Study on artificial intelligence: The state of the art and future prospects

C Zhang, Y Lu - Journal of Industrial Information Integration, 2021 - Elsevier
In the world, the technological and industrial revolution is accelerating by the widespread
application of new generation information and communication technologies, such as AI, IoT …

[HTML][HTML] Towards risk-free trustworthy artificial intelligence: Significance and requirements

L Alzubaidi, A Al-Sabaawi, J Bai, A Dukhan… - International Journal of …, 2023 - hindawi.com
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision-making (DM), these systems have found wide-ranging applications across diverse …

Toward edge intelligence: Multiaccess edge computing for 5G and Internet of Things

Y Liu, M Peng, G Shou, Y Chen… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
To satisfy the increasing demand of mobile data traffic and meet the stringent requirements
of the emerging Internet-of-Things (IoT) applications such as smart city, healthcare, and …

Intelligent edge computing in internet of vehicles: A joint computation offloading and caching solution

Z Ning, K Zhang, X Wang, L Guo, X Hu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Recently, Internet of Vehicles (IoV) has become one of the most active research fields in
both academic and industry, which exploits resources of vehicles and Road Side Units …

RL/DRL meets vehicular task offloading using edge and vehicular cloudlet: A survey

J Liu, M Ahmed, MA Mirza, WU Khan… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The last two decades have seen a clear trend toward crafting intelligent vehicles based on
the significant advances in communication and computing paradigms, which provide a safer …

Making knowledge tradable in edge-AI enabled IoT: A consortium blockchain-based efficient and incentive approach

X Lin, J Li, J Wu, H Liang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Nowadays, benefit from more powerful edge computing devices and edge artificial
intelligence (edge-AI) could be introduced into Internet of Things (IoT) to find the knowledge …

Digital twin empowered mobile edge computing for intelligent vehicular lane-changing

B Fan, Y Wu, Z He, Y Chen, TQS Quek, CZ Xu - IEEE Network, 2021 - ieeexplore.ieee.org
With automated driving forthcoming, lane-changing for Connected and Automated Vehicles
(CAVs) has received wide attention. The main challenge is that lane-changing requires not …

Evolutionary computation for intelligent transportation in smart cities: A survey

ZG Chen, ZH Zhan, S Kwong… - IEEE Computational …, 2022 - ieeexplore.ieee.org
As the population in cities continues to increase, large-city problems, including traffic
congestion and environmental pollution, have become increasingly serious. The …

Deep reinforcement learning for intelligent internet of vehicles: An energy-efficient computational offloading scheme

Z Ning, P Dong, X Wang, L Guo… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
The emerging vehicular services call for updated communication and computing platforms.
Fog computing, whose infrastructure is deployed in close proximity to terminals, extends the …

Mobility-aware offloading and resource allocation in a MEC-enabled IoT network with energy harvesting

H Hu, Q Wang, RQ Hu, H Zhu - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC)-enabled Internet of Things (IoT) networks have been
deemed a promising paradigm to support massive energy-constrained and computation …