Rocero: Auswertung des Füllverhaltens der Glassammelstellen

Wir haben Korrelation zwischen Bevölkerung und Füllverhalten analysiert, sowie eine zeitliche Vorhersage der Füllhöhe pro Sensor errechnet.


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2 years ago ~ gaston_wey

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2 years ago ~ n3xed

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2 years ago ~ cdric_christen

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2 years ago ~ cdric_christen

EDITED v. 19

2 years ago ~ cdric_christen

Remove image from readme (@N3xed)

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2 years ago ~ cdric_christen

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Update readme (@N3xed)

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2 years ago ~ cdric_christen

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2 years ago ~ cdric_christen

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2 years ago ~ cdric_christen

Update README, add results (@N3xed)

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2 years ago ~ cdric_christen

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2 years ago ~ roman_weiss

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2 years ago ~ cdric_christen

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2 years ago ~ n3xed

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2 years ago ~ cdric_christen

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2 years ago ~ cdric_christen

Create slides (@N3xed)

save shape files of geometries (@cedric.christen)

Add plots (@N3xed)

Merge branch 'master' of github.com:N3xed/glass-utilization-predictor merge (@cedric.christen)

population correlation plot (@cedric.christen)

Remove unused python file (@N3xed)

Calculate slope in one model, add graphs (@N3xed)

prototype ready without graphics (@cedric.christen)

Fix start time of accuracy calc (@N3xed)

calculate slope pop prototype (@cedric.christen)

Add accuracy calc script (@N3xed)

Add script for preparing the sensor data and splitting it into periods (@N3xed)

get population per collection point (@cedric.christen)

Füllstandanalyse (@cedric.christen)

Add people and districts jupyter notebook (@N3xed)

Add reame, datasets.md (@N3xed)

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