The swolfpy-inputdata module is responsible for storing, updating, and generating new uncertain input data for the process models in swolfpy-processmodels.
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Updated
Feb 21, 2024 - Python
The swolfpy-inputdata module is responsible for storing, updating, and generating new uncertain input data for the process models in swolfpy-processmodels.
The swolfpy-processmodels module is responsible for calculating and reporting the LCI of the waste management processes.
Machine learning and IOT (MQTT) to localize and predict best times for garbage collection. 1D K Means clustering route plotting POC is used.
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