A stochastic resource allocation model, based on the principles of Markov decision
processes (MDPs), is proposed in this paper. In particular, a general-purpose framework is …

This study introduces a novel methodology designed to assess the accuracy of data
processing in the Lambda Architecture (LA), an advanced big-data framework qualified for …

Perception-based advanced driver-assistance systems (ADAS) are widely applied in
modern vehicles to assist drivers by increasing the vehicle's safe operation. This perception …

The thesis is motivated by applying Machine Learning and analytical applications over IoT
data in the production environment. We focus on how the two fields work together in …

In the environment of big data, the application of cutting-edge information technology
promotes the collection of large-scale multi-sample data in the workshop. This paper mainly …

In the environment of big data, the application of cutting-edge information technology
promotes the collection of large-scale multi-sample data in the workshop. This paper mainly …

Processing both streaming and batch data at the same time for big data analytics is very
rare, even it is not possible to implement in real time applications such as air/ground …

The framework was designed for managing dependencies by utilising and slightly adjusting
state-of-the-art solutions. The evaluation of the framework was done by implementing a …