We're thrilled to announce that our research on "Exploring Unsupervised Anomaly Detection for Vehicle Predictive Maintenance with Partial Information" was presented at EDBT/ICDT 2024 in Paestum, Italy by Mr Apostolos Giannoulidis.
A huge thank you to Mr Anastasios Gounaris and Mr Apostolos Giannoulidis from the Data and Web Science Lab (Datalab) for their invaluable contribution and the great collaboration with Mr Ioannis Constantinou to the study, which sheds light on enhancing safety and reducing downtime in vehicle fleets monitored by ISTOGNOSIS.
🔍 You can delve into the details of the paper here:
https://lnkd.in/dx2qHipB
🔍And don't forget to explore the implementation and publicly provided dataset:
https://lnkd.in/dy7uaNzA
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