Deep learning for IoT big data and streaming analytics: A survey

M Mohammadi, A Al-Fuqaha, S Sorour… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect
and/or generate various sensory data over time for a wide range of fields and applications …

UAV-enabled spatial data sampling in large-scale IoT systems using denoising autoencoder neural network

T Yu, X Wang, A Shami - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
Internet of Things (IoT) technology has been pervasively applied to environmental
monitoring, due to the advantages of low cost and flexible deployment of IoT enabled …

Toward edge-assisted Internet of Things: From security and efficiency perspectives

J Ni, X Lin, XS Shen - IEEE Network, 2019 - ieeexplore.ieee.org
As we are moving toward the Internet of Things (IoT) era, the number of connected physical
devices is increasing at a rapid pace. Mobile edge computing is emerging to handle the …

Deep learning for Internet of Things data analytics

TJ Saleem, MA Chishti - Procedia computer science, 2019 - Elsevier
The recent technological innovations and brisk amalgamation of domains such as sensing
and actuating technologies, embedded systems, wireless communication, and data …

EdgeIoT: Mobile edge computing for the Internet of Things

X Sun, N Ansari - IEEE Communications Magazine, 2016 - ieeexplore.ieee.org
In order to overcome the scalability problem of the traditional Internet of Things architecture
(ie, data streams generated from distributed IoT devices are transmitted to the remote cloud …

Latency and reliability-aware workload assignment in IoT networks with mobile edge clouds

N Kherraf, S Sharafeddine, CM Assi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Along with the dramatic increase in the number of IoT devices, different IoT services with
heterogeneous QoS requirements are evolving with the aim of making the current society …

An intelligent end–edge–cloud architecture for visual IoT-assisted healthcare systems

Z Yang, B Liang, W Ji - IEEE internet of things journal, 2021 - ieeexplore.ieee.org
Recently, the Internet of Things (IoT) has played a powerful role in healthcare. However, the
rapid growth of healthcare devices has produced many heterogeneous data and most of …

Computational intelligence and deep learning for next-generation edge-enabled industrial IoT

S Tang, L Chen, K He, J Xia, L Fan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we investigate how to deploy computational intelligence and deep learning
(DL) in edge-enabled industrial IoT networks. In this system, the IoT devices can …

Machine learning and data analytics for the IoT

E Adi, A Anwar, Z Baig, S Zeadally - Neural computing and applications, 2020 - Springer
Abstract The Internet of Things (IoT) applications have grown in exorbitant numbers,
generating a large amount of data required for intelligent data processing. However, the …

Application domains, evaluation data sets, and research challenges of IoT: A systematic review

R Lohiya, A Thakkar - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
We are at the brink of Internet of Things (IoT) era where smart devices and other wireless
devices are redesigning our environment to make it more correlative, flexible, and …