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  • Open Access

    ARTICLE

    Execution of Bioconvective Radiative Dissipative Non-Newtonian Magnetohydrodynamic Flow Comprising Stratification with BVP4C Approach Configured with Vertical Plane

    Gurram Dharmaiah1, Jupudi Lakshmi Rama Prasad2, Chegu Ramprasad3, Samad Noeiaghdam4,*, Unai Fernandez-Gamiz5, Saeed Dinarvand6

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 2019-2044, 2025, DOI:10.32604/cmes.2025.061190 - 27 January 2025

    Abstract The mathematical model for non-Newtonian magnetohydrodynamics flows across a vertically stretched surface with non-linear thermal radiation, mass and heat transfer rates, thermophoretic and Brownian movements, bio-convection, and motile microbes considered in the present work. It is possible to regulate the nanomaterial suspension in the nanofluid using the growth of microbes. With the use of boundary layer approximation, highly nonlinear partial differential equations were derived for the present flow model. The nonlinear partial differential equations are converted into ordinary differential equations by utilizing similarity transmutations, which simplify them. Numerical elixirs for ordinary differential equations are found More >

  • Open Access

    REVIEW

    Unveiling Effective Heuristic Strategies: A Review of Cross-Domain Heuristic Search Challenge Algorithms

    Mohamad Khairulamirin Md Razali1,*, Masri Ayob2, Abdul Hadi Abd Rahman2, Razman Jarmin3, Chian Yong Liu3, Muhammad Maaya3, Azarinah Izaham3, Graham Kendall4,5

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1233-1288, 2025, DOI:10.32604/cmes.2025.060481 - 27 January 2025

    Abstract The Cross-domain Heuristic Search Challenge (CHeSC) is a competition focused on creating efficient search algorithms adaptable to diverse problem domains. Selection hyper-heuristics are a class of algorithms that dynamically choose heuristics during the search process. Numerous selection hyper-heuristics have different implementation strategies. However, comparisons between them are lacking in the literature, and previous works have not highlighted the beneficial and detrimental implementation methods of different components. The question is how to effectively employ them to produce an efficient search heuristic. Furthermore, the algorithms that competed in the inaugural CHeSC have not been collectively reviewed. This… More >

  • Open Access

    REVIEW

    Plates, Beams and Shells Reinforced by CNTs or GPLs: A Review on Their Structural Behavior and Computational Methods

    Mohammad Javad Bayat1, Amin Kalhori2, Kamran Asemi1,*, Masoud Babaei3

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1351-1458, 2025, DOI:10.32604/cmes.2025.060222 - 27 January 2025

    Abstract Since the initial observation of carbon nanotubes (CNTs) and graphene platelets (GPLs) in the 1990 and 2000s, the demand for high-performance structural applications and multifunctional materials has driven significant interest in composite structures reinforced with GPLs and CNTs. Incorporating these nanofillers into matrix materials markedly enhances the mechanical properties of the structures. To further improve efficiency and functionality, functionally graded (FG) distributions of CNTs and GPLs have been proposed. This study presents an extensive review of computational approaches developed to predict the global behavior of composite structural components enhanced with CNT and GPL nanofillers. The… More >

  • Open Access

    ARTICLE

    Deep ResNet Strategy for the Classification of Wind Shear Intensity Near Airport Runway

    Afaq Khattak1,*, Pak-wai Chan2, Feng Chen3, Abdulrazak H. Almaliki4

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1565-1584, 2025, DOI:10.32604/cmes.2025.059914 - 27 January 2025

    Abstract Intense wind shear (I-WS) near airport runways presents a critical challenge to aviation safety, necessitating accurate and timely classification to mitigate risks during takeoff and landing. This study proposes the application of advanced Residual Network (ResNet) architectures including ResNet34 and ResNet50 for classifying I-WS and Non-Intense Wind Shear (NI-WS) events using Doppler Light Detection and Ranging (LiDAR) data from Hong Kong International Airport (HKIA). Unlike conventional models such as feedforward neural networks (FNNs), convolutional neural networks (CNNs), and recurrent neural networks (RNNs), ResNet provides a distinct advantage in addressing key challenges such as capturing intricate… More >

  • Open Access

    ARTICLE

    An Improved Local RBF Collocation Method for 3D Excavation Deformation Based on Direct Method and Mapping Technique

    Cheng Deng1,2, Hui Zheng2,*, Liangyong Gong1, Rongping Zhang1, Mengqi Wang3

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 2147-2172, 2025, DOI:10.32604/cmes.2025.059750 - 27 January 2025

    Abstract Since the plasticity of soil and the irregular shape of the excavation, the efficiency and stability of the traditional local radial basis function (RBF) collocation method (LRBFCM) are inadequate for analyzing three-dimensional (3D) deformation of deep excavation. In this work, the technique known as the direct method, where the local influence nodes are collocated on a straight line, is introduced to optimize the LRBFCM. The direct method can improve the accuracy of the partial derivative, reduce the size effect caused by the large length-width ratio, and weaken the influence of the shape parameters on the More >

  • Open Access

    ARTICLE

    Enhanced Multi-Object Dwarf Mongoose Algorithm for Optimization Stochastic Data Fusion Wireless Sensor Network Deployment

    Shumin Li1, Qifang Luo1,2,*, Yongquan Zhou1,2

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1955-1994, 2025, DOI:10.32604/cmes.2025.059738 - 27 January 2025

    Abstract Wireless sensor network deployment optimization is a classic NP-hard problem and a popular topic in academic research. However, the current research on wireless sensor network deployment problems uses overly simplistic models, and there is a significant gap between the research results and actual wireless sensor networks. Some scholars have now modeled data fusion networks to make them more suitable for practical applications. This paper will explore the deployment problem of a stochastic data fusion wireless sensor network (SDFWSN), a model that reflects the randomness of environmental monitoring and uses data fusion techniques widely used in… More >

  • Open Access

    ARTICLE

    Elastohydrodynamic Lubrication Performance of Curvilinear Cylindrical Gears Based on Finite Element Method

    Xuegang Zhang1,*, Yingjie Dong2, Xian Wei1,*, Ruiqi Wang1, Qi Zhang3

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1585-1609, 2025, DOI:10.32604/cmes.2025.059580 - 27 January 2025

    Abstract The fixed-setting face-milled curvilinear cylindrical gear features teeth that are arc-shaped along the longitudinal direction. Some researchers hypothesize that this arc-tooth may enhance the lubrication conditions of the gear. This study focuses on this type of gear, employing both finite element analysis (FEA) and analytical methods to determine the input parameters required for elastohydrodynamic lubrication (EHL) analysis. The effects of assembly errors, tooth surface modifications, load, and face-milling cutter radius on the lubrication performance of these gears are systematically investigated. The finite element model (FEM) of the gear pair is utilized to calculate the coordinates… More >

  • Open Access

    ARTICLE

    SEIR Mathematical Model for Influenza-Corona Co-Infection with Treatment and Hospitalization Compartments and Optimal Control Strategies

    Muhammad Imran1,*, Brett McKinney1, Azhar Iqbal Kashif Butt2

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1899-1931, 2025, DOI:10.32604/cmes.2024.059552 - 27 January 2025

    Abstract The co-infection of corona and influenza viruses has emerged as a significant threat to global public health due to their shared modes of transmission and overlapping clinical symptoms. This article presents a novel mathematical model that addresses the dynamics of this co-infection by extending the SEIR (Susceptible-Exposed-Infectious-Recovered) framework to incorporate treatment and hospitalization compartments. The population is divided into eight compartments, with infectious individuals further categorized into influenza infectious, corona infectious, and co-infection cases. The proposed mathematical model is constrained to adhere to fundamental epidemiological properties, such as non-negativity and boundedness within a feasible region.… More >

  • Open Access

    ARTICLE

    Ternary Hybrid Nanofluid with First and Second Order Velocity Slips: Dual Solutions with Stability Analysis

    Nur Syahirah Wahid1,*, Nor Ain Azeany Mohd Nasir2,3, Norihan Md Arifin1,3, Ioan Pop4,5

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1865-1881, 2025, DOI:10.32604/cmes.2024.059508 - 27 January 2025

    Abstract Modeling the boundary layer flow of ternary hybrid nanofluids is important for understanding and optimizing their thermal performance, particularly in applications where enhanced heat transfer and fluid dynamics are essential. This study numerically investigates the boundary layer flow of alumina-copper-silver/water nanofluid over a permeable stretching/shrinking sheet, incorporating both first and second-order velocity slip. The mathematical model is solved in MATLAB facilitated by the bvp4c function that employs the finite difference scheme and Lobatto IIIa formula. The solver successfully generates dual solutions for the model, and further analysis is conducted to assess their stability. The findings More >

  • Open Access

    ARTICLE

    Predicting the Construction Quality of Projects by Using Hybrid Soft Computing Techniques

    Ching-Lung Fan*

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1995-2017, 2025, DOI:10.32604/cmes.2025.059414 - 27 January 2025

    Abstract The construction phase of a project is a critical factor that significantly impacts its overall success. The construction environment is characterized by uncertainty and dynamism, involving nonlinear relationships among various factors that affect construction quality. This study utilized 987 construction inspection records from 1993 to 2022, obtained from the Taiwanese Public Construction Management Information System (PCMIS), to determine the relationships between construction factors and quality. First, fuzzy logic was applied to calculate the weights of 499 defects, and 25 critical construction factors were selected based on these weight values. Next, a deep neural network was… More >

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