9 citations · 26 across the 6 of their papers we have counts for
6 papers
From Internet of Things Data to Business Processes: Challenges and a Framework
Juergen Mangler, Ronny Seiger, Janik-Vasily Benzin +12
The IoT and Business Process Management (BPM) communities co-exist in many shared application domains, such as manufacturing and healthcare. The IoT community has a strong focus on…
Time-Series Foundation Models for Forecasting Soil Moisture Levels in Smart Agriculture
Boje Deforce, Bart Baesens, Estefanía Serral Asensio
The recent surge in foundation models for natural language processing and computer vision has fueled innovation across various domains. Inspired by this progress, we explore the po…
End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection
Boje Deforce, Meng-Chieh Lee, Bart Baesens +3
Time series anomaly detection (TSAD) finds many applications such as monitoring environmental sensors, industry KPIs, patient biomarkers, etc. A two-fold challenge for TSAD is a ve…
Self-Supervised Anomaly Detection of Rogue Soil Moisture Sensors
Boje Deforce, Bart Baesens, Jan Diels +1
IoT data is a central element in the successful digital transformation of agriculture. However, IoT data comes with its own set of challenges. E.g., the risk of data contamination…
SensorStream: An XES Extension for Enriching Event Logs with IoT-Sensor Data
Joscha Grüger, Lukas Malburg, Juergen Mangler +4
Process management and process orchestration/execution are currently hot topics; prevalent trends such as automation and Industry 4.0 require solutions which allow domain-experts t…
Modeling IoT-aware Business Processes - A State of the Art Report
Nadja Brouns, Samir Tata, Heiko Ludwig +2
This research report presents an analysis of the state of the art of modeling Internet of Things (IoT)-aware business processes. IOT links the physical world to the digital world.…