[HTML][HTML] The big picture on the internet of things and the smart city: a review of what we know and what we need to know

A Rejeb, K Rejeb, S Simske, H Treiblmaier, S Zailani - Internet of Things, 2022 - Elsevier
This study examines how the application of the IoT in smart cities is discussed in the current
academic literature. Based on bibliometric techniques, 1,802 articles were retrieved from the …

Blockchain for edge of things: Applications, opportunities, and challenges

TR Gadekallu, QV Pham, DC Nguyen… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In recent years, blockchain networks have attracted significant attention in many research
areas beyond cryptocurrency, one of them being the Edge of Things (EoT) that is enabled by …

Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects

AR Javed, F Shahzad, S ur Rehman, YB Zikria… - Cities, 2022 - Elsevier
Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …

Design and development of a deep learning-based model for anomaly detection in IoT networks

I Ullah, QH Mahmoud - IEEE Access, 2021 - ieeexplore.ieee.org
The growing development of IoT (Internet of Things) devices creates a large attack surface
for cybercriminals to conduct potentially more destructive cyberattacks; as a result, the …

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 …

Privacy-preserving blockchain-based federated learning for traffic flow prediction

Y Qi, MS Hossain, J Nie, X Li - Future Generation Computer Systems, 2021 - Elsevier
As accurate and timely traffic flow information is extremely important for traffic management,
traffic flow prediction has become a vital component of intelligent transportation systems …

A novel PCA–whale optimization-based deep neural network model for classification of tomato plant diseases using GPU

TR Gadekallu, DS Rajput, MPK Reddy… - Journal of Real-Time …, 2021 - Springer
The human population is growing at a very rapid scale. With this progressive growth, it is
extremely important to ensure that healthy food is available for the survival of the inhabitants …

Artificial intelligence (AI) and big data for coronavirus (COVID-19) pandemic: a survey on the state-of-the-arts

QV Pham, DC Nguyen, T Huynh-The, WJ Hwang… - IEEE …, 2020 - ieeexplore.ieee.org
The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec.
2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and …

[HTML][HTML] Deep learning-based intrusion detection for distributed denial of service attack in agriculture 4.0

MA Ferrag, L Shu, H Djallel, KKR Choo - Electronics, 2021 - mdpi.com
Smart Agriculture or Agricultural Internet of things, consists of integrating advanced
technologies (eg, NFV, SDN, 5G/6G, Blockchain, IoT, Fog, Edge, and AI) into existing farm …

Permissioned blockchain and deep learning for secure and efficient data sharing in industrial healthcare systems

R Kumar, P Kumar, R Tripathi, GP Gupta… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The industrial healthcaresystem has enabled the possibility of realizing advanced real-time
monitoring of patients and enriched the quality of medical services through data sharing …