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TU Berlin

Inhalt des Dokuments

Laufende Arbeiten
Name
Titel
Betreuer
Patrick Bartels
P4-based in-band Network Telemetry Implementation for Microburst Detection
Gulenko
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
Kyra Kasz
Autoencoder-based Anomaly Detection for combinded Sewage Overflow Monitoring
Lorenz
Abdallah Kadour
Design of an Integration Framework for eHealth-Services
Kao
Anna Mager
Benchmarking Ceph as Distributed File System for Edge Computing Environments
Becker
Ajay Kumar Mandapati
Diagnosis of Anomalies in Multimodal Distributed System Data using Deep Neural Networks
Nedelkoski
Kashika Manocha
Detection of Security-Related Anomalies from System Data in Cloud Environments using Deep Learning
Nedelkoski
Dmytro Mezinov
Design und Entwicklung einer zur Laufzeit erweiterbaren mobilen Applikation zur Aufbereitung patientengenerierter Zeitreihendaten auf Basis von standardisierten IoT-Protokollen
Kao
Syed Jafer Raza Naqvi
Multi-Source Metric Data Collection and Correlation in Public Cloud Infrastructures
Acker
Lukas Neumann
Implementation of a Browser-based Graph Visualization Front-end with Focus on Scalability
Acker
Marcin Ozimirski
Sink directed Routing for Wake-up Sensor Mesh Networks
Schmidt
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
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
Jessica Woods
Adaptive Checkpointing for Distributed Stream Processing
Thamsen

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