation of vehicles/bins without breaking the threshold and overfilling requirements. Nevertheless, the effectiveness of this Smart waste management system depends on the status of filling level predictions. There are various technical implementations for acquiring a high-quality prediction. The analysis of operation of Smart waste management system disclosed that one of the main difficulties in an accurate detection of emptying the container based on the measurements from sensor devices which are attached onto the bin.
Cite this: Pericharla Raja Ramesh, Dr. B. Indira ,"SMART WASTE MANAGEMENT SYSTEM USING LSTM", Futuristic Trends in Artificial Intelligence, Volume 2, Book 17, Part 2, Chapter 1 , November, 2022, 81-85, 978-93-95632-81-2, https://rsquarel.org/assets/docupload/rsl2023EC8A20D3E76DA8B.pdf
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