[HTML][HTML] Distributed energy systems: A review of classification, technologies, applications, and policies

TB Nadeem, M Siddiqui, M Khalid, M Asif - Energy Strategy Reviews, 2023 - Elsevier
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 …

The artificial intelligence technologies in Industry 4.0: A taxonomy, approaches, and future directions

FA Alenizi, S Abbasi, AH Mohammed… - Computers & Industrial …, 2023 - Elsevier
Industry 4.0 transforms the manufacturing sector with dynamic, networked, complex
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 …

Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties

M Elsisi, MQ Tran, K Mahmoud, DEA Mansour… - Measurement, 2022 - Elsevier
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 …

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 …

Experimental setup for online fault diagnosis of induction machines via promising IoT and machine learning: Towards industry 4.0 empowerment

MQ Tran, M Elsisi, K Mahmoud, MK Liu… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

Reliable deep learning and IoT-based monitoring system for secure computer numerical control machines against cyber-attacks with experimental verification

MQ Tran, M Elsisi, MK Liu, VQ Vu, K Mahmoud… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

Machine learning and IoT-based approach for tool condition monitoring: A review and future prospects

MQ Tran, HP Doan, VQ Vu, LT Vu - Measurement, 2023 - Elsevier
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 …

Novel control strategy for enhancing microgrid operation connected to photovoltaic generation and energy storage systems

D Emara, M Ezzat, AY Abdelaziz, K Mahmoud… - Electronics, 2021 - mdpi.com
Recently, the penetration of energy storage systems and photovoltaics has been
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 …