This comprehensive review provides an in-depth analysis of graph theory, various graph
types, and the role of graph visualization in scientific studies. Graphs serve as powerful tools …

Recent trends in Wearable Human Activity Recognition (WHAR) have led to an
unprecedented 42.9% increase in scholarly articles in 2022, underscoring the urgency for a …

In recent years, deep learning has emerged as a potent tool across a multitude of domains,
leading to a surge in research pertaining to its application in the Wearable Human Activity …

The quality of Machine Learning (ML) models strongly depends on the input data, as such
generating high-quality features is often required to improve the predictive accuracy. This …

Machine Learning (ML) has demonstrated a significant utility in decision-making within the
domain of data management. Since the quality of an ML model strongly depends on the …

The quality of Machine Learning (ML) models strongly depends on the input data, as such
Feature Engineering (FE) is often required in ML. In addition, with the proliferation of ML …

Abstract The quality of Machine Learning (ML) models strongly depends on the quality of the
input data, as such Feature Engineering (FE) is often required in ML. In addition, with the …

Feature engineering stands as a pivotal step in enhancing the performance of machine
learning models, particularly with tabular data. However, traditional feature engineering …

Money laundering, the process of disguising illegally obtained assets to appear legitimate,
poses significant social and economic challenges. It involves crimes like human trafficking …

Pervasive computing technologies are increasingly integral to numerous domains,
necessitating enhanced explainability due to their human-centered design. However, task …