[HTML][HTML] Distributed energy systems: A review of classification, technologies, applications, and policies
The sustainable energy transition taking place in the 21st century requires a major
revamping of the energy sector. Improvements are required not only in terms of the …
revamping of the energy sector. Improvements are required not only in terms of the …
The artificial intelligence technologies in Industry 4.0: A taxonomy, approaches, and future directions
Industry 4.0 transforms the manufacturing sector with dynamic, networked, complex
industrial environments. These environments generate vast amounts of data and require …
industrial environments. These environments generate vast amounts of data and require …
Review and empirical analysis of sparrow search algorithm
Y Yue, L Cao, D Lu, Z Hu, M Xu, S Wang, B Li… - Artificial Intelligence …, 2023 - Springer
In recent years, swarm intelligence algorithms have received extensive attention and
research. Swarm intelligence algorithms are a biological heuristic method, which is widely …
research. Swarm intelligence algorithms are a biological heuristic method, which is widely …
Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties
The distribution of the power transformers at a far distance from the electrical plants
represents the main challenge against the diagnosis of the transformer status. This paper …
represents the main challenge against the diagnosis of the transformer status. This paper …
Artificial intelligence-based cyber security in the context of industry 4.0—a survey
AJG De Azambuja, C Plesker, K Schützer, R Anderl… - Electronics, 2023 - mdpi.com
The increase in cyber-attacks impacts the performance of organizations in the industrial
sector, exploiting the vulnerabilities of networked machines. The increasing digitization and …
sector, exploiting the vulnerabilities of networked machines. The increasing digitization and …
Experimental setup for online fault diagnosis of induction machines via promising IoT and machine learning: Towards industry 4.0 empowerment
In recent years, the internet of things (IoT) represents the main core of Industry 4.0 for cyber-
physic systems (CPS) in order to improve the industrial environment. Accordingly, the …
physic systems (CPS) in order to improve the industrial environment. Accordingly, the …
Reliable deep learning and IoT-based monitoring system for secure computer numerical control machines against cyber-attacks with experimental verification
This paper introduces a new intelligent integration between an IoT platform and deep
learning neural network (DNN) algorithm for the online monitoring of computer numerical …
learning neural network (DNN) algorithm for the online monitoring of computer numerical …
Machine learning and IoT-based approach for tool condition monitoring: A review and future prospects
Abstract In the “Industry 4.0” era, autonomous and self-adaptive industrial machining attracts
significant attention in professional manufacturing. This trend originates from the rising …
significant attention in professional manufacturing. This trend originates from the rising …
Novel control strategy for enhancing microgrid operation connected to photovoltaic generation and energy storage systems
Recently, the penetration of energy storage systems and photovoltaics has been
significantly expanded worldwide. In this regard, this paper presents the enhanced …
significantly expanded worldwide. In this regard, this paper presents the enhanced …
IoT Security Based on Machine Learning
RK Vanakamamidi, L Ramalingam… - … For Smart Nation …, 2023 - ieeexplore.ieee.org
The protection of user privacy and mitigation of threats like spoofing, DoS, jamming, and
eavesdropping are essential for the Internets of Things (IoT) to fulfill its promise of bringing …
eavesdropping are essential for the Internets of Things (IoT) to fulfill its promise of bringing …