Data mining is an analytical approach that contributes to achieving a solution to many
problems by extracting previously unknown, fascinating, nontrivial, and potentially valuable …

Geographic spaces is a vast and complex system involving multiple elements and nonlinear
interactions of these elements, and rich in geographical phenomena, processes and …

Abstract Campus Management Systems (CMSs) are vital tools in managing educational
institutions, handling tasks like student enrollment, scheduling, and resource allocation. The …

Recent advances in noninvasive portable and wearable biosensors have attracted
significant attention due to their capability to offer continual physiological information for …

This article reviews recent advances in causal inference relevant to sociology. We focus on
a selective subset of contributions aligning with four broad topics: causal effect identification …

Due to the recent advancements in the Internet of Things and data science techniques, a
wide range of studies have investigated the use of data mining (DM) and machine learning …

Over the preceding decades, the gradual and incessant advancement and dissemination of
artificial intelligence (AI) and automation have occasioned a noteworthy degree of …

Abstract Currently, artificial intelligence (AI), machine learning (ML), and deep learning (DL)
are gaining increased interest in many fields, particularly in pharmaceutical research and …

Extracting knowledge from hybrid data, comprising both categorical and numerical data,
poses significant challenges due to the inherent difficulty in preserving information and …

Selective laser melting (SLM) can produce complex metal components with high densities,
thereby surpassing the limitations of traditional machining methods. However, achieving …