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 >

Shuailong Guo^*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012841

Abstract The loading capacity, spatial arrangement, and structural stability of monatomic catalysts have significant effects on their performance. Traditional physical and chemical methods cannot precisely control the adsorption, reduction, and anchoring of metal salt ions, making it challenging to achieve accurate synthesis of metal single atoms in three-dimensional space. This project aims to use porous crystal materials as the adsorption carrier for metal salt ions and lasers as the energy source for accurate reduction. This approach facilitates the precise synthesis and customization of single atoms in multidimensional space. By designing the pore size, morphology, particle size,… More >

Ruiping Wang, Chuang He, Shuo Zhang, Miaojun Xu^*, Zhuo Wang, Xiaoli Li^*, Bin Tao, Suliang Gao, Bin Li^*

Journal of Polymer Materials, Vol.42, No.4, pp. 1035-1049, 2025, DOI:10.32604/jpm.2025.073108 - 26 December 2025

Abstract The fabrication of highly flame-retardant polyamide 6 (PA6) composites is of great significance for expanding their practical applications. Herein, a new flame-retardant system (ADP/FA) was developed by combining aluminum diethylphosphinate (ADP) with excellent flame retardancy and fly ash (FA), an economical and environmentally friendly industrial waste. Due to the synergistic flame-retardant effect of ADP/FA in the condensed phase and gas phase, the PA6 composite containing only 11 wt% of ADP/FA (mass ratio 93:7) obtained vertical burning (UL-94) tests V-0 rating with a limiting oxygen index (LOI) of 30.9%. To obtain the same flame-retardant level of… More > Graphic Abstract

Siwei Zhang, Xiaozhou Xia^*, Xin Gu, Meilin Zong, Qing Zhang^*

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 3243-3278, 2025, DOI:10.32604/cmes.2025.073841 - 23 December 2025

Abstract This study presents a coupled thermo-hydro-mechanical-fatigue (THM-F) model, developed based on variational phase-field fatigue theory, to simulate the freeze-thaw (F-T) damage process in concrete. The fracture phase-field model incorporates the F-T fatigue mechanism driven by energy dissipation during the free energy growth stage. Using microscopic inclusion theory, we derive an evolution model of pore size distribution (PSD) for concrete under F-T cycles by treating pore water as columnar inclusions. Drawing upon pore ice crystal theory, calculation models that account for concrete PSD characteristics are established to determine ice saturation, permeability coefficient, and pore pressure. To… More >

Manuel J. C. S. Reis^1,*, Nishu Gupta²

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4225-4243, 2025, DOI:10.32604/cmes.2025.073366 - 23 December 2025

Abstract The forthcoming sixth generation (6G) of mobile communication networks is envisioned to be AI-native, supporting intelligent services and pervasive computing at unprecedented scale. Among the key paradigms enabling this vision, Federated Learning (FL) has gained prominence as a distributed machine learning framework that allows multiple devices to collaboratively train models without sharing raw data, thereby preserving privacy and reducing the need for centralized storage. This capability is particularly attractive for vision-based applications, where image and video data are both sensitive and bandwidth-intensive. However, the integration of FL with 6G networks presents unique challenges, including communication… More >

Sarfaraz Abdul Sattar Natha^1,*, Mohammad Siraj^2,*, Majid Altamimi², Adamali Shah², Maqsood Mahmud³

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4179-4201, 2025, DOI:10.32604/cmes.2025.072529 - 23 December 2025

Abstract A brain tumor is a disease in which abnormal cells form a tumor in the brain. They are rare and can take many forms, making them difficult to treat, and the survival rate of affected patients is low. Magnetic resonance imaging (MRI) is a crucial tool for diagnosing and localizing brain tumors. However, the manual interpretation of MRI images is tedious and prone to error. As artificial intelligence advances rapidly, DL techniques are increasingly used in medical imaging to accurately detect and diagnose brain tumors. In this study, we introduce a deep convolutional neural network… More >

Muhammad Saad Farooqui¹, Aizaz Ahmad Khattak², Bakri Hossain Awaji³, Nazik Alturki⁴, Noha Alnazzawi⁵, Muhammad Hanif^6,*, Muhammad Shahbaz Khan²

CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.3, pp. 4395-4439, 2025, DOI:10.32604/cmes.2025.072023 - 23 December 2025

Abstract Quality of Service (QoS) assurance in programmable IoT and 5G networks is increasingly threatened by cyberattacks such as Distributed Denial of Service (DDoS), spoofing, and botnet intrusions. This paper presents AutoSHARC, a feedback-driven, explainable intrusion detection framework that integrates Boruta and LightGBM–SHAP feature selection with a lightweight CNN–Attention–GRU classifier. AutoSHARC employs a two-stage feature selection pipeline to identify the most informative features from high-dimensional IoT traffic and reduces 46 features to 30 highly informative ones, followed by post-hoc SHAP-guided retraining to refine feature importance, forming a feedback loop where only the most impactful attributes are More >

H. K. Hassun^a,*, B. H. Hussein^a, B. K. H. Al-Maiyaly^a, R. H. Athab^a, Y. K. H. Moussa^b

Chalcogenide Letters, Vol.22, No.6, pp. 541-550, 2025, DOI:10.15251/CL.2025.226.541

Abstract Photoconductive possessions through the highly sensitive and responsive in lower applications apply voltages with a charge that effect the product for the photodetector utilizing Copper Sulfide was effective to fabricate and deposit by the means of thermal evaporation techniques following by the heat treatment with applications as the visible photodetector was described. Effects of doping to the antimony and aluminum on photo detectors property were estimated to be below illumination by the utilization of different power densities. The structure with the surface morphology properties was studied by XRD and AFM techniques, a clear effect of More >

C. M. Fu^a, M. Z. Ge^b, X. Q. Zhang^c, W. Yan^c,*

Chalcogenide Letters, Vol.22, No.8, pp. 665-677, 2025, DOI:10.15251/CL.2025.228.665

Abstract Constructing heterojunctions represents a crucial strategy for enhancing semiconductor photocatalysts. In this study, the C-MoO₂/Cd_0.9Zn_0.1S S-scheme heterojunction composite was successfully fabricated through a self-assembly approach. XPS analysis confirmed the spontaneous transfer of intrinsic electrons from Cd_0.9Zn_0.1S to C-MoO₂ in the dark, establishing an internal electric field at the C-MoO2/Cd_0.9Zn_0.1S interface. Under visible light irradiation, the C-MoO₂/Cd_0.9Zn_0.1S composite exhibited significantly enhanced hydrogen evolution activity, achieving a 6.3-fold improvement compared to pristine Cd_0.9Zn_0.1S. PL, TRPL, and electrochemical measurements collectively demonstrated that the incorporation of C-MoO₂ effectively suppressed the recombination of photogenerated electrons in Cd_0.9Zn_0.1S. The outstanding photocatalytic performance and improved charge More >

F. Khan^a, S. Noreen^a, M. S. Youssef^b, A. Jilani^c, H. T. Ali^b, G. Mustafa^d, M. Zahid^a,*

Chalcogenide Letters, Vol.22, No.9, pp. 807-820, 2025, DOI:10.15251/CL.2025.229.807

Abstract In this study Fe doped SnO₂-SnS₂ (FS) and Fe doped SnO₂-SnS₂-polypyrrole (FS-PPY) were synthesized and studied for the methylene blue (MB) egrdation under UV light. The morphological and structural characterizations were carried out by FTIR, SEM-EDX, XRD and XPS. It has been found that FS-PPy degrade methylene blue upto 98 % under optimized conditions as pH =3, dye concentration = 10 ppm, oxidant dose = 2 mM. The Langmuir-Hinshelwood kinetics model fitted well. The optimization was studied using response surface methodology. Scavengers study was carried out to find the active species. Reusability of photocatalyst was evaluated More >