A data-driven auto-CNN-LSTM prediction model for lithium-ion battery remaining useful life
Integration of each aspect of the manufacturing process with the new generation of
information technology such as the Internet of Things, big data, and cloud computing makes …
information technology such as the Internet of Things, big data, and cloud computing makes …
Graph neural networks for anomaly detection in industrial internet of things
The Industrial Internet of Things (IIoT) plays an important role in digital transformation of
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …
traditional industries toward Industry 4.0. By connecting sensors, instruments, and other …
Cloud-edge orchestration for the Internet of Things: Architecture and AI-powered data processing
Y Wu - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) has been deeply penetrated into a wide range of important and
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …
critical sectors, including smart city, water, transportation, manufacturing, and smart factory …
Blockchain-empowered data-driven networks: A survey and outlook
The paths leading to future networks are pointing towards a data-driven paradigm to better
cater to the explosive growth of mobile services as well as the increasing heterogeneity of …
cater to the explosive growth of mobile services as well as the increasing heterogeneity of …
[HTML][HTML] Green Industrial Internet of Things from a smart industry perspectives
The goal of industrial revolutions is not only to improve and respond directly to the needs of
industry in a productive side fact, but also to improve the standard of living of society and …
industry in a productive side fact, but also to improve the standard of living of society and …
Integrating digital twin and advanced intelligent technologies to realize the metaverse
The advances in Artificial Intelligence (AI) have led to technological advancements in a
plethora of domains. Healthcare, education, and smart city services are now enriched with AI …
plethora of domains. Healthcare, education, and smart city services are now enriched with AI …
Degradation state partition and compound fault diagnosis of rolling bearing based on personalized multilabel learning
X Ma, Y Hu, M Wang, F Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The prognostic and health management (PHM) of rolling bearings has been a popular
research area. Since bearing fault is inevitable during degradation, how to improve the PHM …
research area. Since bearing fault is inevitable during degradation, how to improve the PHM …
Green networking: challenges, opportunities, and future trends for sustainable development
This research discusses Green Networking, an important concept in reducing the
environmental impact of information and communication technology in the digital era. In this …
environmental impact of information and communication technology in the digital era. In this …
Towards a digital twin model for building energy management: case of Morocco
During successive industrial revolutions, the objective has not only been for industry to
improve and satisfy its direct needs, it has also been to improve society's standard of living …
improve and satisfy its direct needs, it has also been to improve society's standard of living …
Improving energy efficiency and qos of lpwans for iot using q-learning based data routing
Recent proliferation of Internet of Things (IoT) demands large scale connectivity among
smart IoT devices over a vast geographical area. However, limited radio range and lack of …
smart IoT devices over a vast geographical area. However, limited radio range and lack of …