Value Chain has been considered as a key model for managing efficiently value creation
processes within organizations. However, with the digitization of the end-to-end processes …

Mapping of surface soil Hg concentrations, a priority pollutant, at continental scale is
important in order to identify hotspots of soil Hg distribution (eg mining or industrial pollution) …

The task of insights extraction from unstructured text poses significant challenges for big
data analytics because it contains subjective intentions, different contextual perspectives …

Named entity recognition is a fundamental step in biomedical text mining tasks where
discontinuous named entity recognition, shows more non-continuous and overlapping due …

To undertake computational research of the law, efficiently identifying datasets of court
decisions that relate to a specific legal issue is a crucial yet challenging endeavour. This …

In the current industrial landscape, a significant number of sectors are grappling with the
challenges posed by unstructured data, which incurs financial losses amounting to millions …

Abstract Big Data Analytics is widely adopted by large companies whilst only 10% of Small
and Medium-sized Enterprises (SMEs) have adopted the technology, despite the benefits …

Passerines are elusive animals, and their capture generally requires considerable fieldwork.
This study describes the capture and sampling of free-living birds from two of the most …

In twenty-first century, spatial database are becoming complex in nature due to the diversity
of resources to generate and collect these datasets. Efficient query handing and high …

With the development of new artificial intelligence and data science (DS) technologies, their
applications for implementing analysis in the Internet of Things (IoT) energy systems are …