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Alexandria Engineering Journal

Dikeluarkan Scopus 2025

ISSN 1110-0168 · Elsevier · 7.101 artikel di indeks

  1. Artikel Jurnal

    Autonomous aerial pipeline detection and tracking using YOLOv8 and real-time control algorithms

    Ibrahim Akinjobi Aromoye; Lo Hai Hiung; Patrick Sebastian dkk.

    Alexandria Engineering Journal, Vol. 137 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    The oil and gas industry relies heavily on extensive pipeline networks, necessitating regular inspections and maintenance to ensure structural integrity and prevent failures. Traditional inspection methods, including manual visual checks and high-sensitivity sensors, are often labour-intensive…

  2. Artikel Jurnal

    A resource provision method for UAV-assisted edge computing based on improved DPoS consensus mechanism

    Jing Zhang; Tianming Yang; Qiang Guo dkk.

    Alexandria Engineering Journal, Vol. 137 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    With the proliferation of IoT devices and the widespread adoption of 5G technology, UAV-assisted edge computing (UAVAEC) architecture is rapidly expanding. However, the openness of wireless communication links renders the network vulnerable to malicious attacks, making security a significant…

  3. Artikel Jurnal

    Fracture evolution and anisotropic mechanical properties of layered rock based on discrete element modeling and experimental study

    Minglang Zou; Yan Zhang; Shaojun Li dkk.

    Alexandria Engineering Journal, Vol. 137 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    Since numerous geotechnical activities crossing layered rock masses, a comprehensive understanding of their mechanical behavior is crucial for engineering stability assessment. This paper establishes transversely isotropic numerical models with multiple bedding angles using PFC3D. After calibrating…

  4. Artikel Jurnal

    TraceNet: A novel modular framework for robust Multi-Object Tracking in crowded and dynamic environments

    Said Baz Jahfar Khan; Peng Zhang; Mian Muhammad Kamal dkk.

    Alexandria Engineering Journal, Vol. 137 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    Multi-Object Tracking (MOT) is a fundamental task in computer vision, vital for applications in autonomous driving, intelligent surveillance, and sports data analysis. However, tracking performance significantly degrades under conditions such as occlusion, small object instances, and fast motion…

  5. Artikel Jurnal

    Advancing sustainable water management: The pivotal role of civil engineering in navigating environmental and urban challenges

    Ali Akbar Firoozi; Ali Asghar Firoozi; Taoufik Saidani

    Alexandria Engineering Journal, Vol. 137 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    This study rigorously evaluates the critical role of civil engineering in advancing sustainable water management, a cornerstone for achieving global environmental sustainability and resource conservation objectives. Amid increasing water demands, exacerbated by climate change and rapid…

  6. Artikel Jurnal

    Intelligent traffic management with Mamba-ATSP: Optimizing signal control and path planning using multi-modal data fusion

    Xue Li; Zheng Li; Yan Wang

    Alexandria Engineering Journal, Vol. 137 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    Efficient processing of multi-source data and dynamic environments is essential for addressing the complex multi-task challenges in intelligent traffic signal control and path planning. Traditional models cannot capture time dependence, global information, and non-linearity relationships inherent…

  7. Artikel Jurnal

    Edge-refined U-net for multi-task weed detection and segmentation with pixel-level boundary refinement

    Amani K. Samha; Eatedal Alabdulkreem; Mohammed Aljaafari dkk.

    Alexandria Engineering Journal, Vol. 137 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    Weed detection and segmentation, particularly in the presence of multiple weed classes, present critical challenges for spraying robots in crop fields. Traditional weed classification models are limited to categorizing individual weeds, such as grasses or broadleaf weeds. Existing deep learning…

  8. Artikel Jurnal

    Fiber reinforced cementitious matrix bond behavior on masonry substrate

    Jin Lu; Xiaofan Liao

    Alexandria Engineering Journal, Vol. 137 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    In this study, the Multi Pier MP method, previously presented for Fiber Reinforced Polymer (FRP) delamination on masonry substrates, is adapted for the Fiber Reinforced Cementitious Matrix (FRCM) single lap shear behavior. Based on this method, an assemblage of vertical (piers) and diagonal…

  9. Artikel Jurnal

    Topological approach with decision making based on nano beta and its application

    S.A. Alblowi; Hala Alzumi; A.N. Al Qarni dkk.

    Alexandria Engineering Journal, Vol. 137 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    The concepts of nano beta are introduced in this article along with their relationships. We also analyze some of their properties. Based on this concept, we introduce the topological approach to decision-making and its application in the medical field, which uses topological tools like nano beta…

  10. Artikel Jurnal

    ET-YOLO:A study on a malaria pathogen detection model based on YOLO11

    Yong Lu; Chenxu Wang; Xuze Gu dkk.

    Alexandria Engineering Journal, Vol. 137 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    In order to effectively prevent the global spread of malaria, classical deep learning models have been applied to malaria detection. However, these models generally suffer from low accuracy. In order to address the identified limitations, an Efficient Target-Oriented YOLO model (ET-YOLO) is…

  11. Artikel Jurnal

    Data-Driven approach for the unified influence of media function and information density on the transmission dynamics of SIRS epidemic model via: Disease informed neural networks

    Hui Li; Muhammad Hanif; Ghaus ur Rahman dkk.

    Alexandria Engineering Journal, Vol. 137 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    In this study, we formulated a model that unifies the influence of media functions and information intervention on the transmission dynamics of the epidemic model. The media is used to inform people about the outbreak of a disease in a given population. The mass media function affects the rate of…

  12. Artikel Jurnal

    From words to proverbs: Evaluating LLMs’ linguistic and cultural competence in Saudi dialects with Absher

    Renad Al-Monef; Hassan Alhuzali; Nora Alturayeif dkk.

    Alexandria Engineering Journal, Vol. 137 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    As large language models (LLMs) become increasingly central to Arabic NLP applications, their effectiveness in linguistically diverse settings, particularly regions with rich dialectal variation such as Saudi Arabia, remains underexplored. Existing evaluation paradigms tend to prioritize…

  13. Artikel Jurnal

    ST-Former: A transformer-based temporal-scene fusion-driven auditory experience analysis model

    Yanxi Shen; Anran Li

    Alexandria Engineering Journal, Vol. 137 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    In the digital age, audio experience analysis and personalized recommendations have become core requirements for intelligent interaction. However, traditional methods struggle to simultaneously address audio temporal dynamic capture and scene semantic context fusion. This study proposes the…

  14. Artikel Jurnal

    An edge-available defect detection And Localization Flow Model

    Yueyang Sui; Anluo Yi

    Alexandria Engineering Journal, Vol. 137 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    Unsupervised defect detection aims to identify and localize unpredictable defects in industrial manufacturing processes caused by uncontrollable factors. Flow-based unsupervised models have recently attracted considerable attention from the research community. However, existing methods generally…

  15. Artikel Jurnal

    Numerical treatments of (IntVarFrac) order partial differential equations for cancer tumor disease based on non-singular kernel

    N.H. Sweilam; S.M. Al–Mekhlafi; A. Ahmed dkk.

    Alexandria Engineering Journal, Vol. 137 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    Cancer remains one of the most challenging medical conditions, requiring sophisticated mathematical models to accurately describe its dynamics and treatment responses. Traditional integer-order differential equations often fail to capture the complexities of tumor growth, immune system…

  16. Artikel Jurnal

    Efficient entropy estimation for inverted exponentiated Pareto distribution using ranked set sampling: A comparative study

    Amal S. Hassan; Tmader Alballa; Etaf Alshawarbeh dkk.

    Alexandria Engineering Journal, Vol. 137 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    Entropy, a key concept in information theory, measures the degree of unpredictability or uncertainty present in a random variable or system. It plays a vital role across various disciplines, including communication theory, thermodynamics, and statistical mechanics. On the other hand, Ranked Set…

  17. Artikel Jurnal

    VoxVeritasNet: A new feature engineering model leveraging iterative feature selection for detecting fake or real speech

    Burak Çelik; Burcu Zeybek; Mahmut Burak Karadeniz dkk.

    Alexandria Engineering Journal, Vol. 136 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    This study introduces VoxVeritasNet, a high-precision and computationally efficient feature engineering framework for deepfake audio detection. The methodology leverages a nine-level Multi-Level Discrete Wavelet Transform (MDWT) to capture intricate time–frequency artifacts. A key innovation is the…

  18. Artikel Jurnal

    Editorial Board

    Alexandria Engineering Journal, Vol. 136 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

  19. Artikel Jurnal

    A self-supervised multi-scale transformer for population growth and fertility intention forecasting

    Zhiwei Deng

    Alexandria Engineering Journal, Vol. 136 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    Accurately predicting population change trends and deeply understanding the factors influencing marriage and fertility intentions among people of childbearing age are of great significance for formulating effective population policies. However, existing population prediction models face several…

  20. Artikel Jurnal

    MSDD-Net: A lightweight multi-scale defect detection network for industrial lead frame inspection

    Mingyue Wei; Weidong Zhao; Ning Jia dkk.

    Alexandria Engineering Journal, Vol. 136 · 2026 · Inggris · DOAJ Dikeluarkan Scopus 2025

    Lead frames are key components in semiconductor packaging, where undetected surface defects may lead to reliability issues and economic losses. Existing surface defect detection methods are limited by large variations in defect scale, resulting in reduced accuracy and continued dependence on manual…

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