Anomaly detection for IoT time-series data: A survey
Anomaly detection is a problem with applications for a wide variety of domains; it involves
the identification of novel or unexpected observations or sequences within the data being …
the identification of novel or unexpected observations or sequences within the data being …
Digital twin: Enabling technologies, challenges and open research
Digital Twin technology is an emerging concept that has become the centre of attention for
industry and, in more recent years, academia. The advancements in industry 4.0 concepts …
industry and, in more recent years, academia. The advancements in industry 4.0 concepts …
Machine learning based solutions for security of Internet of Things (IoT): A survey
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 …
aspect of our daily lives by advancing human life with its unaccountable smart services …
[HTML][HTML] Scanning the industry 4.0: A literature review on technologies for manufacturing systems
V Alcácer, V Cruz-Machado - Engineering science and technology, an …, 2019 - Elsevier
Industry 4.0 leads to the digitalization era. Everything is digital; business models,
environments, production systems, machines, operators, products and services. It's all …
environments, production systems, machines, operators, products and services. It's all …
A survey of machine and deep learning methods for internet of things (IoT) security
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest developing fields in …
one another with minimal human intervention. IoT is one of the fastest developing fields in …
Application of machine learning in wireless networks: Key techniques and open issues
As a key technique for enabling artificial intelligence, machine learning (ML) is capable of
solving complex problems without explicit programming. Motivated by its successful …
solving complex problems without explicit programming. Motivated by its successful …
Unification of Blockchain and Internet of Things (BIoT): requirements, working model, challenges and future directions
Abstract The Internet of Things (IoTs) enables coupling of digital and physical objects using
worthy communication technologies and introduces a future vision where computing …
worthy communication technologies and introduces a future vision where computing …
Big data analytics for 6G-enabled massive internet of things
Z Lv, R Lou, J Li, AK Singh… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The purposes are to enable large-scale Internet of Things (IoT) devices to analyze data
more effectively and provide high-efficiency, low-energy, and wide-coverage technical …
more effectively and provide high-efficiency, low-energy, and wide-coverage technical …
Deep learning in the industrial internet of things: Potentials, challenges, and emerging applications
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 …
interconnected devices, allowing the use of various smart applications. The enormous …
Toward massive machine type communications in ultra-dense cellular IoT networks: Current issues and machine learning-assisted solutions
The ever-increasing number of resource-constrained machine-type communication (MTC)
devices is leading to the critical challenge of fulfilling diverse communication requirements …
devices is leading to the critical challenge of fulfilling diverse communication requirements …