Industrial internet of things: Recent advances, enabling technologies and open challenges
The adoption of emerging technological trends and applications of the Internet of Things
(IoT) in the industrial systems is leading towards the development of Industrial IoT (IIoT). IIoT …
(IoT) in the industrial systems is leading towards the development of Industrial IoT (IIoT). IIoT …
Blockchain security: A survey of techniques and research directions
Blockchain, an emerging paradigm of secure and shareable computing, is a systematic
integration of 1) chain structure for data verification and storage, 2) distributed consensus …
integration of 1) chain structure for data verification and storage, 2) distributed consensus …
Deploying fog computing in industrial internet of things and industry 4.0
Rapid technological advances have revolutionized the industrial sector. These advances
range from automation of industrial processes to autonomous industrial processes, where a …
range from automation of industrial processes to autonomous industrial processes, where a …
Industrial communication systems and their future challenges: Next-generation Ethernet, IIoT, and 5G
Industrial communication systems represent one of the most important innovations of the last
decades in the context of factory and process automation systems. They are networks …
decades in the context of factory and process automation systems. They are networks …
ManuChain II: Blockchained smart contract system as the digital twin of decentralized autonomous manufacturing toward resilience in industry 5.0
In Industry 5.0 vision, machines are empowered with the interaction capability to
autonomously make local decisions and coordinate with each other as well as humans …
autonomously make local decisions and coordinate with each other as well as humans …
ManuChain: Combining permissioned blockchain with a holistic optimization model as bi-level intelligence for smart manufacturing
The growth of individualized product demands drives high flexibility of manufacturing
processes, which requires large-scale deployment of Industrial Internet of Things (IIoT) …
processes, which requires large-scale deployment of Industrial Internet of Things (IIoT) …
Deep learning in big data analytics: a comparative study
Deep learning methods are extensively applied to various fields of science and engineering
such as speech recognition, image classifications, and learning methods in language …
such as speech recognition, image classifications, and learning methods in language …
The individual identification method of wireless device based on dimensionality reduction and machine learning
The access security of wireless devices is a serious challenge in present wireless network
security. Radio frequency (RF) fingerprint recognition technology as an important non …
security. Radio frequency (RF) fingerprint recognition technology as an important non …
Behavioral modeling for mental health using machine learning algorithms
M Srividya, S Mohanavalli, N Bhalaji - Journal of medical systems, 2018 - Springer
Mental health is an indicator of emotional, psychological and social well-being of an
individual. It determines how an individual thinks, feels and handle situations. Positive …
individual. It determines how an individual thinks, feels and handle situations. Positive …
Cryptographic solutions for industrial Internet-of-Things: Research challenges and opportunities
KKR Choo, S Gritzalis, JH Park - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) is an emerging trend, including in nontraditional
technological sector (eg, oil and gas industry). There are, however, a number of research …
technological sector (eg, oil and gas industry). There are, however, a number of research …