Federated learning for internet of things: A comprehensive survey

DC Nguyen, M Ding, PN Pathirana… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of
intelligent services and applications empowered by artificial intelligence (AI). Traditionally …

Social physics

M Jusup, P Holme, K Kanazawa, M Takayasu, I Romić… - Physics Reports, 2022 - Elsevier
Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …

Predictive maintenance in the Industry 4.0: A systematic literature review

T Zonta, CA Da Costa, R da Rosa Righi… - Computers & Industrial …, 2020 - Elsevier
Industry 4.0 is collaborating directly for the technological revolution. Both machines and
managers are daily confronted with decision making involving a massive input of data and …

Cellular, wide-area, and non-terrestrial IoT: A survey on 5G advances and the road toward 6G

M Vaezi, A Azari, SR Khosravirad… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
The next wave of wireless technologies is proliferating in connecting things among
themselves as well as to humans. In the era of the Internet of Things (IoT), billions of …

Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things

J Zhang, D Tao - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
In the Internet-of-Things (IoT) era, billions of sensors and devices collect and process data
from the environment, transmit them to cloud centers, and receive feedback via the Internet …

A survey on blockchain for big data: Approaches, opportunities, and future directions

N Deepa, QV Pham, DC Nguyen… - Future Generation …, 2022 - Elsevier
Big data has generated strong interest in various scientific and engineering domains over
the last few years. Despite many advantages and applications, there are many challenges in …

Sensor-based and vision-based human activity recognition: A comprehensive survey

LM Dang, K Min, H Wang, MJ Piran, CH Lee, H Moon - Pattern Recognition, 2020 - Elsevier
Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …

Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time

S Ayvaz, K Alpay - Expert Systems with Applications, 2021 - Elsevier
In this study, a data driven predictive maintenance system was developed for production
lines in manufacturing. By utilizing the data generated from IoT sensors in real-time, the …

Deep learning enabled semantic communication systems

H Xie, Z Qin, GY Li, BH Juang - IEEE Transactions on Signal …, 2021 - ieeexplore.ieee.org
Recently, deep learned enabled end-to-end communication systems have been developed
to merge all physical layer blocks in the traditional communication systems, which make joint …

Progress in wearable electronics/photonics—Moving toward the era of artificial intelligence and internet of things

Q Shi, B Dong, T He, Z Sun, J Zhu, Z Zhang, C Lee - InfoMat, 2020 - Wiley Online Library
The past few years have witnessed the significant impacts of wearable electronics/photonics
on various aspects of our daily life, for example, healthcare monitoring and treatment …