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Diyala Journal of Engineering Sciences
Scopus
ISSN 1999-8716 · University of Diyala · 906 artikel di indeks
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Artikel Jurnal
Optimization of PI Controller for a Photovoltaic Virtual Synchronous Generator System with Whale Optimization Algorithm
Traditional power systems rely on large synchronous generators (SGs), where the mechanical rotor’s inertia naturally stabilizes grid frequency during demand fluctuations. However, the rapid growth of inverter-based renewable energy sources (RES) has transformed modern power systems. Because the…
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Designing Efficient Hybrid Photovoltaic and Battery Energy Storage Systems with Optimal Controlling and Management
A novel control strategy was introduced for enhancing the performance of photovoltaic (PV) systems integrated into the power grid. The proposed method applied an Improved Grey Wolf Optimizer (IGWO) directly for Maximum Power Point Tracking (MPPT) in PV systems. The main goal is to maximize the…
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Improving the AVR Performance of Iraqi Hamrin Hydro Station Using PID Controller Optimized by GWO and WOA
Power grid reliability and voltage stability are important factors for the stable operation of hydropower plants. Automatic Voltage Regulators (AVRs) contribute to maintaining stability by controlling generator excitation and terminal voltage. Achieving the best possible AVR performance is…
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Artikel Jurnal
Influence of Interpass Welding Temperature on the Microstructure and Mechanical Properties of Super Duplex Stainless Steel AISI 2507
This study investigates the combined influence of interpass temperature and cooling rate on the microstructure and mechanical properties of 10-mmthick AISI 2507 superduplex stainless steel welded by multi-pass gas tungsten arc welding (GTAW) using ER2209 filler metal. Welded joints were produced…
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Artikel Jurnal
Student Sentiment Analysis with Co-Curricular Activities and Placement Using Logistic Graph Convolution Neural Network
Student feedback sentiment analysis for co-curricular activities, employing deep learning, ascertains and classifies job placements based on students' feedback. Though several works have focused on student sentiment analysis, there remains room to analyze job placement and the effects of…
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Artikel Jurnal
Hybrid Metaheuristic Optimization with Stacked Sparse Autoencoder for Enhanced Chronic Kidney Disease Detection and Classification
Chronic Kidney Disease (CKD) is a progressive renal disease that needs to be accurately and early diagnosed to eliminate irreversible damage to the kidney. Nevertheless, traditional methods of diagnosis might not be particularly effective at capturing the complex nonlinear patterns between clinical…
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Artikel Jurnal
Fractional-Order Direct Power Control of a Doubly Fed Induction Generator-Based Wind Turbine Using Rooted Tree Optimization
This paper presents a novel control strategy aimed at improving power quality and operational stability in a multi-rotor wind energy conversion system based on a Doubly Fed Induction Generator (DFIG). Conventional Direct Power Control (DPC) techniques often suffer from significant active and…
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Artikel Jurnal
Brain Activity Classification using Retentive Networks with Explainable AI
Harmful brain activity can significantly impact an individual’s life, leading to debilitating seizures, epileptic episodes, and long-term cognitive impairments that affect daily functioning and overall quality of life. These abnormalities can be effectively detected using electroencephalography…
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Progressive Resolution Training with Attention-Enhanced Ensemble Learning for Automated Recognition of Sugarcane Leaf Diseases
Sugarcane (Saccharum officinarum) is one of the most economically important crops in the world. However, outbreaks of leaf diseases cause extensive annual yield losses and threaten sugarcane agricultural productivity. Therefore, early and accurate disease detection is vital for effective crop…
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Artikel Jurnal
Design and Validation of Portable Low-Cost ESP32-C6 Based Data Acquisition for Real-Time Power Monitoring and Experimental Data Collection
This paper presents a portable, customized low-cost data acquisition system using the ESP32-C6 microcontroller and the INA219 sensor. The use of traditional multi-meters is time-consuming and subject to human error, especially for experiments with longer durations, which require continuous logging…
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Artikel Jurnal
Optimizing Plate Adhesion: A Model Using Digital Image Correlation and Finite Element Analysis
The durability and strength of single-lap adhesive joints are influenced by numerous factors. Among which are stress and strain concentrations at the overlap edges. This research investigates a method for improving these joints through a proposed geometric design incorporating a circular overlap…
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Artikel Jurnal
Analytical Modeling of Transient Thermal Profiles in Rotary Friction Welding of Similar and Dissimilar Materials: 316L Stainless Steel and A60 Carbon Steel
Rotary friction welding (RFW) is a solid-state joining process widely used for cylindrical components; however, accurate prediction of transient temperature fields remains challenging due to complex frictional heating, material property mismatch, and convective losses. This study develops an…
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Artikel Jurnal
Numerical model of the steady-state condenser and effect of pressure drop correlations on refrigerant physical parameters
Air-cooled condensers are an important part of modern refrigeration systems because they affect how well the system works and how much energy it uses. This study develops an integrated numerical model to simulate the behaviour of an air-cooled condenser using Fortran and RefProp 8.0 to evaluate the…
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Artikel Jurnal
Secure Semantic Retrieval over Encrypted Cloud Data: A Dual-Index System with Lightweight Fuzzy Encryption and BERT-Based Semantic Indexing
Cloud storage is widely used for store a personalized and Sensitive information. Cloud usually stores the files in encrypted mode. To search a user specific file among the encrypted files is difficult. Traditional keyword search may be fails when users phrase differently. Typos and vocabulary…
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Artikel Jurnal
A Hybrid Pso–Emsocp Approach for Optimal Ev Charging Station Placement and Distributed Generation Planning in Radial Distribution Networks
The growing adoption of electric vehicles (EVs) has led to a significant rise in electricity demand, creating challenges for the reliability of distribution networks. Strategic placement of EV charging stations (EVCSs) is crucial for ensuring grid stability and minimizing disruptions. To mitigate…
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Artikel Jurnal
COVIXNet: A Robust and Explainable Deep Transfer Learning Framework for COVID-19 Detection from Chest X-ray Imagery
The COVID-19 pandemic has highlighted the urgent need for fast, accurate, and trustworthy diagnostic tools to complement routine testing procedures. While Chest X-ray (CXR) imaging is a valuable alternative, it requires specialized interpretation that is prone to subjectivity, creating a bottleneck…
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Artikel Jurnal
DL-NOMA-CancelNet: A Deep Learning Framework for Interference Cancellation Using CNN and BiLSTM
The rapid growth of user density and heterogeneous service requirements in 5G and emerging 6G networks has intensified multi-user interference, particularly in power-domain non-orthogonal multiple access (PD-NOMA) systems. Conventional successive interference cancellation (SIC) techniques suffer…
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Artikel Jurnal
An Adaptive-Intelligent Distance-Aware Approach for Dynamic Network Connectivity
Optimizing network connectivity characterizes a major challenge in different applications, e.g. IoT, where the efficiency of connectivity under constraints like distance and adaptability is essential. The key objective of the Minimum Spanning Tree (MST) methods is to construct a subset of a graph…
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Artikel Jurnal
Email Spam Filtering Using Artificial Intelligence Techniques
Email phishing and spam pose considerable cybersecurity risks. They require trustworthy, effective, and feasible detection methods. This research work proposes a model-based methodology for e-mail spam detection and phishing is based on artificial intelligence (AI). It works with a binary…
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Artikel Jurnal
Evaluating Machine Learning-Based Reinforcement Algorithms for Inverted Pendulum Stabilization
This work is based on classical and modern research on reinforcement learning, utilizing the CartPole-v0 environment for Q-learning, Hill Climbing, the REINFORCE algorithm, various versions of the Deep-Q-Network algorithm, and policy gradient approaches such as PPO and A2C. All the above models…