172 citations · 404 across the 23 of their papers we have counts for
6 papers · 1 filter
PrecTime: A Deep Learning Architecture for Precise Time Series Segmentation in Industrial Manufacturing Operations
Stefan Gaugel, Manfred Reichert
The fourth industrial revolution creates ubiquitous sensor data in production plants. To generate maximum value out of these data, reliable and precise time series-based machine le…
XAI in the context of Predictive Process Monitoring: Too much to Reveal
Ghada Elkhawaga, Mervat Abuelkheir, Manfred Reichert
Predictive Process Monitoring (PPM) has been integrated into process mining tools as a value-adding task. PPM provides useful predictions on the further execution of the running bu…
Predicting the Time Until a Vehicle Changes the Lane Using LSTM-based Recurrent Neural Networks
Florian Wirthmüller, Marvin Klimke, Julian Schlechtriemen +2
To plan safe and comfortable trajectories for automated vehicles on highways, accurate predictions of traffic situations are needed. So far, a lot of research effort has been spent…
CONDA-PM -- A Systematic Review and Framework for Concept Drift Analysis in Process Mining
Ghada Elkhawaga, Mervat Abuelkheir, Sherif I. Barakat +2
Business processes evolve over time to adapt to changing business environments. This requires continuous monitoring of business processes to gain insights into whether they conform…
Detecting Production Phases Based on Sensor Values using 1D-CNNs
Burkhard Hoppenstedt, Manfred Reichert, Ghada El-Khawaga +3
In the context of Industry 4.0, the knowledge extraction from sensor information plays an important role. Often, information gathered from sensor values reveals meaningful insights…
Teaching Vehicles to Anticipate: A Systematic Study on Probabilistic Behavior Prediction Using Large Data Sets
Florian Wirthmüller, Julian Schlechtriemen, Jochen Hipp +1
By observing their environment as well as other traffic participants, humans are enabled to drive road vehicles safely. Vehicle passengers, however, perceive a notable difference b…