Deep neural networks (DNNs) are currently being deployed as machine learning technology
in a wide range of important real-world applications. DNNs consist of a huge number of …

River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …

The objective of this study is to determine the impact of artificial intelligence (AI) on the
earnings before interest, taxes, depreciation, and amortization (EBITDA) of firms as a proxy …

The data generated exponentially by a massive number of devices in the Internet of Things
(IoT) are extremely high-dimensional, large-scale, non-labeled, which poses great …

The egg is considered one of the best sources of dietary protein, and has an important role
in human growth and development. With the increase in the world's population, per capita …

The complex and interconnected infrastructure of smart cities offers several opportunities for
attackers to exploit vulnerabilities and carry out cyberattacks that can have serious …

The significant contribution of human errors, accounting for approximately 94%(with a
margin of±2.2%), to road crashes leading to casualties, vehicle damages, and safety …

This paper proposes a new architecture Social Vehicular Edge Computing (SoVEC) by
integrating three domains: social network, vehicular ad-hoc network, and mobile edge …

Graph neural networks (GNNs) have achieved great success in many research areas
ranging from traffic to computer vision. With increased interest in cloud-native applications …

With the rapid evolution of the Internet, Internet of Things (IoT), and geographic information
systems (GIS), spatio-temporal big data (STBD) is experiencing exponential growth, marking …