The ever-increasing growth of online services and smart connectivity of devices have posed
the threat of malware to computer system, android-based smart phones, Internet of Things …

Several studies applying Machine Learning to deception detection have been published in
the last decade. A rich and complex set of settings, approaches, theories, and results is now …

As a new paradigm, fog computing (FC) has several characteristics that set it apart from the
cloud computing (CC) environment. Fog nodes and edge computing (EC) hosts have limited …

Banks rely heavily on loans as a primary source of revenue; however, distinguishing
deserving applicants who will reliably repay loans presents an ongoing challenge …

Background The application of classsification methods through multivariate and machine
learning techniques has enormous significance in agricultural sector. It is vital to classify …

This paper presents a unique hybrid classifier that combines deep neural networks with a
type-III fuzzy system for decision-making. The ensemble incorporates ResNet-18, Efficient …

To succeed, a firm essentially needs to take the right amount of risk. Thus, the great
significance of risk management has attracted many researchers to focus on how to …

In recent years, the exponential growth of malware has posed a significant security threat to
intelligent systems. Earlier static and dynamic analysis methods fail to achieve effective …

Job scheduling in cloud computing plays a crucial role in optimizing resource utilization and
ensuring efficient job allocation. But cloud resources may be wasted, or service performance …

The rapid integration of the Internet of Artificial Intelligence and Internet of Things (AI-IoT)
technologies has given rise to a pivotal element of the upcoming digital era, the Metaverse …