Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications

RA Khalil, N Saeed, M Masood, YM Fard… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …

[HTML][HTML] Deep learning for the industrial internet of things (iiot): A comprehensive survey of techniques, implementation frameworks, potential applications, and future …

S Latif, M Driss, W Boulila, ZE Huma, SS Jamal… - Sensors, 2021 - mdpi.com
The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast
communication protocols, and efficient cybersecurity mechanisms to improve industrial …

Machine learning and deep learning algorithms on the Industrial Internet of Things (IIoT)

P Ambika - Advances in computers, 2020 - Elsevier
Deep transformation and human progress is a new industrial revolution that makes
“Automation of Everything.” It connects all digital interfaces, data analysis and control of the …

DeepThink IoT: the strength of deep learning in internet of things

D Thakur, JK Saini, S Srinivasan - Artificial Intelligence Review, 2023 - Springer
Abstract The integration of Deep Learning (DL) and the Internet of Things (IoT) has
revolutionized technology in the twenty-first century, enabling humans and machines to …

A survey on deep learning empowered IoT applications

X Ma, T Yao, M Hu, Y Dong, W Liu, F Wang… - IEEE Access, 2019 - ieeexplore.ieee.org
The Internet of Things (IoT) is widely regarded as a key component of the Internet of the
future and thereby has drawn significant interests in recent years. IoT consists of billions of …

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 …

Deep learning for edge computing applications: A state-of-the-art survey

F Wang, M Zhang, X Wang, X Ma, J Liu - IEEE Access, 2020 - ieeexplore.ieee.org
With the booming development of Internet-of-Things (IoT) and communication technologies
such as 5G, our future world is envisioned as an interconnected entity where billions of …

[HTML][HTML] Machine learning-enabled internet of things (iot): Data, applications, and industry perspective

J Bzai, F Alam, A Dhafer, M Bojović, SM Altowaijri… - Electronics, 2022 - mdpi.com
Machine learning (ML) allows the Internet of Things (IoT) to gain hidden insights from the
treasure trove of sensed data and be truly ubiquitous without explicitly looking for knowledge …

Toward edge-based deep learning in industrial Internet of Things

F Liang, W Yu, X Liu, D Griffith… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
As a typical application of the Internet of Things (IoT), the Industrial IoT (IIoT) connects all the
related IoT sensing and actuating devices ubiquitously so that the monitoring and control of …

Toward deep transfer learning in industrial internet of things

X Liu, W Yu, F Liang, D Griffith… - IEEE Internet of things …, 2021 - ieeexplore.ieee.org
Machine learning techniques have been widely adopted to assist in data analysis in a
variety of Internet of Things (IoT) systems. To enable flexible use of trained learning models …