Influence of EV Charging Stations on the Performances of Three-Phase Distribution Transformers in Residential Grids

Hiba N. Al-Kaoaz, Omar Sh. Al-Yozbaky

Electric vehicle charging stations significantly impact the performance of three-phase (11/0.4 kV) distribution transformers, as unbalanced and variable loads lead to higher temperatures and...

DOI: 10.33899/arej.v31i3.64951

Feature-Driven Electrical Load Prediction Using Interpretable Machine Learning Models and Meta-Ensemble Learning: Evidence from Mosul’s 132 kV Grid Energy

Anas Thamer Mustafa, Omar Sharaf Al-Deen Al-Yozbaky

Accurate forecasting of electrical load plays a critical role in enhancing the efficiency, reliability, and operational planning of power distribution systems—particularly in regions facing...

DOI: 10.33899/arej.v31i3.64954

Evaluating the Mechanical and Durability Performance of Carbon-Sulfur Mix Asphalt Modified with SBS and SZ additives

A. I. Al-Hadidy, Amani A. Al-Ttayiy

The rising quantities of the blowdown (carbon-sulfur) hydrocarbon waste generated in the production of sulfur posed challenges to the environment in Iraq. This research paper explored the...

DOI: 10.33899/arej.v31i3.64952

Stacked Ensemble Learning for Effective Flow-Based Intrusion Detection System

Omar Abdulmunem Ibrahim Aldabbagh

As developing cyber threats complexity and sophistication, traditional Network Intrusion Detection Systems (NIDS) face difficulties in detecting attacks within an acceptable time. For these...

DOI: 10.33899/arej.v31i3.64955

Machine Learning Multi-Class Intrusion DetectionSystem Using Embedded Feature Selection and Multi-Level Hierarchy Classification

Tarfa Hamed, Dr. Kremer

In recent years, network security has attracted significant research attention due to the growing frequency of attacks on computer networks. Among existing solutions, “Network Intrusion...

DOI: 10.33899/k610ap05

Lightweight Quantized CNN for Real-Time Histopathological Diagnosis on Edge Devices in Digital Pathology

Sohaib R. Awad, Amer T. Ali, Amar I. Daood, Ahmed M. Alkababji

There is a goal to develop a fundamental deep learning system for histopathological image categorization, which operates in real-time while keeping a lightweight design to facilitate better...

DOI: 10.33899/arej.v31i3.64953

LR-Aided Linear Detection Combined with Adaptive QRD-M in MIMO-OFDM Systems

Mar Mar Lwin, Mohd Fadzli Mohd Salleh, Salah A. Alabady

This paper proposes an LR-aided adaptive QRD-M detector for complexity reduction in MIMO-OFDM systems. The proposed approach integrates lattice-reduction preprocessing with an adaptive candidate...

DOI: 10.33899/arej.v31i3.61893