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TU Berlin

Inhalt des Dokuments

Theses in Progress
Name
Title
Supervisor
Sovit Agrawal
Unsupervised Detection of Anomalies in Distributed System Logs
Nedelkoski
Trieu Minh Bui
Implementierung eines WEKA-Plugins am Beispiel einer graphen-basierten Feature Selection mit maximalen Cliquen
Styp-Rekowski
Luk Bjarne Burchard
Efficient Imaging of Temporal online Networks under strict Accesss Constraints
Kao
Wladimir Gaus
Adaptive Scheduling of Distributed Stream Processing in heterogeneous IoT environments
Thamsen
Kyra Kasz
Autoencoder-based Anomaly Detection for combinded Sewage Overflow Monitoring
Lorenz
Abdallah Kadour
Design of an Integration Framework for eHealth-Services
Kao
Syed Jafer Raza Naqvi
Multi-Source Metric Data Collection and Correlation in Public Cloud Infrastructures
Acker
Eva Nguyen
The Potentials of AIOPs for large Companies - a Market Analysis Approach
Schmidt
Harald Ott
Infrastructure-Agnostic Anomaly Detection in Cloud Environments
Nedelkoski
Marcin Ozimirski
Sink directed Routing for Wake-up Sensor Mesh Networks
Lorenz
Ahmad Sabtain
Application of Neural Networks in Unsupervised Anomaly Detection from Time and Frequency Data of Rotating Machines
Styp-Rekowski
Dominik Scheinert
Deep Metric Learning for Multivariate Time Series - A Graph Convolutional Neural Network Approach
Acker
Phillip Stagnet
Erstellung und Umsetzung eines Konzeptes zur Konfiguration und Distribution verteilter containerbasierter Enterprise-Anwendungen
Kao
Heye Vöcking
Bluestreak - Privacy aware User Segmentation for Online Advertisement using Linear Regression
Becker
Tim Stahl
Using IoT Devices and hidden Markov Models to estimate Clogging of Street Inlets
Lorenz
Philipp Wiesner
Simulation of Energy Consumption in Fog Computing Environments
Thamsen
Christopher Woggon
Optimized Placement of Resource-Constrained Distributed Data Stream Operators
Gulenko
Jessica Woods
Adaptive Checkpointing for Distributed Stream Processing
Thamsen

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