Recently, unmanned aerial vehicles (UAVs) or drones have emerged as a ubiquitous and
integral part of our society. They appear in great diversity in a multiplicity of applications for …

In this study, we combine graph optimization and prediction in a single pipeline to
investigate an innovative convolutional graph-based neural network for urban traffic flow …

Energy efficiency is an important concern that the scientific community and society will have
to deal with in the coming years. Power-efficient structures and effective energy resource …

Photovoltaic (PV) technology can convert solar energy to electric power, which is an
essential tool for future years. Subsequently, several static solar PV models have been …

We mapped landslide susceptibility in Kamyaran city of Kurdistan Province, Iran, using a
robust deep-learning (DP) model based on a combination of extreme learning machine …

The use of artificial intelligence (AI) at the edge is transforming every aspect of the lives of
human beings from scheduling daily activities to personalized shopping recommendations …

The whale optimizer is a popular metaheuristic algorithm, which has the problems of weak
global exploration, easy falling into local optimum, and low optimization accuracy when …

The broad availability of connected and intelligent devices has increased the demand for
Internet of Things (IoT) applications that require more intense data storage and processing …

The deep learning model constituting two neural network models (ie, densely connected
and long short-term memory) has been applied for automatic characterization of dual …

Abstract Nowadays, Artificial Intelligence (AI) based modeling is the major consideration to
build efficient, automated, and smart systems for our today's needs. Many companies are …