Blockchain-Enabled Lightweight Fine-Grained Searchable Knowledge Sharing for Intelligent IoT
J Wang, X Lin, Y Wu, J Wu - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the rapid development of the Internet of Things (IoT), millions of IoT devices are
constantly generating massive amounts of data. The development of artificial intelligence …
constantly generating massive amounts of data. The development of artificial intelligence …
Addressing uncertainties within active learning for industrial IoT
D Agarwal, P Srivastava… - 2021 IEEE 7th World …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) is a key enabler of Industry 4.0 with networked devices providing
sensor data to help manage, automate, streamline and optimize assets, operations and …
sensor data to help manage, automate, streamline and optimize assets, operations and …
Unveiling the impact of digital transformation: a study on key disciplines, technological unemployment, and neo-Luddism in the textile industry
Purpose The primary aim of this study is to identify and analyze the key digital transformation
areas and determine their impact on technological unemployment in the textile sector. In …
areas and determine their impact on technological unemployment in the textile sector. In …
Probabilistic time series forecasting for adaptive monitoring in edge computing environments
With increasingly more computation being shifted to the edge of the network, monitoring of
critical infrastructures, such as intermediate processing nodes in autonomous driving, is …
critical infrastructures, such as intermediate processing nodes in autonomous driving, is …
Deep anomaly detection in distributed software systems
S Nedelkoski - 2021 - depositonce.tu-berlin.de
Artificial Intelligence for IT Operations (AIOps) combines big data and machine learning to
replace a broad range of IT Operations tasks. The task of anomaly detection has a prominent …
replace a broad range of IT Operations tasks. The task of anomaly detection has a prominent …