The ability to promptly and efficiently detect arbitrarily complex patterns in massive real-time
data streams is a crucial requirement in many modern applications. The ever-growing scale …

Many researchers migrate scientific serverless workflows or function choreographies (FCs)
on Function-as-a-Service (FaaS) to benefit from its high scalability and elasticity …

With the trend that the Internet is becoming more accessible and our devices being more
mobile, people are spending an increasing amount of time on social networks. However …

A temporal model describes processes as a sequence of observable events characterised
by distinguishable actions in time. Conformance checking allows these models to determine …

Abstract High Utility Sequential Pattern mining (HUSP) algorithms aim to find all the high
utility sequences from a sequence database. Due to the large explosion of data, recently few …

As the volume of satellite images increases rapidly, unsupervised classification can be
utilized to swiftly investigate land cover distributions without prior knowledge and to …

One of the crucial factors in achieving a high punctuality in railway traffic systems, is the
ability to effectively reschedule the trains when disturbances occur. The railway traffic …

Powerline inspection and modelization using airborne light detection and ranging (LiDAR)
data have been widely studied through the years. However, to the best of our knowledge …

In this paper, a second-order finite volume Non-Homogeneous Riemann Solver is used to
obtain an approximate solution for the two-dimensional shallow water …

The performance of OpenFOAM in strong scaling tests on HPC systems with AMD EPYC
processors exhibits a pronounced superlinear speedup. Simple test cases show superlinear …