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 …

With the growth of real-time and latency-sensitive applications in the Internet of Everything
(IoE), service placement cannot rely on cloud computing alone. In response to this need …

New technologies are transforming medicine, and this revolution starts with data. Health
data, clinical images, genome sequences, data on prescribed therapies and results …

We propose a tourist attraction IoT-enabled deep learning-based recommendation system to
enhance tourist experience in a smart city. Travelers will enter details about their travels …

Abstract The Internet of Things (IoT), owing to its ability to support sustainability in various
fields, has recently been considered one of the most important components of the …

Slope deformation prediction is crucial for early warning of slope failure, which can prevent
property damage and save human life. Existing predictive models focus on predicting the …

The growth of the number of connected devices in Internet of Things (IoT) systems causes a
huge increase in network traffic. Thus, there is a significant demand for systems that can …

Abstract The coronavirus (COVID-19) pandemic has caused disastrous results in most
countries of the world. It has rapidly spread across the globe with over 156 million …

The recent growth of Complex Networks (CN) has produced significant advancements in the
study of the integration of these networks into the Internet of Things (IoT) environment. As a …

Social media platforms play a tremendous role in the tourism and hospitality industry. Social
media platforms are increasingly becoming a source of information. The complexity and …