[HTML][HTML] Representing uncertainty and imprecision in machine learning: A survey on belief functions

Z Liu, S Letchmunan - Journal of King Saud University-Computer and …, 2024 - Elsevier
Uncertainty and imprecision accompany the world we live in and occur in almost every
event. How to better interpret and manage uncertainty and imprecision play a vital role in …

Classical dynamic consensus and opinion dynamics models: A survey of recent trends and methodologies

H Hassani, R Razavi-Far, M Saif, F Chiclana, O Krejcar… - Information …, 2022 - Elsevier
Consensus reaching is an iterative and dynamic process that supports group decision-
making models by guiding decision-makers towards modifying their opinions through a …

Resilient consensus control design for DC microgrids against false data injection attacks using a distributed bank of sliding mode observers

Y Barzegari, J Zarei, R Razavi-Far, M Saif, V Palade - Sensors, 2022 - mdpi.com
This paper investigates the problem of false data injection attack (FDIA) detection in
microgrids. The grid under study is a DC microgrid with distributed boost converters, where …

Deep Learning based Fault Detection in Power Transmission Lines

TS Kumar, RS Meena, PK Mani… - 2022 4th …, 2022 - ieeexplore.ieee.org
The transmission line is crucial in the electrical system. Transmission lines allow energy to
be transmitted As the world's demand for power has grown considerably in recent years …

A Knowledge-Based Cooperative Co-Evolutionary Algorithm for Non-Contact Voltage Measurement

H Li, C Ma, C Zhang, Q Chen, C He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Non-contact three-phase instantaneous voltage measurement is an emerging and
challenging topic in modern smart grids. Existing measurement methods can hardly obtain …

A large-scale group decision-making method based on sentiment analysis for the detection of cooperative group

JR Trillo, FJ Cabrerizo, IJ Pérez… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Group Decision-Making is a process by which a set of experts sort a set of alternatives.
When there are a large number of experts, the process is called a Large-Scale Group …

Secure and Efficient Group Decision-Making with Blockchain-Based Consensus and Trust Management

H Hassani, R Razavi-Far, M Saif… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
Trust-building is of paramount importance for managing and improving consensus in group
decision-making (GDM). This mechanism usually involves a trust propagation process for …

Learning From High-Dimensional Cyber-Physical Data Streams for Diagnosing Faults in Smart Grids

H Hassani, E Hallaji, R Razavi-Far, M Saif - arXiv preprint arXiv …, 2023 - arxiv.org
The performance of fault diagnosis systems is highly affected by data quality in cyber-
physical power systems. These systems generate massive amounts of data that overburden …

A Novel Fault Identification Technique for Transmission Lines based on Spectral Entropy and One-Dimensional CNN

A Swetapadma, T Shuvam… - 2023 Fifth International …, 2023 - ieeexplore.ieee.org
This work proposes a fault detection and classification method using spectral entropy and
IDCNN. The proposed method uses one end current signals for analyzing the fault and no …

A Protection Approach for Power System Fault Categorization

T Yadav, S Ali, G Kapoor - Sustainable Technology and Advanced …, 2022 - Springer
This paper introduces a protection approach for power system fault categorization. Making
use of 3-Φ currents of primary side bus, the protection system absolutely identifies faults in …