For the last two decades, oversampling has been employed to overcome the challenge of
learning from imbalanced datasets. Many approaches to solving this challenge have been …

With the rise of Internet of Things (IoT) technology, the seamless connection between the
physical and digital worlds has been realized. This review paper aims to conduct a science …

Since most classifiers are biased toward the dominant class, class imbalance is a
challenging problem in machine learning. The most popular approaches to solving this …

Wireless Sensor Networks (WSNs) are considered to be among the most important scientific
domains. Yet, the exploitation of WSNs suffers from the severe energy restrictions of their …

One of the most difficult problems analysts and decision-makers may face is how to improve
the forecasting and predicting of financial time series. However, several efforts were made to …

With the emerging Internet of Things (IoT) technologies, the smart city paradigm has become
a reality. Wireless low-power communication technologies (LPWAN) are widely used for …

With the increasing popularity of smartphones, user identification has become a critical
component to ensure security and privacy. This study looked into how smartphone sensors' …

There are a plethora of invented classifiers in Machine learning literature, however, there is
no optimal classifier in terms of accuracy and time taken to build the trained model …

Abstract Linear Wireless Sensor Networks (LWSNs) are the most suitable wireless sensor
networks (WSNs) for monitoring the condition of infrastructures with linear typologies, eg …

Complementary solutions to the Medium Earth Orbit (MEO) Global Navigation Satellite
Systems (GNSS) are more and more in demand to be able to achieve seamless positioning …