The past decade has been characterized by the growing volumes of data due to the
widespread use of the Internet of Things (IoT) applications, which introduced many …

Internet of Things (IoT) systems include many smart devices that continuously generate
massive spatio-temporal data, which can be difficult to process. These continuous data …

In recent years, the large amount of heterogeneous data generated by the Internet of Things
(IoT) sensors and devices made recording and research tasks much more difficult, and most …

IoT technology implies a huge group of connected devices to capture a tremendous quantity
of information. Computing and storing this huge amount of data requires scalable and …

Efficient similarity search is a core issue for retrieval operations on large amounts of complex
data, often relying on Metric Access Methods (MAMs) to speed up the Range and k-NN …

The work presented in this Ph. D. thesis focuses on develo** a large-scale distributed
video surveillance system for tracking suspicious moving objects and analysing their …

The proliferation of interconnected devices in the Internet of Things (IoT) has led to an
exponential increase in data, commonly known as Big IoT Data. Efficient retrieval of this …

Over the past decades, the volume of Internet of Things (IoT) data has exploded which raise
the problem of indexing, storing and retrieving efficiently. Most studies are based on dividing …

Literature reports several infectious diseases news validation approaches, but none is
economically effective for collecting and classifying information on different infectious …

In recent years, the large amount of continuous and heterogeneous datagenerated by the
Internet of Things (IoT) sensors and devices madetheir record and the query search tasks …