Cybersecurity in Cyber–Physical Power Systems
LF Ribas Monteiro, YR Rodrigues… - Energies, 2023 - mdpi.com
The current energy transition combined with the modernization of power systems has
provided meaningful transformations in the transmission, distribution, operation, planning …
provided meaningful transformations in the transmission, distribution, operation, planning …
Privacy and Security in Artificial Intelligence and Machine Learning Systems for Renewable Energy Big Data
S Katamoura, MS Aksoy… - 2024 21st Learning and …, 2024 - ieeexplore.ieee.org
This paper explores the critical intersection of security and privacy in advanced artificial
intelligence (AI) and machine learning (ML) with Internet of Things (IoT) systems and edge …
intelligence (AI) and machine learning (ML) with Internet of Things (IoT) systems and edge …
Anomaly Detection in a Smart Industrial Machinery Plant Using IoT and Machine Learning
In an increasingly technology-driven world, the security of Internet-of-Things systems has
become a top priority. This article presents a study on the implementation of security …
become a top priority. This article presents a study on the implementation of security …
End to end secure data exchange in value chains with dynamic policy updates
Data exchange among value chain partners offers a competitive advantage, but it also
exposes sensitive data to increasing risks of compromise. To protect this data, securing it …
exposes sensitive data to increasing risks of compromise. To protect this data, securing it …
A compact IIoT system for remote monitoring and control of a micro hydropower plant
A Albița, D Selișteanu - Sensors, 2023 - mdpi.com
Remote monitoring and operation evaluation applications for industrial environments are
modern and easy means of exploiting the provided resources of specific systems. Targeted …
modern and easy means of exploiting the provided resources of specific systems. Targeted …
CEESys: a cloud-edge-end system for data acquisition, transmission and processing based on HiSilicon and OpenHarmony
H Tian, K Ye - International Conference on Metaverse, 2023 - Springer
In a typical industry environment, temperature, humidity and light intensity are the key
environmental parameters. Cloud-Edge-End architecture is perfect to process IoT data …
environmental parameters. Cloud-Edge-End architecture is perfect to process IoT data …
Predictive Maintenance in Photovoltaic Systems Using Ensemble ML Empirical Analysis
This paper aims to enhance the effectiveness and sustainability of photovoltaic (PV) systems
by employing ensemble machine learning empirical analysis (EMLEA) to predict regular …
by employing ensemble machine learning empirical analysis (EMLEA) to predict regular …
Integration of Artificial Intelligence and Machine Learning for Internet of Things
The fast growth of the Internet of Things (IoT) has created a large plethora of data, driving the
need for intelligent data analysis and decision-making. The rapid growth of IoT tools has …
need for intelligent data analysis and decision-making. The rapid growth of IoT tools has …
[PDF][PDF] Design of industrial equipment data acquisition system based on ZYNQ
X Zhang, Q Xing, X Yu, S Pan - Applied Mathematics and …, 2023 - intapi.sciendo.com
In this paper, an industrial equipment data acquisition system based on a ZYNQ chip is
constructed using an AD7607 data acquisition module containing a symmetric layout. Next …
constructed using an AD7607 data acquisition module containing a symmetric layout. Next …
[PDF][PDF] Enhancing Fraud Detection in Financial transaction Through Big Data Analytics
N Fatima, A Aladwan - 2023 - assignyourassignments.com
The steadily developing landscape of financial transactions has led to a developing
concern: fighting extortion. Utilizing the force of big data analytics, this exposition digs into …
concern: fighting extortion. Utilizing the force of big data analytics, this exposition digs into …