Unsupervised Anomaly Detection for Communication Networks: An Autoencoder Approach

Efficiënte verwerking van heterogene IoT-data aan de hand van expressieve redeneertechnieken

Semantics-based platform for context-aware and personalized robot interaction in the internet of robotic things

Robots are moving from well-controlled lab environments to the real world, where an increasing number of environments has been transformed into smart sensorized IoT spaces. Users will expect these robots to adapt to their preferences and needs, and …

SENSdesc : connect sensor queries and context

Streaming MASSIF : cascading reasoning for efficient processing of iot data streams

In the Internet of Things (IoT), multiple sensors and devices are generating heterogeneous streams of data. To perform meaningful analysis over multiple of these streams, stream processing needs to support expressive reasoning capabilities to infer …

The MASSIF platform : a modular and semantic platform for the development of flexible IoT services

In the Internet of Things (IoT), data-producing entities sense their environment and transmit these observations to a data processing platform for further analysis. Applications can have a notion of context awareness by combining this sensed data, or …

Generic semantic platform for the user-friendly development of intelligent IoT services

User-friendly and scalable platform for the design of intelligent IoT services : a smart office use case