The increasing digitization and datification of all aspects of people's daily life, and the
consequent growth in the use of personal data, are increasingly challenging the current …

Since the emergence of the new severe acute respiratory syndrome-related coronavirus 2
(SARS-CoV-2) at the end of December 2019 in China, and with the urge of the coronavirus …

For many machine learning models, a choice of hyperparameters is a crucial step towards
achieving high performance. Prevalent meta-learning approaches focus on obtaining good …

Ensuring secured and reliable dissemination of information for a mission-critical system
such as the Internet of Vehicle (IoV) in real-time is of utmost importance. In this work, a False …

Unsupervised anomaly detection (AD) is critical for a wide range of practical applications,
from network security to health and medical tools. Due to the diversity of problems, no single …

Machine learning (ML) has penetrated all aspects of the modern life, and brought more
convenience and satisfaction for variables of interest. However, building such solutions is a …

Considerable progress has been made in the recent literature studies to tackle the
Algorithms Selection and Parametrization (ASP) problem, which is diversified in multiple …

Energy is a vital resource in wireless computing systems. Despite the increasing popularity
of Wireless Local Area Networks (WLANs), one of the most important outstanding issues …

School dropout is a significant issue, especially in developing countries due to high poverty
levels and inadequate allocation of resources to education. This study applies Machine …