Artificial intelligence (AI) emphasises the creation of intelligent machines/systems that
function like humans. AI has been applied to many real-world applications. Machine …

Deep Neural Networks (DNNs) have become an essential and important supporting
technology for smart Internet-of-Things (IoT) systems. Due to the high computational costs of …

Compared to traditional distributed computing environments such as grids, cloud computing
provides a more cost-effective way to deploy scientific workflows. Each task of a scientific …

Currently, deep neural networks (DNNs) have achieved a great success in various
applications. Traditional deployment for DNNs in the cloud may incur a prohibitively serious …

Over the last few years, web phishing attacks have been constantly evolving causing
customers to lose trust in e-commerce and online services. Various tools and systems based …

Several classification methods in the task of electroencephalogram (EEG) classification
represent input features as symmetric positive definite (SPD) matrices. By translating the …

Today's real-world data is frequently significant in size, with many redundant, missing, and
noise-based features and data instances must be addressed before applying various data …

The Android platform has become the most common mobile platform of smart mobile
devices that attracts many users, developers and vendors. Accordingly, millions of Android …

The emerging serverless computing has become a captivating paradigm for deploying cloud
applications, alleviating developers' concerns about infrastructure resource management by …

Equilibrium optimizer (EO) is a new proposed meta-heuristic algorithm by utilizing the mass
balance model of the control volume. In order to solve the binary applications, this paper …