Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things

J Zhang, D Tao - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
In the Internet-of-Things (IoT) era, billions of sensors and devices collect and process data
from the environment, transmit them to cloud centers, and receive feedback via the Internet …

Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions

SB Atitallah, M Driss, W Boulila, HB Ghézala - Computer Science Review, 2020 - Elsevier
The rapid growth of urban populations worldwide imposes new challenges on citizens' daily
lives, including environmental pollution, public security, road congestion, etc. New …

A digital twin smart city for citizen feedback

G White, A Zink, L Codecá, S Clarke - Cities, 2021 - Elsevier
A digital twin is a digital representation of a physical process, person, place, system or
device. Digital twins were originally designed to improve manufacturing processes using …

A survey of multi-access edge computing in 5G and beyond: Fundamentals, technology integration, and state-of-the-art

QV Pham, F Fang, VN Ha, MJ Piran, M Le, LB Le… - IEEE …, 2020 - ieeexplore.ieee.org
Driven by the emergence of new compute-intensive applications and the vision of the
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …

Toward enabled industrial verticals in 5G: A survey on MEC-based approaches to provisioning and flexibility

F Spinelli, V Mancuso - IEEE Communications Surveys & …, 2020 - ieeexplore.ieee.org
The increasing number of heterogeneous devices connected to the Internet, together with
tight 5G requirements have generated new challenges for designing network infrastructures …

A review on the role of machine learning in enabling IoT based healthcare applications

HK Bharadwaj, A Agarwal, V Chamola… - IEEE …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is playing a vital role in the rapid automation of the healthcare
sector. The branch of IoT dedicated towards medical science is at times termed as …

Complex-valued networks for automatic modulation classification

Y Tu, Y Lin, C Hou, S Mao - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Deep learning (DL) has been recognized as an effective solution for automatic modulation
classification (AMC). However, most recent DL based AMC works are based on real-valued …

Smart city concept in the light of the literature review

J Winkowska, D Szpilko, S Pejić - Engineering Management in …, 2019 - sciendo.com
Nowadays, the transformations of metropolises into smart cities is a crucial factor in
improving the living conditions of the inhabitants. The goal of the smart city concept is …

Dynamic task offloading and resource allocation for mobile-edge computing in dense cloud RAN

Q Zhang, L Gui, F Hou, J Chen, S Zhu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
With the unprecedented development of smart mobile devices (SMDs), eg, Internet-of-
Things devices and smartphones, various computation-intensive applications are …

Fusion of engineering insights and emerging trends: Intelligent urban traffic management system

AA Ouallane, A Bakali, A Bahnasse, S Broumi… - Information Fusion, 2022 - Elsevier
Traffic congestion is a great concern, especially in urban areas where the vehicles' number
on roads continues to intensify significantly against the slow development of road …