Search Results - "Alexandria Engineering Journal"

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  1. 1

    Microstructure, mechanical and physical characteristics analysis of ADC14 hypereutectic AlSi composite reinforced with Al2O3 by Aqeel Ahmed Bhutto, Saidin Bin Wahab, Faheem Ahmed Solangi, Fayaz Hussain, Ding Zhou, T.M. Yunus Khan, Abdul Saddique Shaik

    Published 2025-07-01

    The instigation of primary and eutectic Si has been observed due to the higher content of Si during melting and caused to reduction in the mechanical strength of hypereutectic AlSi alloy. The appropriate mechanism of microstructure and inclusion of strengthening materials can overcome this problem....

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  2. 2

    A disambiguation method for potential ambiguities in Chinese based on knowledge graphs and large language model by Dan Zhang, Delong Jia

    Published 2025-07-01

    Traditional disambiguation methods struggle to effectively balance and integrate a wide range of contextual information and world knowledge when dealing with potential ambiguities in Chinese. To address this issue, this paper proposes a disambiguation model that integrates knowledge graphs and large...

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  3. 3

    NIR-responsive engineered colloidal polyaniline/ZnO/UiO-66-NH₂ nanoplatform: A multifunctional photothermal agent for precision therapy in breast cancer by Shefa Mirani Nezhad, Aboutaleb Kousha, Yasser Rajabi, Ehsan Nazarzadeh Zare, Saeed Rahimi

    Published 2025-07-01

    A colloidal polyaniline/ZnO/UiO-66-NH₂ (PANI/ZnO/UiO-66-NH₂) nano-platform was constructed in two steps. The nano-platform exhibited strong optical absorption in the near-infrared (NIR) region, enabling efficient conversion of optical energy into thermal energy under 808-nm laser irradiation, thereb...

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  4. 4

    Optimization of fuzzy bottleneck cost transportation models in the decision framework of congruence modulo technique by Kapil Kumar, Nandini, Tarun Kumar, Kailash Dhanuk, Anirudh Kumar Bhargava, M.K. Sharma

    Published 2025-08-01

    This article investigates the Congruence Modulo algorithm and time freezing method as innovative solutions for addressing fuzzy bottleneck cost transportation problems. Starting from the crisp bottleneck cost transportation problem, we extend this framework into a fuzzy domain, applying the proposed...

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  5. 5

    Computational analysis of hybrid GPL blood nanofluid flow over various stenosed arteries in the presence of a magnetic field by Kannigah Thirunananasambantham, Zuhaila Ismail, Lim Yeou Jiann, Amnani Shamjuddin

    Published 2025-10-01

    It is widely acknowledged that coronary artery disease is a prime reason for the increasing mortality rate across the world, highlighting the need for effective therapies and diagnostic methods. It has been demonstrated that magnetic fields and nanoparticles can contribute to the development of adva...

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  6. 6

    Statistical analysis of disability: Utilizing the new extended Rayleigh inverted Weibull model by Mohamed A. Abdelkawy, Safar M. Alghamdi, Ibrahim Elbatal, Atef F. Hashem, Ahmed W. Shawki, Mohammed Elgarhy

    Published 2025-10-01

    In this article, we provide a novel distribution known as the new extended Rayleigh inverted Weibull (NERIW) distribution, which arises from the new extended family of distributions (NE-G). The shapes of the probability density function (PDF) can be decreasing, unimodal, or right-skewed, but the sha...

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  7. 7

    Smart mobile application for real-time monitoring and prediction of pilgrim crowd activities in Hajj and Umrah using wearable sensors by Mahmoud Ragab

    Published 2025-10-01

    Performing Hajj or Umrah is an Islamic pilgrim tradition and the fifth important Islam pillar. Preparing to implement Hajj or Umrah is very important, and in the middle of travelling to Mecca, learning all the rules, rituals, and obligatory. The recent mobile applications open to the public that are...

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  8. 8

    Cost analysis for solar-powered adsorption desalination-cooling system utilizing improved Maxsorb III adsorbents under Egypt weather conditions by Ehab S. Ali, Ahmed S. Alsaman, Ahmed A. Askalany, A.M. Farid, Mohamed Ghazy, Ridha Ben Mansour, Rached Ben-Mansour, Wael M. El-Maghlany, Mohamed Hamam M. Tawfik

    Published 2025-07-01

    This study investigates performance and economic evaluation of an annual adsorption desalination system utilizing several activated carbons (raw Maxsorb III, Maxsorb III/HCl, Maxsorb III/(NH4)2CO3, and Maxsorb III/CaCl2) in the context of Egyptian climatic conditions. A comparison is made between th...

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  9. 9

    Design of novel intelligent electronic trap for early detection and monitoring of tomato crops pest Tuta Absoluta using Deep learning by Yaser M. Abid Alasady, Eduardo Pérez, Sebastián Ventura

    Published 2025-08-01

    To control insect pests and reduce the destruction of agricultural crops, the process of detection and monitoring of pests is an urgent need at present time. Due to the tremendous development in technology, the traditional methods used in laboratories considered a waste of time and human efforts. In...

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  10. 10

    4D memristive chaotic system based optional parameterized random number generator by S. Günakın, B. Şahintekin, Z.G. Çam Taşkıran

    Published 2025-10-01

    In this study, a new memristive 4D dynamic system for use in multi-party security systems with multi-key scenarios is introduced. Time series analysis, phase portraits, Lyapunov properties, and bifurcation diagrams are mathematically investigated. The chaotic structure is verified by the Kaplan–York...

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  11. 11

    An efficient gesture recognition for HCI based on semantics-guided GCNs and adaptive regularization graphs by Liheng Dong, Xin Xu, Guiqing He, Yuelei Xu, Jarhinbek Rasol, Chengyang Tao, Zhaoxiang Zhang

    Published 2025-07-01

    In the embedded system, real-time gesture recognition is crucial to human–computer interaction (HCI). Recently, Graph Convolutional Networks (GCNs) have been applied to inertial measurement unit-based (IMU-based) gesture recognition. However, the disadvantage of these GCN-based methods is that they...

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  12. 12

    Signal detection of massive MIMO systems using LSTM-based signal detectors for beyond 5G radio by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

    Published 2025-08-01

    Massive multiple inputs and multiple outputs (M-MIMO) are expected to play a vital role in radio systems beyond fifth-generation (B5G) by enhancing the throughput and spectral access of the framework. The use of multiple antennas in MIMO upsurges the complexity of accurate signal detection and degra...

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  13. 13

    Uniqueness property of the generalized Laplace transform and computational visualization of electromagnetic waves in plasma via fractional operators by Ahsan Mehmood, Muhammad Samraiz, Zhi-Guo Liu, Miguel Vivas-Cortez

    Published 2025-09-01

    In this paper, the extended form of the modified Atangana–Baleanu (A-B) Caputo fractional operators (FOs) is introduced and their properties and applications are demonstrated. Some fractional differential equations are formulated using the novel operators and are solved through the generalized Lapla...

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  14. 14

    Machine learning-based estimation of seismic structural damage via an accessible web application by Vasile Calofir, Mircea-Ștefan Simoiu, Ruben-Iacob Munteanu, Emil Calofir, Sergiu-Stelian Iliescu

    Published 2025-08-01

    This paper introduces DIGITERRA, a novel web-based platform that enhances accessibility to seismic damage estimation through machine learning techniques. Trained on 120,000 nonlinear dynamic simulations, DIGITERRA provides accurate structural damage assessments without requiring specialized software...

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  15. 15

    Vehicle detection and classification for traffic management and autonomous systems using YOLOv10 by Anning Ji, Xintao Ma

    Published 2025-08-01

    With the continuous development of Intelligent Transportation Systems (ITS), real-time vehicle detection and classification have become critical tasks for urban traffic management and autonomous driving. However, existing detection methods face challenges such as small target detection, severe occlu...

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  17. 17

    A new probabilistic model with reliability properties and empirical analysis in musical education: A case study centered on piano by Weize Ma, Yueling Lang, Xiaohui Ma, Xintao Ma, Badr Alnssyan, Javid Gani Dar, Huda M. Alshanbari

    Published 2025-10-01

    This study mainly aims to enhance the current knowledge base of distribution theory by revealing a new probability distribution known as the cosine-weighted generalized inverse Weibull (CWGI-Weibull) distribution. Thus, this effort seeks to improve data modeling methodologies and tactics, ultimately...

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  18. 18

    The modulations of collapsing stochastic (2+1)-dimensional Maccari system structures by Mohammed Alharthi

    Published 2025-10-01

    This paper uses the extended tanh approach to study the nonlinear (2+1)-dimensional Maccari system (MS) with multiplicative noise. This model represents a category of integrable nonlinear partial differential equations (NPDE) that describes the interaction between short and long wave elements. Namel...

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  19. 19

    Existence of solutions to integral and fractional differential equations via common fixed points of extended contractions by Usman Shehzad, Samina Batul, Dur-e-Shehwar Sagheer, Hassen Aydi, Ahmed Al Rawashdeh

    Published 2025-09-01

    Our research develops innovative fixed point results for coupled α-dominated multivalued, orbitally lower semi-continuous mappings in orbital controlled metric spaces. The task is achieved by further introducing an extended rational type advanced Nashine–Wardowski–Feng–Liu-type contraction. Moreover...

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  20. 20

    Enhancing solar PV suitability mapping in the Middle East using an optimized deep learning framework by Sajaa Muhsein Khazael, Khairul Nizam Abdul Maulud, Mohamed Barakat A. Gibril, Mourtadha Sarhan Sachit, Othman A.Karim

    Published 2025-10-01

    The shift toward sustainable energy has underscored the importance of optimizing PhotoVoltaic (PV) site selection through cutting-edge technological approaches. This study introduces an optimized Deep Learning (DL) framework for mapping PV suitability. The framework combines TabNet-an attentive and...

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