Artificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble
learning (EL) are four outstanding approaches that enable algorithms to extract information …

The construction of new structures on existing pile foundations can significantly reduce the
overall project costs. The reuse of foundations requires information on the embedded depth …

The current methodology of assessing the compaction characteristic of subgrade fillers is
time-consuming. The spot-sampling method and the following laboratory tests bring bias to …

The practice of reusing unknown foundations in construction projects involves using existing
foundations, even though there may be limited knowledge about their geometric and …

The characterization of geometric and mechanical properties is of great importance for the
reuse of unknown foundations. In this paper, we propose a pile characterization method to …

The thesis addresses a Laplace Transform (LT) based analysis of Markov process driven
queues. The provided analysis can model various service demand systems, for example …