The manuscript represents a comeprehensive and systematic literature review on the
machine learning methods in the emerging applications of the smart cities. Application …

Objectives: The study reported in this article aimed to identify:(i) the most relevant
applications supported by smart city infrastructure with an impact on the provision of …

Recent studies found that selective ensemble learning (eg, dynamic ensemble selection)
shows better predictive performance for classification tasks, compared to traditional static …

In this paper, a prototype model for creating a smart world based on a number of quantum
data processing technologies has been presented. It also attempts to define the roles of …

How data is represented and operationalized is critical for building computational solutions
that are both effective and efficient. A common approach is to represent data objects as …

For this thesis, data was provided by EscuLine, a Business Intelligence and Healthcare
Analytics company working for healthcare organizations in the Netherlands. Data was …