Microgrid energy management and monitoring systems: A comprehensive review

AJ Albarakati, Y Boujoudar, M Azeroual… - Frontiers in Energy …, 2022 - frontiersin.org
Microgrid (MG) technologies offer users attractive characteristics such as enhanced power
quality, stability, sustainability, and environmentally friendly energy through a control and …

Multi-agent-based fault location and cyber-attack detection in distribution system

JA Albarakati, M Azeroual, Y Boujoudar, L EL Iysaouy… - Energies, 2022 - mdpi.com
Accurate fault location is challenging due to the distribution network's various branches,
complicated topology, and the increasing penetration of distributed energy resources …

A review on techno-economic study for supporting building with PV-Grid-connected systems under Saudi regulations

SJ Alharbi, AS Alaboodi - Energies, 2023 - mdpi.com
As the demand for electricity continues to grow in Saudi Arabia, finding ways to increase
power generation becomes increasingly important. However, conventional power …

Breast cancer prediction using fine needle aspiration features and upsampling with supervised machine learning

R Shafique, F Rustam, GS Choi, IT Díez, A Mahmood… - Cancers, 2023 - mdpi.com
Simple Summary Breast cancer is prevalent in women and the second leading cause of
death. Conventional breast cancer detection methods require several laboratory tests and …

Denial of service attack classification using machine learning with multi-features

F Rustam, MF Mushtaq, A Hamza, MS Farooq… - Electronics, 2022 - mdpi.com
The exploitation of internet networks through denial of services (DoS) attacks has
experienced a continuous surge over the past few years. Despite the development of …

Railway track fault detection using selective MFCC features from acoustic data

F Rustam, A Ishaq, MSA Hashmi, HUR Siddiqui… - Sensors, 2023 - mdpi.com
Railway track faults may lead to railway accidents and cause human and financial loss.
Spatial, temporal, and weather elements, and wear and tear, lead to ballast, loose nuts …

Image watermarking using least significant bit and canny edge detection

ZB Faheem, A Ishaq, F Rustam, I de la Torre Díez… - Sensors, 2023 - mdpi.com
With the advancement in information technology, digital data stealing and duplication have
become easier. Over a trillion bytes of data are generated and shared on social media …

[HTML][HTML] Cloud iaas optimization using machine vision at the iot edge and the grid sensing algorithm

N Faruqui, S Achar, S Racherla, V Dhanawat… - Sensors, 2024 - mdpi.com
Security grids consisting of High-Definition (HD) Internet of Things (IoT) cameras are gaining
popularity for organizational perimeter surveillance and security monitoring. Transmitting HD …

Trackez: an iot-based 3d-object tracking from 2d pixel matrix using mez and fsl algorithm

N Faruqui, MA Kabir, MA Yousuf… - IEEE …, 2023 - ieeexplore.ieee.org
The imaging devices sense light reflected from objects and reconstruct images using the 2D-
sensor matrix. It is a 2D Cartesian coordinate system where the depth dimension is absent …

A performance comparison of machine learning models for stock market prediction with novel investment strategy

AH Khan, A Shah, A Ali, R Shahid, ZU Zahid, MU Sharif… - Plos one, 2023 - journals.plos.org
Stock market forecasting is one of the most challenging problems in today's financial
markets. According to the efficient market hypothesis, it is almost impossible to predict the …