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  • Open Access

    ARTICLE

    An Architecture-Aware Hybrid CPU–GPU Approach for WEMA-Based Fast Pattern Matching in Network Intrusion Detection Systems

    Adnan Hnaif1,*, Hanadi Al-Shawabkah2, Ayman Alqafaan2, Mohammad Alia1

    CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.082998 - 23 July 2026

    Abstract Many fast pattern-matching mechanisms are used in NIDS (Network Intrusion Detection Systems) to filter higher volumes of network traffic prior to invoking expensive rule verification stages. This filtering phase in signature-based engines, such as Snort, needs to preserve exact matching semantics while being able to process at high throughput on commodity hardware. Here, we introduce a hybrid CPU–GPU architecture-aware framework for exact multi-pattern matching based on the Weighted Exact Matching Algorithm (WEMA). WEMA performs the most relevant matching based on deterministic ordered indexing of category units, which eliminates chaotic control flow (which occurs with automata… More >

  • Open Access

    ARTICLE

    Systematic Analysis of the FLA Gene Family and Expression Profiling in Soybean Varieties with Varying Stem Thickness

    Mazin Ahmed Abdelraouf1,2, Xiaoqi He1, Hind Abdelmonim Elsanosi1,3, Tiantian Zhu1, Jinghui Shi1, Ullah Habib1, Li Song1,*

    Phyton-International Journal of Experimental Botany, Vol.95, No.6, 2026, DOI:10.32604/phyton.2026.079749 - 29 June 2026

    Abstract The fasciclin-like arabinogalactan protein (FLA) family is involved in important plant wall formation and mechanical strength of the stems, and has never been systematically characterized in soybean (Glycine max), a huge crop in which stem lodging has been the cause of significant losses in yield. Here, we found that the soybean genome has 64 GmFLA genes, or a considerable increase over Arabidopsis, rice, and poplar, and these genes were grouped into three phylogenetic clusters (A, B, and C) that have varied domain structures. Evolutionary studies showed that duplication of segments was the most common cause of family… More >

  • Open Access

    ARTICLE

    Ensemble Machine Learning Framework for PFAS Risk Screening in Public Water Systems

    Menahil Rahman1, Waqas Ishtiaq2, Amerah Alabrah3,*, Arif Mehmood4, Rana Faraz Ahmed4, Iqra Khalid5, Farhan Amin6,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.147, No.2, 2026, DOI:10.32604/cmes.2026.078549 - 27 May 2026

    Abstract Access to safe drinking water is a fundamental determinant of global health. The presence of contaminated water affects the citizens’ health. Per- and polyfluoroalkyl substances (PFAS) are often referred to as forever chemicals. They pose a persistent and growing threat to drinking water. In the literature, machine learning methods are used to identify the forever chemicals in water. However, traditional methods are not efficient and scalable. Thus, to solve this issue. This study develops a large-scale machine-learning framework for PFAS risk screening in US public water systems. The proposed framework incorporates data ingestion, preprocessing, and More >

  • Open Access

    ARTICLE

    A Fast Calculation Method for Dynamic Carbon Emission Factors Based on ILU Decomposition and BiCGSTABs

    Lihua Zhong1, Feng Pan1, Yuyao Yang1, Lei Feng1, Jinghe Jiang2, Guo Lin2, Xiaoshun Zhang3,*

    Energy Engineering, Vol.123, No.6, 2026, DOI:10.32604/ee.2025.073240 - 27 May 2026

    Abstract This paper addresses the challenge of efficiently calculating dynamic carbon emission factors (CEFs) in large-scale power systems. Traditional methods that rely on direct matrix inversion are computationally intensive and become impractical for networks with thousands of nodes. To overcome this limitation, a fast and scalable computational framework is proposed based on the incomplete LU (ILU) preconditioned biconjugate gradient stabilized (BiCGSTAB) iterative solver. The proposed approach formulates the nodal CEF model as a sparse linear system and employs Krylov subspace acceleration with ILU preconditioning to enhance convergence and numerical stability. The method is applied to synthetic… More > Graphic Abstract

    A Fast Calculation Method for Dynamic Carbon Emission Factors Based on ILU Decomposition and BiCGSTABs

  • Open Access

    ARTICLE

    Personalized Fashion Recommendation Fusing Multi-Behavior and Multi-Modal Features

    Xin Lu1, Jian-Hong Wang1,*, Kuo-Chun Hsu2,*

    CMC-Computers, Materials & Continua, Vol.88, No.1, 2026, DOI:10.32604/cmc.2026.078547 - 08 May 2026

    Abstract Aiming at the problems of data sparsity, uneven behavior weight allocation, and insufficient timeliness modeling existing in traditional recommendation systems in the scenario of personalized fashion recommendation, this paper proposes a personalized recommendation method that integrates multi-behavior weights and multi-modal features. A dynamic weighted collaborative filtering algorithm is designed, which comprehensively considers the multi-dimensional behaviors of users, and introduces a time attenuation factor to construct a time-sensitive user-item scoring matrix, so as to more accurately depict the dynamic changes of user interests. A multi-modal deep fusion framework is built: ResNet-50 is used to extract commodity… More >

  • Open Access

    ARTICLE

    Modeling and Analysis on Flow Instability of Helical Coiled Tube Steam Generator of Liquid Metal Fast Reactor under Coupled Heat Transfer Conditions

    Jialun Liu1,2,3,*, Yuchang Lu4, Jianjun Lin3, Shebing Li3, Ruixia Gao5, Zhao Li6

    Frontiers in Heat and Mass Transfer, Vol.24, No.2, 2026, DOI:10.32604/fhmt.2026.076292 - 30 April 2026

    Abstract A steady thermo-hydraulic model of the helical tube steam generator was first constructed to study the coupled heat transfer process between the primary and secondary sides based on a discrete modeling method, and obtain the heat flux density distribution along the steam generator. Then, taking the obtained coupled heat flux density distribution as the thermal boundary condition input, considering the dynamic variation of physical properties on the secondary side, a dynamic model based on the time-domain method suitable for two-phase flow instability among parallel multiple channels of the steam generator was constructed. Finally, taking the… More >

  • Open Access

    ARTICLE

    Advanced Methods for Investigating the Superheated State of Liquids Based on the Pump–Probe Principle

    Artem N. Kotov*, Aleksandr A. Starostin, Aleksandr L. Gurashkin

    Frontiers in Heat and Mass Transfer, Vol.24, No.2, 2026, DOI:10.32604/fhmt.2026.074926 - 30 April 2026

    Abstract Dynamic methods for creating a superheated state of liquids and tracking their decay are presented. These methods allow relaxation characteristics of short-lived metastable states to be investigated across a wide range of temperatures and pressures. The relaxation of a medium is studied by a “probe” action after a short “pump” pulse. The concentration of the pump pulse in time and space allows the synchronization and localization of means for recording fast-flowing processes. Our aim was to carry out a brief review of methods for studying pulsed thermal processes in a superheated liquid based on the… More >

  • Open Access

    ARTICLE

    Virtual basket mode in HoLEP: reduced early dysuria and faster continence recovery without loss of efficacy

    Serkan Özcan1,*, Mertcan Dama2, Enis Mert Yorulmaz1, Osman Köse1, Sacit Nuri Görgel1, Yiğit Akın1

    Canadian Journal of Urology, Vol.33, No.2, pp. 377-386, 2026, DOI:10.32604/cju.2025.072282 - 20 April 2026

    Abstract Objectives: Holmium laser enucleation of the prostate (HoLEP) is an established treatment for benign prostatic hyperplasia (BPH), but early postoperative dysuria and incontinence remain common concerns. The Virtual Basket (VB) mode has been proposed to reduce tissue trauma. This study evaluated whether VB use improves early postoperative recovery without compromising HoLEP efficacy. Methods: We retrospectively analyzed 168 men who underwent HoLEP between September 2023 and September 2024. Patients were categorized into three groups according to laser settings: 100 W Standard (n = 65), 100 W VB (n = 49), and 80 W VB (n =… More >

  • Open Access

    ARTICLE

    An Isothermal Surface Imaging and Transfer Learning Framework for Fast Isothermal Surface Prediction and 3D Temperature Field Reconstruction in Metal Additive Manufacturing

    Zhidong Wang, Yanping Lian*, Mingjian Li, Jiawei Chen, Ruxin Gao

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.3, 2026, DOI:10.32604/cmes.2026.078312 - 30 March 2026

    Abstract Metal additive manufacturing (AM) technology has promising applications across many fields due to its near-net-shape advantages. The quality of the as-built component is closely linked to the temperature evolution during the metal AM process, which exhibits strong nonlinearities, localized high gradients, and rapid cooling rates. Therefore, real-time prediction of the temperature field is essential for effective online process control to achieve high fabrication quality, which poses surprising challenges for numerical methods, as traditional methods suffer from the inherent time-consuming nature of fine time-space discretizations. In this study, we proposed an isothermal surface imaging and transfer… More >

  • Open Access

    ARTICLE

    Design, Realization, and Evaluation of Faster End-to-End Data Transmission over Voice Channels

    Jian Huang1, Mingwei Li1, Yulong Tian1, Yi Yao2, Hao Han1,*

    CMC-Computers, Materials & Continua, Vol.87, No.1, 2026, DOI:10.32604/cmc.2025.073201 - 10 February 2026

    Abstract With the popularization of new technologies, telephone fraud has become the main means of stealing money and personal identity information. Taking inspiration from the website authentication mechanism, we propose an end-to-end data modem scheme that transmits the caller’s digital certificates through a voice channel for the recipient to verify the caller’s identity. Encoding useful information through voice channels is very difficult without the assistance of telecommunications providers. For example, speech activity detection may quickly classify encoded signals as non-speech signals and reject input waveforms. To address this issue, we propose a novel modulation method based… More >

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