Real-time solution of PSS parameter tuning by GA-ANFIS in stabilizing the electrical power system

M Shafiullah, MIH Pathan, MS Shahriar, A Ali… - Arabian Journal for …, 2023 - Springer
The power system industry is one of the pioneers in implementing machine learning (ML)
methods which have acquired a lot of attention across various facets of contemporary life …

Deep Learning-Inspired IoT-IDS Mechanism for Edge Computing Environments

A Aldaej, TA Ahanger, I Ullah - Sensors, 2023 - mdpi.com
The Internet of Things (IoT) technology has seen substantial research in Deep Learning (DL)
techniques to detect cyberattacks. Critical Infrastructures (CIs) must be able to quickly detect …

A comprehensive node-based botnet detection framework for IoT network

A Aldaej, TA Ahanger, M Atiquzzaman, I Ullah - Cluster Computing, 2024 - Springer
The number of cyber-attacks targeting the Internet of Things (IoT) has elevated in the last
decade. This is due to the inherent security vulnerabilities inside IoT endpoints, as well as …

Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification

MUI Khan, MIH Pathan, MM Rahman, MM Islam… - IEEE …, 2024 - ieeexplore.ieee.org
Electric vehicles (EVs) are commonly recognized as environmentally friendly modes of
transportation. They function by converting electrical energy into mechanical energy using …

[HTML][HTML] Power system stability enhancement through optimal PSS design

MR Islam, MS Azam, MS Hossen, MS Islam… - e-Prime-Advances in …, 2024 - Elsevier
Low-frequency oscillations (LFO) are generated in interconnected electric networks because
of the weak tie lines between the parts of the networks. Such oscillations have been a …

Investigating the Feasibility of Using Machine Learning for Real-Time Data Analysis

B Latha, VR Ghule, G Geetha, S Singh… - … on Paradigm Shift in …, 2023 - ieeexplore.ieee.org
This paper seeks to determine the feasibility of the usage of device learning for actual-time
facts evaluation. System gaining knowledge of can be used to research massive datasets …