Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (292)
  • Open Access

    ARTICLE

    HCF-MFGB: Hybrid Collaborative Filtering Based on Matrix Factorization and Gradient Boosting

    Salahudin Robo1,2, Triyanna Widiyaningtyas1,*, Wahyu Sakti Gunawan Irianto1

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-19, 2026, DOI:10.32604/cmc.2025.073011 - 09 December 2025

    Abstract Recommendation systems are an integral and indispensable part of every digital platform, as they can suggest content or items to users based on their respective needs. Collaborative filtering is a technique often used in various studies, which produces recommendations by analyzing similarities between users and items based on their behavior. Although often used, traditional collaborative filtering techniques still face the main challenge of sparsity. Sparsity problems occur when the data in the system is sparse, meaning that only a portion of users provide feedback on some items, resulting in inaccurate recommendations generated by the system.… More >

  • Open Access

    ARTICLE

    PMCFusion: A Parallel Multi-Dimensional Complementary Network for Infrared and Visible Image Fusion

    Xu Tao1, Qiang Xiao2, Zhaoqi Jin2, Hao Li1,*

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-18, 2026, DOI:10.32604/cmc.2025.070790 - 09 December 2025

    Abstract Image fusion technology aims to generate a more informative single image by integrating complementary information from multi-modal images. Despite the significant progress of deep learning-based fusion methods, existing algorithms are often limited to single or dual-dimensional feature interactions, thus struggling to fully exploit the profound complementarity between multi-modal images. To address this, this paper proposes a parallel multi-dimensional complementary fusion network, termed PMCFusion, for the task of infrared and visible image fusion. The core of this method is its unique parallel three-branch fusion module, PTFM, which pioneers the parallel synergistic perception and efficient integration of… More >

  • Open Access

    ARTICLE

    Jet Pump Structural Optimization through CFD Analysis and Experimental Validation

    Zhengqiang Peng1,*, Rendong Feng1, Fang Han1, Jing Guo1, Shen Chi1, Wenao Huang1, Jie Luo2

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.12, pp. 2945-2961, 2025, DOI:10.32604/fdmp.2025.073281 - 31 December 2025

    Abstract Jet pumps often suffer from efficiency losses due to the intense mixing of power and suction fluids, which leads to significant kinetic energy dissipation. Enhancing the efficiency of such pumps requires careful optimization of their structural parameters. In this study, a computational fluid dynamics (CFD) model of a hydraulic jet sand-flushing pump is developed to investigate the effects of throat-to-nozzle distance, area ratio, and throat length on the pump’s sand-carrying performance. An orthogonal experimental design is employed to optimize the structural parameters, while the influence of sand characteristics on pumping performance is systematically evaluated. Complementary… More >

  • Open Access

    ARTICLE

    Vortex-Induced Vibration Prediction in Floating Structures via Unstructured CFD and Attention-Based Convolutional Modeling

    Yan Li1,2,*, Yibin Wu1,2, Bo Zhang1,2

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.12, pp. 2905-2925, 2025, DOI:10.32604/fdmp.2025.072979 - 31 December 2025

    Abstract Traditional Computational Fluid Dynamics (CFD) simulations are computationally expensive when applied to complex fluid–structure interaction problems and often struggle to capture the essential flow features governing vortex-induced vibrations (VIV) of floating structures. To overcome these limitations, this study develops a hybrid framework that integrates high-fidelity CFD modeling with deep learning techniques to enhance the accuracy and efficiency of VIV response prediction. First, an unstructured finite-volume fluid–structure coupling model is established to generate high-resolution flow field data and extract multi-component time-series feature tensors. These tensors serve as inputs to a Squeeze-and-Excitation Convolutional Neural Network (SE-CNN), which… More >

  • Open Access

    ARTICLE

    Numerical Analysis of Non-Uniform Pollutant Distribution in an Internal Space of Tank and the Efficacy of an Active Purification Strategy

    Xiaolong Li, Hui Chen, Yingwen Liu, Peng Yang*

    Frontiers in Heat and Mass Transfer, Vol.23, No.6, pp. 1767-1788, 2025, DOI:10.32604/fhmt.2025.070537 - 31 December 2025

    Abstract Hazardous gas intrusion in tightly sealed and geometrically complex confined spaces, such as armored tanks, poses a critical threat to occupant health. The intricate internal structure of these systems may lead to non-intuitive pollutant transport pathways. However, the spatial and temporal evolution of these structures, as well as the intrinsic mechanisms of the purification systems, remain poorly elucidated. In this study, a high-fidelity, transient three-dimensional computational fluid dynamics (CFD) model was developed to simulate the leakage and dispersion of carbon monoxide (CO) and nitrogen dioxide (NO2) using the RNG k-ε turbulence model. Scenarios with and without… More > Graphic Abstract

    Numerical Analysis of Non-Uniform Pollutant Distribution in an Internal Space of Tank and the Efficacy of an Active Purification Strategy

  • Open Access

    ARTICLE

    Numerical Investigation of Wind Resistance in Inland River Low-Emission Ships

    Guang Chen1, Shiwang Dang1, Fanpeng Kong2, Lingchong Hu1, Zhiming Zhang1, Yi Guo3, Xue Pei1, Jichao Li1,4,*

    FDMP-Fluid Dynamics & Materials Processing, Vol.21, No.11, pp. 2721-2740, 2025, DOI:10.32604/fdmp.2025.068889 - 01 December 2025

    Abstract To enhance the navigation efficiency of inland new-energy ships and reduce energy consumption and emissions, this study investigates wind load coefficients under 13 conditions, combining a wind speed of 2.0 m/s with wind direction angles ranging from 0° to 180° in 15° increments. Using Computational Fluid Dynamics (CFD) simulations, the wind load is decomposed into along-course (CX) and transverse (CY) components, and their variation with wind direction is systematically analyzed. Results show that CX is maximal under headwind (0°), decreases approximately following a cosine trend, and reaches its most negative value under tailwind (180°). CY peaks at More >

  • Open Access

    ARTICLE

    CFD Analysis of Corrugated Plate Designs to Improve Heat Transfer Efficiency in Plate Heat Exchangers

    Kashif Ahmed Soomro1,2,3,*, Rahool Rai1,3,4, S. R. Qureshi2, Sudhakar Kumarasamy4,5,6, Abdul Hameed Memon1, Rabiya Jamil1

    Energy Engineering, Vol.122, No.12, pp. 4857-4872, 2025, DOI:10.32604/ee.2025.069847 - 27 November 2025

    Abstract Plate heat exchangers suffer from significant energy losses, which adversely affect the overall efficiency of thermal systems. To address this challenge, various heat transfer enhancement techniques have been investigated. Notably, the incorporation of surface corrugations is widely recognized as both effective and practical. Chevron corrugation is the most employed design. However, there remains a need to investigate alternative geometries that may offer superior performance. This study aims to find a novel corrugation design by conducting a comparative CFD analysis of flat, square, chevron, and cylindrical corrugated surfaces, assessing their impact on heat transfer enhancement within… More > Graphic Abstract

    CFD Analysis of Corrugated Plate Designs to Improve Heat Transfer Efficiency in Plate Heat Exchangers

  • Open Access

    ARTICLE

    Shock-Boundary Layer Interaction in Transonic Flows: Evaluation of Grid Resolution and Turbulence Modeling Effects on Numerical Predictions

    Mehmet Numan Kaya*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 327-343, 2025, DOI:10.32604/cmes.2025.072000 - 30 October 2025

    Abstract This study investigates the influence of mesh resolution and turbulence model selection on the accuracy of numerical simulations for transonic flow, with particular emphasis on shock-boundary layer interaction phenomena. Accurate prediction of such flows is notoriously difficult due to the sensitivity to near-wall resolution, global mesh density, and turbulence model assumptions, and this problem motivates the present work. Two solvers were employed, rhoCentralFoam (unsteady) and TSLAeroFoam (steady-state), both are compressible and density-based and implemented within the OpenFOAM framework. The investigation focuses on three different non-dimensional wall distance (y+) values of 1, 2.5 and 5, each implemented… More >

  • Open Access

    ARTICLE

    Axial Behavior and Stability of Built-Up Cold-Formed Steel Columns with and without Concrete Infill: Experimental and Numerical Investigation

    Nadia Gouider1, Mohammed Benzerara2,*, Yazid Hadidane1, S. M. Anas3,*, Oulfa Harrat1, Hamda Guedaoura2,4, 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

    Axial Behavior and Stability of Built-Up Cold-Formed Steel Columns with and without Concrete Infill: Experimental and Numerical Investigation

  • Open Access

    ARTICLE

    Cavitation Performance Analysis of Tip Clearance in a Bulb-Type Hydro Turbine

    Feng Zhou1,2, Qifei Li1,*, Lu Xin1, Shiang Zhang3, Yang Liu1, Ming Guo1

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 411-429, 2025, DOI:10.32604/cmes.2025.069639 - 30 October 2025

    Abstract Bulb-type hydro turbines are commonly used in small- to medium-scale hydropower stations due to their compact design and adaptability to low-head conditions. However, long-term operation often results in wear at the runner rim, increasing tip clearance and triggering leakage flow and cavitation. These effects reduce hydraulic efficiency and accelerate blade surface erosion, posing serious risks to unit safety and operational stability. This study investigates the influence of tip clearance on cavitation performance in a 24 MW prototype bulb turbine. A three-dimensional numerical model is developed to simulate various operating conditions with different tip clearance values… More >

Displaying 1-10 on page 1 of 292. Per Page