Ensemble trees learning based improved predictive maintenance using IIoT for turbofan engines

S Behera, A Choubey, CS Kanani, YS Patel… - Proceedings of the 34th …, 2019 - dl.acm.org
An unprecedented growth of the industrial sector, has led to an exponential increase in the
amount of industrial IoT (IIoT) data. This is sprouting increased interest in the data-driven …

Smarter Grid in the 5G Era: Integrating the Internet of Things With a Cyber-Physical System

MU Saleem, MR Usman, MA Yaqub, A Liotta… - IEEE …, 2024 - ieeexplore.ieee.org
The Smart Grid, a fusion of digital technologies and advanced communication methods,
enables the transformation of power distribution, transmission, and generation by …

An integrated edge and cloud computing platform for multi-industrial applications

T Ren, MT Zhou, CB Yv, F Shen, J Li… - 2021 IEEE 1st …, 2021 - ieeexplore.ieee.org
The development of information technology has brought changes in industrial technology.
Traditional industry is declining and intelligent industry is rising. Compared with the …

An Efficient Siamese Network and Transfer Learning-Based Predictive Maintenance System for More Sustainable Manufacturing

A Caliskan, C O'Brien, K Panduru, J Walsh, D Riordan - Sustainability, 2023 - mdpi.com
Legacy machinery poses a specific challenge when integrated into modern manufacturing
lines. While modern machinery provides swift methods of integration and inbuilt predictive …

[引用][C] Guest Editorial: Augmented Intelligence of Things for Smart Enterprise Systems

C Chakraborty, JMRS Tavares, S Wan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
ENTERPRISE management systems (EMS) and big data analytics are the most promising
computing platforms in artificial intelligence, information science, and statistics that use …

Smart power socket using Internet of Things

S Karanchery, N Rakesh - 2020 International Conference on …, 2020 - ieeexplore.ieee.org
The growing population brings with it a problem of scarce natural resources. As a
consequence, man-made resources such as electricity are not able to cope up and face the …

Knowledge-Based Modeling Approach: A Schematic Design of Artificial Intelligence of Things (AIoT) for Hydrogen Energy System

SR Joshua, S Park, K Kwon - 2024 IEEE 14th Annual …, 2024 - ieeexplore.ieee.org
The introduction of Artificial Intelligence of Things (AIoT) into hydrogen energy systems
causes a paradigm shift in the realm of clean and sustainable energy solutions. The …

[图书][B] Smart energy management

K Zhou, S Yang - 2022 - Springer
With the increasing penetration of new generation information technologies and new
concepts in energy system, such as Internet of Things (IoT), big data analytics, artificial …

[HTML][HTML] Green IoT and edge AI as key technological enablers for a sustainable digital transition towards a smart circular economy: An industry 5.0 use case

P Fraga-Lamas, SI Lopes, TM Fernández-Caramés - Sensors, 2021 - mdpi.com
Internet of Things (IoT) can help to pave the way to the circular economy and to a more
sustainable world by enabling the digitalization of many operations and processes, such as …

Frontiers in web-based energy management research: a scientometric data report

J Chen, J Zhang, H Wei, J Dai - Frontiers in Energy Research, 2023 - frontiersin.org
The concept of Management Information Systems (MIS) dates back to the early 1930s when
Bird emphasized the role of decision-making in organizational management. In 1985 …