Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities

Z Jan, F Ahamed, W Mayer, N Patel… - Expert Systems with …, 2023 - Elsevier
Many industry sectors have been pursuing the adoption of Industry 4.0 (I4. 0) ideas and
technologies, which promise to realize lean and just-in-time production through digitization …

6G wireless communications networks: A comprehensive survey

M Alsabah, MA Naser, BM Mahmmod… - Ieee …, 2021 - ieeexplore.ieee.org
The commercial fifth-generation (5G) wireless communications networks have already been
deployed with the aim of providing high data rates. However, the rapid growth in the number …

[PDF][PDF] 6G 移动通信网络: 愿景, 挑战与关键技术

赵亚军, 郁光辉, 徐汉青 - 中国科学: 信息科学, 2019 - arxiv.org
摘要随着5G 网络开启规模商业部署, 越来越多的研究机构及相关人员开始对下一代移动通信
系统进行研究. 本文将探讨十年后(2030 年~) 的6G 概念. 本文首先用四个关键词概括未来6G …

CorrAUC: a malicious bot-IoT traffic detection method in IoT network using machine-learning techniques

M Shafiq, Z Tian, AK Bashir, X Du… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Identification of anomaly and malicious traffic in the Internet-of-Things (IoT) network is
essential for the IoT security to keep eyes and block unwanted traffic flows in the IoT …

A review on deep learning techniques for IoT data

K Lakshmanna, R Kaluri, N Gundluru, ZS Alzamil… - Electronics, 2022 - mdpi.com
Continuous growth in software, hardware and internet technology has enabled the growth of
internet-based sensor tools that provide physical world observations and data …

Triboelectric nanogenerator based self-powered sensor for artificial intelligence

Y Zhou, M Shen, X Cui, Y Shao, L Li, Y Zhang - Nano Energy, 2021 - Elsevier
Triboelectric nanogenerator based sensor has excellent material compatibility, low cost, and
flexibility, which is a unique candidate technology for artificial intelligence. Triboelectric …

Machine learning based solutions for security of Internet of Things (IoT): A survey

SM Tahsien, H Karimipour, P Spachos - Journal of Network and Computer …, 2020 - Elsevier
Over the last decade, IoT platforms have been developed into a global giant that grabs every
aspect of our daily lives by advancing human life with its unaccountable smart services …

Machine learning in IoT security: Current solutions and future challenges

F Hussain, R Hussain, SA Hassan… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The future Internet of Things (IoT) will have a deep economical, commercial and social
impact on our lives. The participating nodes in IoT networks are usually resource …

Q-learning algorithms: A comprehensive classification and applications

B Jang, M Kim, G Harerimana, JW Kim - IEEE access, 2019 - ieeexplore.ieee.org
Q-learning is arguably one of the most applied representative reinforcement learning
approaches and one of the off-policy strategies. Since the emergence of Q-learning, many …

6G enabled smart infrastructure for sustainable society: Opportunities, challenges, and research roadmap

AL Imoize, O Adedeji, N Tandiya, S Shetty - Sensors, 2021 - mdpi.com
The 5G wireless communication network is currently faced with the challenge of limited data
speed exacerbated by the proliferation of billions of data-intensive applications. To address …