Home / Journals / CMES / Vol.142, No.2, 2025
Special Issues
Table of Content
  • Open AccessOpen Access

    REVIEW

    Topology, Size, and Shape Optimization in Civil Engineering Structures: A Review

    Ahmed Manguri1,2,3,*, Hogr Hassan3, Najmadeen Saeed3,4, Robert Jankowski1
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 933-971, 2025, DOI:10.32604/cmes.2025.059249 - 27 January 2025
    Abstract The optimization of civil engineering structures is critical for enhancing structural performance and material efficiency in engineering applications. Structural optimization approaches seek to determine the optimal design, by considering material performance, cost, and structural safety. The design approaches aim to reduce the built environment’s energy use and carbon emissions. This comprehensive review examines optimization techniques, including size, shape, topology, and multi-objective approaches, by integrating these methodologies. The trends and advancements that contribute to developing more efficient, cost-effective, and reliable structural designs were identified. The review also discusses emerging technologies, such as machine learning applications with More >

  • Open AccessOpen Access

    REVIEW

    Control Structures and Algorithms for Force Feedback Bilateral Teleoperation Systems: A Comprehensive Review

    Jiawei Tian1, Yu Zhou1, Lirong Yin2,*, Salman A. AlQahtani3, Minyi Tang4, Siyu Lu4, Ruiyang Wang4, Wenfeng Zheng3,4,*
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 973-1019, 2025, DOI:10.32604/cmes.2024.057261 - 27 January 2025
    Abstract Force feedback bilateral teleoperation represents a pivotal advancement in control technology, finding widespread application in hazardous material transportation, perilous environments, space and deep-sea exploration, and healthcare domains. This paper traces the evolutionary trajectory of force feedback bilateral teleoperation from its conceptual inception to its current complexity. It elucidates the fundamental principles underpinning interaction forces and tactile exchanges, with a specific emphasis on the crucial role of tactile devices. In this review, a quantitative analysis of force feedback bilateral teleoperation development trends from 2011 to 2024 has been conducted, utilizing published journal article data as the… More >

  • Open AccessOpen Access

    REVIEW

    Hysteresis-Loop Criticality in Disordered Ferromagnets–A Comprehensive Review of Computational Techniques

    Djordje Spasojević1,*, Sanja Janićević2, Svetislav Mijatović1, Bosiljka Tadić3,4
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1021-1107, 2025, DOI:10.32604/cmes.2024.057884 - 27 January 2025
    Abstract Disordered ferromagnets with a domain structure that exhibit a hysteresis loop when driven by the external magnetic field are essential materials for modern technological applications. Therefore, the understanding and potential for controlling the hysteresis phenomenon in these materials, especially concerning the disorder-induced critical behavior on the hysteresis loop, have attracted significant experimental, theoretical, and numerical research efforts. We review the challenges of the numerical modeling of physical phenomena behind the hysteresis loop critical behavior in disordered ferromagnetic systems related to the non-equilibrium stochastic dynamics of domain walls driven by external fields. Specifically, using the extended… More >

  • Open AccessOpen Access

    REVIEW

    Enhancing Evapotranspiration Estimation: A Bibliometric and Systematic Review of Hybrid Neural Networks in Water Resource Management

    Moein Tosan1, Mohammad Reza Gharib2,*, Nasrin Fathollahzadeh Attar3, Ali Maroosi4
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1109-1154, 2025, DOI:10.32604/cmes.2025.058595 - 27 January 2025
    Abstract Accurate estimation of evapotranspiration (ET) is crucial for efficient water resource management, particularly in the face of climate change and increasing water scarcity. This study performs a bibliometric analysis of 352 articles and a systematic review of 35 peer-reviewed papers, selected according to PRISMA guidelines, to evaluate the performance of Hybrid Artificial Neural Networks (HANNs) in ET estimation. The findings demonstrate that HANNs, particularly those combining Multilayer Perceptrons (MLPs), Recurrent Neural Networks (RNNs), and Convolutional Neural Networks (CNNs), are highly effective in capturing the complex nonlinear relationships and temporal dependencies characteristic of hydrological processes. These… More >

    Graphic Abstract

    Enhancing Evapotranspiration Estimation: A Bibliometric and Systematic Review of Hybrid Neural Networks in Water Resource Management

  • Open AccessOpen Access

    REVIEW

    Significant Advancements in UAV Technology for Reliable Oil and Gas Pipeline Monitoring

    Ibrahim Akinjobi Aromoye1, Hai Hiung Lo1, Patrick Sebastian1, Ghulam E Mustafa Abro2,*, Shehu Lukman Ayinla1,3
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1155-1197, 2025, DOI:10.32604/cmes.2025.058598 - 27 January 2025
    Abstract Unmanned aerial vehicles (UAVs) technology is rapidly advancing, offering innovative solutions for various industries, including the critical task of oil and gas pipeline surveillance. However, the limited flight time of conventional UAVs presents a significant challenge to comprehensive and continuous monitoring, which is crucial for maintaining the integrity of pipeline infrastructure. This review paper evaluates methods for extending UAV flight endurance, focusing on their potential application in pipeline inspection. Through an extensive literature review, this study identifies the latest advancements in UAV technology, evaluates their effectiveness, and highlights the existing gaps in achieving prolonged flight… More >

    Graphic Abstract

    Significant Advancements in UAV Technology for Reliable Oil and Gas Pipeline Monitoring

  • Open AccessOpen Access

    REVIEW

    Deep Learning and Artificial Intelligence-Driven Advanced Methods for Acute Lymphoblastic Leukemia Identification and Classification: A Systematic Review

    Syed Ijaz Ur Rahman1, Naveed Abbas1, Sikandar Ali2, Muhammad Salman1, Ahmed Alkhayat3, Jawad Khan4,*, Dildar Hussain5, Yeong Hyeon Gu5,*
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1199-1231, 2025, DOI:10.32604/cmes.2025.057462 - 27 January 2025
    (This article belongs to the Special Issue: Intelligent Medical Decision Support Systems: Methods and Applications)
    Abstract Automatic detection of Leukemia or blood cancer is one of the most challenging tasks that need to be addressed in the healthcare system. Analysis of white blood cells (WBCs) in the blood or bone marrow microscopic slide images play a crucial part in early identification to facilitate medical experts. For Acute Lymphocytic Leukemia (ALL), the most preferred part of the blood or marrow is to be analyzed by the experts before it spreads in the whole body and the condition becomes worse. The researchers have done a lot of work in this field, to demonstrate… More >

  • Open AccessOpen 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
    (This article belongs to the Special Issue: Algorithms, Models, and Applications of Fuzzy Optimization and Decision Making)
    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 AccessOpen Access

    REVIEW

    Leveraging Artificial Intelligence to Achieve Sustainable Public Healthcare Services in Saudi Arabia: A Systematic Literature Review of Critical Success Factors

    Rakesh Kumar1,*, Ajay Singh2, Ahmed Subahi Ahmed Kassar3, Mohammed Ismail Humaida3, Sudhanshu Joshi4, Manu Sharma5
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1289-1349, 2025, DOI:10.32604/cmes.2025.059152 - 27 January 2025
    (This article belongs to the Special Issue: Emerging Artificial Intelligence Technologies and Applications)
    Abstract This review aims to analyze the development and impact of Artificial Intelligence (AI) in the context of Saudi Arabia’s public healthcare system to fulfill Vision 2030 objectives. It is extensively devoted to AI technology deployment relevant to disease management, healthcare delivery, epidemiology, and policy-making. However, its AI is culturally sensitive and ethically grounded in Islam. Based on the PRISMA framework, an SLR evaluated primary academic literature, cases, and practices of Saudi Arabia’s AI implementation in the public healthcare sector. Instead, it categorizes prior research based on how AI can work, the issues it poses, and… More >

  • Open AccessOpen 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 AccessOpen Access

    ARTICLE

    From Imperfection to Perfection: Advanced 3D Facial Reconstruction Using MICA Models and Self-Supervision Learning

    Thinh D. Le, Duong Q. Nguyen, Phuong D. Nguyen, H. Nguyen-Xuan*
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1459-1479, 2025, DOI:10.32604/cmes.2024.056753 - 27 January 2025
    (This article belongs to the Special Issue: Data-driven Additive Manufacturing: Methodology, Fabrication, and Applications )
    Abstract Research on reconstructing imperfect faces is a challenging task. In this study, we explore a data-driven approach using a pre-trained MICA (MetrIC fAce) model combined with 3D printing to address this challenge. We propose a training strategy that utilizes the pre-trained MICA model and self-supervised learning techniques to improve accuracy and reduce the time needed for 3D facial structure reconstruction. Our results demonstrate high accuracy, evaluated by the geometric loss function and various statistical measures. To showcase the effectiveness of the approach, we used 3D printing to create a model that covers facial wounds. The More >

  • Open AccessOpen Access

    ARTICLE

    GPU-Enabled Isogometric Topology Optimization with Bėzier Element Stiffness Mapping

    Xuesong Li1, Shuting Wang1,2, Nianmeng Luo1,*, Aodi Yang1, Xing Yuan1, Xianda Xie2,*
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1481-1514, 2025, DOI:10.32604/cmes.2024.058798 - 27 January 2025
    Abstract Due to the high-order B-spline basis functions utilized in isogeometric analysis (IGA) and the repeatedly updating global stiffness matrix of topology optimization, Isogeometric topology optimization (ITO) intrinsically suffers from the computationally demanding process. In this work, we address the efficiency problem existing in the assembling stiffness matrix and sensitivity analysis using Bėzier element stiffness mapping. The Element-wise and Interaction-wise parallel computing frameworks for updating the global stiffness matrix are proposed for ITO with Bėzier element stiffness mapping, which differs from these ones with the traditional Gaussian integrals utilized. Since the explicit stiffness computation formula derived… More >

  • Open AccessOpen Access

    ARTICLE

    Sensitivity Analysis of Structural Dynamic Behavior Based on the Sparse Polynomial Chaos Expansion and Material Point Method

    Wenpeng Li1, Zhenghe Liu1, Yujing Ma1, Zhuxuan Meng2,*, Ji Ma3, Weisong Liu2, Vinh Phu Nguyen4
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1515-1543, 2025, DOI:10.32604/cmes.2025.059235 - 27 January 2025
    Abstract This paper presents a framework for constructing surrogate models for sensitivity analysis of structural dynamics behavior. Physical models involving deformation, such as collisions, vibrations, and penetration, are developed using the material point method. To reduce the computational cost of Monte Carlo simulations, response surface models are created as surrogate models for the material point system to approximate its dynamic behavior. An adaptive randomized greedy algorithm is employed to construct a sparse polynomial chaos expansion model with a fixed order, effectively balancing the accuracy and computational efficiency of the surrogate model. Based on the sparse polynomial More >

  • Open AccessOpen Access

    ARTICLE

    A Geometric Model Simplification Strategy for CFD Simulation of the Cockpit Internal Environment

    Meng Zhao1, Jiaao Liu2, Yudi Liu3, Zhengwei Long1,*
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1545-1564, 2025, DOI:10.32604/cmes.2025.058773 - 27 January 2025
    Abstract Computational Fluids Dynamics (CFD) simulations are essential for optimizing the design of a cockpit’s internal environment, but the complex geometric models consume a significant amount of computational resources and time. Arbitrary simplification of geometric models may result in inaccurate calculations of physical fields. To address this issue, this study establishes a geometric model simplification strategy and successfully applies it to a cockpit. The implementation of the whole approach is divided into three steps, summarized in three methods, namely Sensitivity Analysis Method (SAM), Detail Suppression Method (DSM), and Evaluation Standards Method (ESM). Sensitivity analysis of the More >

  • Open AccessOpen 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 AccessOpen 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 AccessOpen Access

    ARTICLE

    Enhancing Classification Algorithm Recommendation in Automated Machine Learning: A Meta-Learning Approach Using Multivariate Sparse Group Lasso

    Irfan Khan1, Xianchao Zhang1,*, Ramesh Kumar Ayyasamy2,*, Saadat M. Alhashmi3, Azizur Rahim4
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1611-1636, 2025, DOI:10.32604/cmes.2025.058566 - 27 January 2025
    (This article belongs to the Special Issue: Emerging Artificial Intelligence Technologies and Applications)
    Abstract The rapid growth of machine learning (ML) across fields has intensified the challenge of selecting the right algorithm for specific tasks, known as the Algorithm Selection Problem (ASP). Traditional trial-and-error methods have become impractical due to their resource demands. Automated Machine Learning (AutoML) systems automate this process, but often neglect the group structures and sparsity in meta-features, leading to inefficiencies in algorithm recommendations for classification tasks. This paper proposes a meta-learning approach using Multivariate Sparse Group Lasso (MSGL) to address these limitations. Our method models both within-group and across-group sparsity among meta-features to manage high-dimensional More >

  • Open AccessOpen Access

    ARTICLE

    Optimizing BERT for Bengali Emotion Classification: Evaluating Knowledge Distillation, Pruning, and Quantization

    Md Hasibur Rahman, Mohammed Arif Uddin, Zinnat Fowzia Ria, Rashedur M. Rahman*
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1637-1666, 2025, DOI:10.32604/cmes.2024.058329 - 27 January 2025
    (This article belongs to the Special Issue: Emerging Artificial Intelligence Technologies and Applications)
    Abstract The rapid growth of digital data necessitates advanced natural language processing (NLP) models like BERT (Bidirectional Encoder Representations from Transformers), known for its superior performance in text classification. However, BERT’s size and computational demands limit its practicality, especially in resource-constrained settings. This research compresses the BERT base model for Bengali emotion classification through knowledge distillation (KD), pruning, and quantization techniques. Despite Bengali being the sixth most spoken language globally, NLP research in this area is limited. Our approach addresses this gap by creating an efficient BERT-based model for Bengali text. We have explored 20 combinations… More >

    Graphic Abstract

    Optimizing BERT for Bengali Emotion Classification: Evaluating Knowledge Distillation, Pruning, and Quantization

  • Open AccessOpen Access

    ARTICLE

    Oversampling-Enhanced Feature Fusion-Based Hybrid ViT-1DCNN Model for Ransomware Cyber Attack Detection

    Muhammad Armghan Latif1, Zohaib Mushtaq2,*, Saifur Rahman3, Saad Arif4, Salim Nasar Faraj Mursal3, Muhammad Irfan3, Haris Aziz5
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1667-1695, 2025, DOI:10.32604/cmes.2024.056850 - 27 January 2025
    (This article belongs to the Special Issue: Emerging Technologies in Information Security )
    Abstract Ransomware attacks pose a significant threat to critical infrastructures, demanding robust detection mechanisms. This study introduces a hybrid model that combines vision transformer (ViT) and one-dimensional convolutional neural network (1DCNN) architectures to enhance ransomware detection capabilities. Addressing common challenges in ransomware detection, particularly dataset class imbalance, the synthetic minority oversampling technique (SMOTE) is employed to generate synthetic samples for minority class, thereby improving detection accuracy. The integration of ViT and 1DCNN through feature fusion enables the model to capture both global contextual and local sequential features, resulting in comprehensive ransomware classification. Tested on the UNSW-NB15 More >

  • Open AccessOpen Access

    ARTICLE

    Hygro-Thermo-Mechanical Equivalent Layer-Wise Theory of Laminated Shell Structures

    Francesco Tornabene*, Matteo Viscoti, Rossana Dimitri
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1697-1765, 2025, DOI:10.32604/cmes.2025.058841 - 27 January 2025
    (This article belongs to the Special Issue: Theoretical and Computational Modeling of Advanced Materials and Structures-II)
    Abstract This study presents a generalized two-dimensional model for evaluating the stationary hygro-thermo-mechanical response of laminated shell structures made of advanced materials. It introduces a generalized kinematic model, enabling the assessment of arbitrary values of temperature variation and mass concentration variation for the unvaried configuration at the top and bottom surfaces. This is achieved through the Equivalent Layer-Wise description of the unknown field variable using higher-order polynomials and zigzag functions. In addition, an elastic foundation is modeled utilizing the Winkler-Pasternak theory. The fundamental equations, derived from the total free energy of the system, are solved analytically… More >

    Graphic Abstract

    Hygro-Thermo-Mechanical Equivalent Layer-Wise Theory of Laminated Shell Structures

  • Open AccessOpen Access

    ARTICLE

    Magneto-Electro-Elastic Analysis of Doubly-Curved Shells: Higher-Order Equivalent Layer-Wise Formulation

    Francesco Tornabene*, Matteo Viscoti, Rossana Dimitri
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1767-1838, 2025, DOI:10.32604/cmes.2024.058842 - 27 January 2025
    (This article belongs to the Special Issue: Theoretical and Computational Modeling of Advanced Materials and Structures-II)
    Abstract Recent engineering applications increasingly adopt smart materials, whose mechanical responses are sensitive to magnetic and electric fields. In this context, new and computationally efficient modeling strategies are essential to predict the multiphysic behavior of advanced structures accurately. Therefore, the manuscript presents a higher-order formulation for the static analysis of laminated anisotropic magneto-electro-elastic doubly-curved shell structures. The fundamental relations account for the full coupling between the electric field, magnetic field, and mechanical elasticity. The configuration variables are expanded along the thickness direction using a generalized formulation based on the Equivalent Layer-Wise approach. Higher-order polynomials are selected,… More >

  • Open AccessOpen Access

    ARTICLE

    Numerical Simulation of Blood Flow Dynamics in a Stenosed Artery Enhanced by Copper and Alumina Nanoparticles

    Haris Alam Zuberi1, Madan Lal1, Amol Singh1, Nurul Amira Zainal2,3,*, Ali J. Chamkha4
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1839-1864, 2025, DOI:10.32604/cmes.2024.056661 - 27 January 2025
    (This article belongs to the Special Issue: Innovative Computational Methods and Applications of Nanofluids in Engineering)
    Abstract Nanotechnology holds immense importance in the biomedical field due to its ability to revolutionize healthcare on a molecular scale. Motivated by the imperative of enhancing patient outcomes, a comprehensive numerical simulation study on the dynamics of blood flow in a stenosed artery, focusing on the effects of copper and alumina nanoparticles, is conducted. The study employs a 2-dimensional Newtonian blood flow model infused with copper and alumina nanoparticles, considering the influence of a magnetic field, thermal radiation, and various flow parameters. The governing differential equations are first non-dimensionalized to facilitate analysis and subsequently solved using… More >

  • Open AccessOpen 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
    (This article belongs to the Special Issue: Innovative Computational Methods and Applications of Nanofluids in Engineering)
    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 AccessOpen Access

    ARTICLE

    Biomechanical Study of Different Scaffold Designs for Reconstructing a Traumatic Distal Femur Defect Using Patient-Specific Computational Modeling

    Hsien-Tsung Lu1,2, Ching-Chi Hsu3,*, Qi-Quan Jian3, Wei-Ting Chen4
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1883-1898, 2025, DOI:10.32604/cmes.2025.057675 - 27 January 2025
    (This article belongs to the Special Issue: Advances in Mathematical Modeling: Numerical Approaches and Simulation for Computational Biology)
    Abstract Reconstruction of a traumatic distal femur defect remains a therapeutic challenge. Bone defect implants have been proposed to substitute the bone defect, and their biomechanical performances can be analyzed via a numerical approach. However, the material assumptions for past computational human femur simulations were mainly homogeneous. Thus, this study aimed to design and analyze scaffolds for reconstructing the distal femur defect using a patient-specific finite element modeling technique. A three-dimensional finite element model of the human femur with accurate geometry and material distribution was developed using the finite element method and material mapping technique. An… More >

    Graphic Abstract

    Biomechanical Study of Different Scaffold Designs for Reconstructing a Traumatic Distal Femur Defect Using Patient-Specific Computational Modeling

  • Open AccessOpen 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
    (This article belongs to the Special Issue: Advances in Mathematical Modeling: Numerical Approaches and Simulation for Computational Biology)
    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 AccessOpen Access

    ARTICLE

    Hybrid DF and SIR Forwarding Strategy in Conventional and Distributed Alamouti Space-Time Coded Cooperative Networks

    Slim Chaoui1,*, Omar Alruwaili1, Faeiz Alserhani1, Haifa Harrouch2
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 1933-1954, 2025, DOI:10.32604/cmes.2025.059346 - 27 January 2025
    (This article belongs to the Special Issue: Computer Modeling for Future Communications and Networks)
    Abstract In this paper, we propose a hybrid decode-and-forward and soft information relaying (HDFSIR) strategy to mitigate error propagation in coded cooperative communications. In the HDFSIR approach, the relay operates in decode-and-forward (DF) mode when it successfully decodes the received message; otherwise, it switches to soft information relaying (SIR) mode. The benefits of the DF and SIR forwarding strategies are combined to achieve better performance than deploying the DF or SIR strategy alone. Closed-form expressions for the outage probability and symbol error rate (SER) are derived for coded cooperative communication with HDFSIR and energy-harvesting relays. Additionally,… More >

  • Open AccessOpen 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
    (This article belongs to the Special Issue: Advances in Swarm Intelligence Algorithms)
    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 AccessOpen 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
    (This article belongs to the Special Issue: Soft Computing Applications of Civil Engineering including AI-based Optimization and Prediction)
    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 >

  • Open AccessOpen 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
    (This article belongs to the Special Issue: Computational Methods in Mono/hybrid nanofluids: Innovative Applications and Future Trends)
    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 AccessOpen Access

    ARTICLE

    A Three-Dimensional SPH Simulation of Lander Footpad Impact on a Lunar Regolith Bed

    Wanqing Yuan1, Huiying Xie1, Can Huang2, Xiaoliang Wang1,3,*, Qingquan Liu1,*
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 2045-2066, 2025, DOI:10.32604/cmes.2025.058977 - 27 January 2025
    (This article belongs to the Special Issue: Recent Developments in Nonlocal Meshfree Particle Methods for Solids and Fluids )
    Abstract Landing spacecraft experience significant impact forces during landing, resulting in large deformation and failure in the soil surface, which severely affects landing safety and stability. This paper establishes a smoothed particle hydrodynamics (SPH) model based on the theory of soil elastoplastic constitutive relations to describe the process of a lander’s footpad impacting lunar regolith vertically. The model can provide engineering indices such as impact load and penetration depth, and illustrate the large deformation and crater characteristics of the regolith. A detailed analysis of the response of the footpad and lunar regolith during landing reveals that… More >

    Graphic Abstract

    A Three-Dimensional SPH Simulation of Lander Footpad Impact on a Lunar Regolith Bed

  • Open AccessOpen Access

    ARTICLE

    Parametric Analysis and Designing Maps for Powder Spreading in Metal Additive Manufacturing

    Yuxuan Wu, Sirish Namilae*
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 2067-2090, 2025, DOI:10.32604/cmes.2024.059091 - 27 January 2025
    (This article belongs to the Special Issue: Recent Advances in Modeling and Simulation of Advanced Mechanical Manufacturing Processes)
    Abstract Powder bed fusion (PBF) in metallic additive manufacturing offers the ability to produce intricate geometries, high-strength components, and reliable products. However, powder processing before energy-based binding significantly impacts the final product’s integrity. Processing maps guide efficient process design to minimize defects, but creating them through experimentation alone is challenging due to the wide range of parameters, necessitating a comprehensive computational parametric analysis. In this study, we used the discrete element method to parametrically analyze the powder processing design space in PBF of stainless steel 316L powders. Uniform lattice parameter sweeps are often used for parametric… More >

  • Open AccessOpen Access

    ARTICLE

    A Dynamic Prediction Approach for Wire Icing Thickness under Extreme Weather Conditions Based on WGAN-GP-RTabNet

    Mingguan Zhao1,2,*, Xinsheng Dong1,2, Yang Yang1,2, Meng Li1,2, Hongxia Wang1,2, Shuyang Ma1,2, Rui Zhu3, Xiaojing Zhu3
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 2091-2109, 2025, DOI:10.32604/cmes.2025.059169 - 27 January 2025
    (This article belongs to the Special Issue: Computational Intelligent Systems for Solving Complex Engineering Problems: Principles and Applications-II)
    Abstract Ice cover on transmission lines is a significant issue that affects the safe operation of the power system. Accurate calculation of the thickness of wire icing can effectively prevent economic losses caused by ice disasters and reduce the impact of power outages on residents. However, under extreme weather conditions, strong instantaneous wind can cause tension sensors to fail, resulting in significant errors in the calculation of icing thickness in traditional mechanics-based models. In this paper, we propose a dynamic prediction model of wire icing thickness that can adapt to extreme weather environments. The model expands… More >

  • Open AccessOpen Access

    ARTICLE

    Multi-Objective Hybrid Sailfish Optimization Algorithm for Planetary Gearbox and Mechanical Engineering Design Optimization Problems

    Miloš Sedak*, Maja Rosić, Božidar Rosić
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 2111-2145, 2025, DOI:10.32604/cmes.2025.059319 - 27 January 2025
    (This article belongs to the Special Issue: Computational Intelligent Systems for Solving Complex Engineering Problems: Principles and Applications-II)
    Abstract This paper introduces a hybrid multi-objective optimization algorithm, designated HMODESFO, which amalgamates the exploratory prowess of Differential Evolution (DE) with the rapid convergence attributes of the Sailfish Optimization (SFO) algorithm. The primary objective is to address multi-objective optimization challenges within mechanical engineering, with a specific emphasis on planetary gearbox optimization. The algorithm is equipped with the ability to dynamically select the optimal mutation operator, contingent upon an adaptive normalized population spacing parameter. The efficacy of HMODESFO has been substantiated through rigorous validation against established industry benchmarks, including a suite of Zitzler-Deb-Thiele (ZDT) and Zeb-Thiele-Laumanns-Zitzler (DTLZ) More >

  • Open AccessOpen 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
    (This article belongs to the Special Issue: New Trends on Meshless Method and Numerical Analysis)
    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 AccessOpen Access

    ARTICLE

    Imbibition Front and Phase Distribution in Shale Based on Lattice Boltzmann Method

    Li Lu1,2,3, Yadong Huang2,4, Kuo Liu2, Xuhui Zhang3,5, Xiaobing Lu3,5,*
    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.2, pp. 2173-2190, 2025, DOI:10.32604/cmes.2025.059045 - 27 January 2025
    (This article belongs to the Special Issue: Computer Modeling of Fluid Seepage in Porous Media with Ultra-low Permeabilities)
    Abstract To study the development of imbibition such as the imbibition front and phase distribution in shale, the Lattice Boltzmann Method (LBM) is used to study the imbibition processes in the pore-throat network of shale. Through dimensional analysis, four dimensionless parameters affecting the imbibition process were determined. A color gradient model of LBM was used in computation based on a real core pore size distribution. The numerical results show that the four factors have great effects on imbibition. The impact of each factor is not monotonous. The imbibition process is the comprehensive effect of all aspects. More >

Per Page:

Share Link