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  6. Municipal Solid Waste Management Forecasting using Neural Networks at Discharge Point ScaleMunicipal Solid Waste Management Forecasting using Neural Networks at Discharge Point Scale
  7. Scenario 3 Generic predictive behaviourScenario 3 Generic predictive behaviour
  8. Scenario 3 Generic predictive behaviour without normalisationScenario 3 Generic predictive behaviour without normalisation
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Scenario 3 Generic predictive behaviour without normalisation

Nodes

  • Column Filter6 ×
  • Math Formula5 ×
  • Keras Dense Layer4 ×
  • Loop End4 ×
  • Row Filter4 ×
  • Transpose4 ×
  • Column Renamer3 ×
  • Component Input3 ×
  • Component Output3 ×
  • Group Loop Start3 ×
  • String Manipulation (Variable)3 ×
  • Table Creator3 ×
  • Table Row to Variable3 ×
  • Concatenate2 ×
  • Create File/Folder Variables2 ×
  • Expression2 ×
  • GroupBy2 ×
  • CASE Switch End1 ×
  • CASE Switch Start1 ×
  • CSV Reader1 ×
  • CSV Writer1 ×
  • Column Resorter1 ×
  • Counting Loop Start1 ×
  • Create Collection Column1 ×
  • Date&Time Configuration1 ×
  • Double To Int1 ×
  • Integer Configuration1 ×
  • Keras Input Layer1 ×
  • Keras Network Executor1 ×
  • Keras Network Learner1 ×
  • Numeric Scorer1 ×
  • Row to Column Names1 ×
  • RowID1 ×
  • Single Selection Configuration1 ×
  • Sorter1 ×
  • Split Collection Column1 ×
  • String to Path (Variable)1 ×
  • Partitioning1 ×
  • Timer Info1 ×
  • Variable Expression1 ×
  • Variable to Table Row1 ×

Extensions

  • FeatureKNIME Base nodes
  • FeatureKNIME Deep Learning - Keras Integration
  • FeatureKNIME Expressions
  • FeatureKNIME Javasnippet
  • FeatureKNIME Math Expression (JEP)
  • Show all 6 modules

Links

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Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: sdlmm
Created at: 2026-01-24
On NodePit since: 2026-01-25
Last update: 2026-01-25
Created with KNIME version: v5.5.0

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