Mohamed Ezz¹, Meshrif Alruily^1,*, Ayman Mohamed Mostafa^2,*, Alaa S. Alaerjan¹, Bader Aldughayfiq², Hisham Allahem², Abdulaziz Shehab²

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-28, 2026, DOI:10.32604/cmc.2025.063189 - 10 November 2025

Abstract Automated essay scoring (AES) systems have gained significant importance in educational settings, offering a scalable, efficient, and objective method for evaluating student essays. However, developing AES systems for Arabic poses distinct challenges due to the language’s complex morphology, diglossia, and the scarcity of annotated datasets. This paper presents a hybrid approach to Arabic AES by combining text-based, vector-based, and embedding-based similarity measures to improve essay scoring accuracy while minimizing the training data required. Using a large Arabic essay dataset categorized into thematic groups, the study conducted four experiments to evaluate the impact of feature selection,… More >

Qiuyu Lu¹, Yunqi Yan², Yang Liu¹, Ying Chen^2,*, Yinguo Yang¹, Tannan Xiao³, Guobing Wu¹

Energy Engineering, Vol.122, No.12, pp. 4799-4814, 2025, DOI:10.32604/ee.2025.069131 - 27 November 2025

Abstract The rapid expansion of offshore wind energy necessitates robust and cost-effective electrical collector system (ECS) designs that prioritize lifetime operational reliability. Traditional optimization approaches often simplify reliability considerations or fail to holistically integrate them with economic and technical constraints. This paper introduces a novel, two-stage optimization framework for offshore wind farm (OWF) ECS planning that systematically incorporates reliability. The first stage employs Mixed-Integer Linear Programming (MILP) to determine an optimal radial network topology, considering linearized reliability approximations and geographical constraints. The second stage enhances this design by strategically placing tie-lines using a Mixed-Integer Quadratically Constrained More >

Lihao Zhang^1,2, Lin Cao^1,2, Lige Huang^1,2, Jie Wang^1,2, Jiabing Li^2,3,*

Canadian Journal of Urology, Vol.32, No.5, pp. 457-468, 2025, DOI:10.32604/cju.2025.067364 - 30 October 2025

Abstract Background: Studies have indicated an association between inflammatory factors (IFs) in the blood and the development of bladder cancer (BC). This study aimed to explore the correlation and clinical significance of IFs with the pathological grading of BC. Methods: A retrospective analysis was conducted on the preoperative blood routine results, postoperative pathological findings, and baseline information of 163 patients. Patients were divided into high-grade and low-grade groups based on pathological grading. Group comparisons and logistic regression analyses were performed using R software version 4.1.3 to explore the relationships between IFs and BC pathological grading. Results: The… More >

Nadia Gouider¹, Mohammed Benzerara^2,*, Yazid Hadidane¹, S. M. Anas^3,*, Oulfa Harrat¹, Hamda Guedaoura^2,4, Anfel Chaima Hadidane⁵, Messaoud Saidani⁶

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 457-481, 2025, DOI:10.32604/cmes.2025.071600 - 30 October 2025

Abstract In recent years, cold-formed steel (CFS) built-up sections have gained a lot of attention in construction. This is mainly because of their structural efficiency and the design advantages they offer. They provide better load-bearing strength and show greater resistance to elastic instability. This study looks at both experimental and numerical analysis of built-up CFS columns. The columns were formed by joining two C-sections in different ways: back-to-back, face-to-face, and box arrangements. Each type was tested with different slenderness ratios. For the experiments, the back-to-back and box sections were connected using two rows of rivets. The… More > Graphic Abstract

Mengna Cheng¹, Hao Guo², Feng Cao², Jie Gong¹, Fengshuang Du^1,*

FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.10, pp. 2629-2650, 2025, DOI:10.32604/fdmp.2025.070344 - 30 October 2025

Abstract Produced water reinjection is a common strategy in offshore oilfield operations, yet the presence of solid particles in produced water can lead to localized formation pressure buildup, increasing the risk of rock fracturing and leakage. In this study, we present an integrated experimental and numerical investigation to quantify the effects of particle migration on formation pressure and the spatial diffusion of injected water. Dynamic plugging experiments were performed to systematically examine the influence of injection rate and injection volume on core permeability. Results demonstrate that higher injection rates substantially reduce permeability, and the derived relationship More >

Mao Jiang¹, Jianshu Wu¹, Chengyong Peng¹, Xuesong Xing¹, Yishan Lou^2,3, Yi Liu^2,3,*, Shanyong Liu^2,3

Energy Engineering, Vol.122, No.10, pp. 4019-4034, 2025, DOI:10.32604/ee.2025.067236 - 30 September 2025

Abstract Fracture conductivity is a key factor to determine the fracturing effect. Optimizing proppant particle size distribution is critical for ensuring efficient proppant placement within fractures. To address challenges associated with the low-permeability reservoirs in the Lufeng Oilfield of the South China Sea—including high heterogeneity, complex lithology, and suboptimal fracturing outcomes—JRC (Joint Roughness Coefficient) was employed to quantitatively characterize the lithological properties of the target formation. A CFD-DEM (Computational Fluid Dynamics-Discrete Element Method) two-way coupling approach was then utilized to construct a fracture channel model that simulates proppant transport dynamics. The proppant particle size under different… More >

Bassel Weiss¹, Segundo Esteban^2,*, Matilde Santos³

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.3, pp. 3387-3418, 2025, DOI:10.32604/cmes.2025.070070 - 30 September 2025

Abstract Anomaly detection in wind turbines involves emphasizing its ability to improve operational efficiency, reduce maintenance costs, extend their lifespan, and enhance reliability in the wind energy sector. This is particularly necessary in offshore wind, currently one of the most critical assets for achieving sustainable energy generation goals, due to the harsh marine environment and the difficulty of maintenance tasks. To address this problem, this work proposes a data-driven methodology for detecting power generation anomalies in offshore wind turbines, using normalized and linearized operational data. The proposed framework transforms heterogeneous wind speed and power measurements into… More > Graphic Abstract

Ziming Hu¹, Jingfa Li^1,*, Chaoyang Fan¹, Jiale Xiao¹, Huijie Huang², Bo Yu¹, Baocheng Shi¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.010823

Abstract Hydrogen production from offshore wind power is an effective means to address the challenges of wind power grid integration and has emerged as a focal point in the development and research of offshore wind energy in recent years. However, the current state of hydrogen storage and transportation technologies for offshore applications lacks comprehensive economic analysis. This study aims to provide a thorough economic evaluation of these technologies by considering both fixed investment costs and operational and maintenance costs. A levelized cost model is employed to analyze four offshore hydrogen storage and transportation schemes: gas hydrogen… More >

Weishuai Zhang, Fengjiao Wang, Yikun Liu^*, Yilin Liu

The International Conference on Computational & Experimental Engineering and Sciences, Vol.33, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.010789

Abstract The mechanism of vertical extension in high-volume hydraulic fracturing is of significant importance for the volumetric transformation of low-permeability reservoirs in deep offshore sandstone formations. The complexity of fracture propagation behavior is influenced by the characteristics of discontinuous thin layers in the vertical plane. However, the mechanisms and influencing factors of fracture extension in the vertical direction during high-volume hydraulic fracturing remain unclear. This study integrates true triaxial hydraulic fracturing experiments with acoustic emission (AE) monitoring, employing a nonlinear finite element method to establish a multi-thin interlayer fracturing model based on seepage-stress-damage coupling. It investigates… More >

Essam H. Houssein^1,*, Eman Saber¹, Nagwan Abdel Samee²

CMES-Computer Modeling in Engineering & Sciences, Vol.144, No.2, pp. 2445-2480, 2025, DOI:10.32604/cmes.2025.069184 - 31 August 2025

Abstract The diagnosis of Dry Eye Disease (DED), however, usually depends on clinical information and complex, high-dimensional datasets. To improve the performance of classification models, this paper proposes a Computer Aided Design (CAD) system that presents a new method for DED classification called (IAOO-PSO), which is a powerful Feature Selection technique (FS) that integrates with Opposition-Based Learning (OBL) and Particle Swarm Optimization (PSO). We improve the speed of convergence with the PSO algorithm and the exploration with the IAOO algorithm. The IAOO is demonstrated to possess superior global optimization capabilities, as validated on the IEEE Congress on More >