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- W2969439354 abstract "Today, the use of IoT devices, the inter-connectivity of machines and systems, and the development of novel analytic algorithms which are main characteristics of Industry 4.0 are also transferred to other domains connected to the industrial one. The advances on industrial domain have impact on waste management one as these domains are strictly connected. The connection with sensors on industrial partners premises, the big data availability and the significant advances on data analytics, enable the waste management companies to smarten their domain and automate many of their solutions and processes. In this work, we present a data analytics platform for the optimization of waste management procedures. By using this platform, a waste management company is able to monitor and analyze sensors data from industrial partners bins and optimize its planning based on different analytic tools and historical data. Besides the platform description, special focus is given on data analytics algorithms and methods." @default.
- W2969439354 created "2019-08-29" @default.
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- W2969439354 date "2019-05-01" @default.
- W2969439354 modified "2023-09-26" @default.
- W2969439354 title "Data Analytics Platform for the Optimization of Waste Management Procedures" @default.
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- W2969439354 doi "https://doi.org/10.1109/dcoss.2019.00074" @default.
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