Abstract Machine learning (ML) has been increasingly used to aid aerodynamic shape
optimization (ASO), thanks to the availability of aerodynamic data and continued …

Cluster analysis is an essential tool in data mining. Several clustering algorithms have been
proposed and implemented, most of which are able to find good quality clustering results …

Microgrids are gaining popularity by facilitating distributed energy resources (DERs) and
forming essential consumer/prosumer centric integrated energy systems. Integration …

Purpose Accounting information systems are mainly rule-based, and data are usually
available and well-structured. However, many accounting systems are yet to catch up with …

The construction sector and the industries comprising it are among the most significant
contributors to waste generation worldwide. The recently introduced concept of the Circular …

Kmeans clustering algorithm is an iterative unsupervised learning algorithm that tries to
partition the given dataset into k pre-defined distinct non-overlapping clusters where each …

There is no doubt that the world is currently experiencing a global pandemic that is
reshaping our daily lives as well as the way business activities are being conducted. With …

Retrospectively, an organization's capacity to comprehend the distinct needs of its clients
will undoubtedly provide it with a competitive advantage in terms of delivering targeted client …

This work introduces a data-driven approach based on k-means clustering with datasets
elicited under a Picture fuzzy set (PFS) environment. With the vision, mission, and goals …

Machine learning (ML) has transformed the financial industry by enabling advanced
applications such as credit scoring, fraud detection, and market forecasting. At the core of …