Multi-sensor filtering fusion meets censored measurements under a constrained network environment: advances, challenges and prospects
Multi-sensor filtering fusion (MSFF) is a fascinating subject in the realm of networked filtering
due to its advantage of effectively integrating sensor outputs from multiple sources. Owing to …
due to its advantage of effectively integrating sensor outputs from multiple sources. Owing to …
Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities
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 …
technologies, which promise to realize lean and just-in-time production through digitization …
Artificial intelligence for the metaverse: A survey
Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …
technologies have been created to bring users breathtaking experiences with more virtual …
Federated deep learning for cyber security in the internet of things: Concepts, applications, and experimental analysis
In this article, we present a comprehensive study with an experimental analysis of federated
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
deep learning approaches for cyber security in the Internet of Things (IoT) applications …
Digitalisation and innovation in the steel industry in Poland—Selected tools of ICT in an analysis of statistical data and a case study
B Gajdzik, R Wolniak - Energies, 2021 - mdpi.com
Digital technologies enable companies to build cyber-physical systems (CPS) in Industry
4.0. In the increasingly popular concept of Industry 4.0, an important research topic is the …
4.0. In the increasingly popular concept of Industry 4.0, an important research topic is the …
INTERLINK: A digital twin-assisted storage strategy for satellite-terrestrial networks
Recently, low-orbit satellite networks have gained lots of attention from the society due to
their wide coverage, low transmission latency, and storage and computing capacity …
their wide coverage, low transmission latency, and storage and computing capacity …
Financial cybercrime: A comprehensive survey of deep learning approaches to tackle the evolving financial crime landscape
Machine Learning and Deep Learning methods are widely adopted across financial
domains to support trading activities, mobile banking, payments, and making customer credit …
domains to support trading activities, mobile banking, payments, and making customer credit …
An intelligent cognitive computing based intrusion detection for industrial cyber-physical systems
Abstract Advanced developments of Industrial Cyber-Physical Systems (CPSs), comprising
Internet of Things (IoT) finds useful in several application areas such as transportation, smart …
Internet of Things (IoT) finds useful in several application areas such as transportation, smart …
Rapid detection of multi-QR codes based on multistage stepwise discrimination and a compressed mobilenet
R Chen, H Huang, Y Yu, J Ren, P Wang… - IEEE internet of …, 2023 - ieeexplore.ieee.org
Poor real-time performance in multi-QR codes detection has been a bottleneck in QR code
decoding based Internet-of-Things (IoT) systems. To tackle this issue, we propose in this …
decoding based Internet-of-Things (IoT) systems. To tackle this issue, we propose in this …
A Survey on Digital Twin for Industrial Internet of Things: Applications, Technologies and Tools
Digital twin for the industrial Internet of Things (DT-IIoT) creates a high-fidelity, fine-grained,
low-cost digital replica of the cyber-physical integrated Internet for industry. Powered by …
low-cost digital replica of the cyber-physical integrated Internet for industry. Powered by …