Providing end-to-end security using quantum walks in IoT networks

AA Abd El-Latif, B Abd-El-Atty… - IEEE …, 2020 - ieeexplore.ieee.org
Internet of Things acts an essential role in our everyday lives and it definitely has the
potential to grow on the importance and revolutionize our future. However, the present …

Deep reinforcement learning for energy-efficient federated learning in UAV-enabled wireless powered networks

QV Do, QV Pham, WJ Hwang - IEEE Communications Letters, 2021 - ieeexplore.ieee.org
Federated learning (FL) is a promising solution to privacy preservation for data-driven deep
learning approaches. However, enabling FL in unmanned aerial vehicle (UAV)-assisted …

SDN enhanced multi-access edge computing (MEC) for E2E mobility and QoS management

SDA Shah, MA Gregory, S Li, RDR Fontes - IEEE Access, 2020 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC) is a key enabler of the fifth-generation (5G) mobile
cellular networks. MEC enables Ultra-reliable and Low-latency Communications (URLLC) …

Data‐driven decision‐making model based on artificial intelligence in higher education system of colleges and universities

Y Teng, J Zhang, T Sun - Expert Systems, 2023 - Wiley Online Library
The quality of management decisions is one of the main issues facing higher education
institutions today. Strategic decisions taken by the higher education institutions affect …

Toward industrial revolution 4.0: Development, validation, and application of 3D-printed IoT-based water quality monitoring system

YJ Wong, R Nakayama, Y Shimizu, A Kamiya… - Journal of Cleaner …, 2021 - Elsevier
Recent technological advances and developments have evolved the application of the
Internet of Things (IoT), low-cost sensors, and three-dimensional (3D) printing for near-real …

Edge intelligence for data handling and predictive maintenance in IIOT

T Hafeez, L Xu, G Mcardle - IEEE Access, 2021 - ieeexplore.ieee.org
The use of IoT has become pervasive and IoT devices are common in many domains.
Industrial IoT (IIoT) utilises IoT devices and sensors to monitor machines and environments …

Artificial intelligence assisted improved human-computer interactions for computer systems

MS Alkatheiri - Computers and Electrical Engineering, 2022 - Elsevier
The interaction between people and computers takes place everywhere in everyday life
through information processing. As the degree of contact between humans and computers …

Multiagent actor-critic network-based incentive mechanism for mobile crowdsensing in industrial systems

B Gu, X Yang, Z Lin, W Hu, M Alazab… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is an appealing sensing paradigm that leverages the sensing
capabilities of smart devices and the inherent mobility of device owners to accomplish …

SDN-enabled energy-efficient routing optimization framework for industrial Internet of Things

F Naeem, M Tariq, HV Poor - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
The traditional Internet architecture relies on the best-effort principle, which is not suitable for
critical industrial Internet of Things (IIoT) applications such as healthcare systems with …

Learning-based intent-aware task offloading for air-ground integrated vehicular edge computing

H Liao, Z Zhou, W Kong, Y Chen… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Existing task offloading mechanisms are developed on some single and rigid quality of
service (QoS) performance metrics, which is widely apart from satisfying the true intent of a …