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  • 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

    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 Access

    ARTICLE

    LiDAR-Visual SLAM with Integrated Semantic and Texture Information for Enhanced Ecological Monitoring Vehicle Localization

    Yiqing Lu1, Liutao Zhao2,*, Qiankun Zhao3

    CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 1401-1416, 2025, DOI:10.32604/cmc.2024.058757 - 03 January 2025

    Abstract Ecological monitoring vehicles are equipped with a range of sensors and monitoring devices designed to gather data on ecological and environmental factors. These vehicles are crucial in various fields, including environmental science research, ecological and environmental monitoring projects, disaster response, and emergency management. A key method employed in these vehicles for achieving high-precision positioning is LiDAR (lightlaser detection and ranging)-Visual Simultaneous Localization and Mapping (SLAM). However, maintaining high-precision localization in complex scenarios, such as degraded environments or when dynamic objects are present, remains a significant challenge. To address this issue, we integrate both semantic and… More >

  • Open Access

    ARTICLE

    Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models

    Duc-Dam Nguyen1, Nguyen Viet Tiep2,*, Quynh-Anh Thi Bui1, Hiep Van Le1, Indra Prakash3, Romulus Costache4,5,6,7, Manish Pandey8,9, Binh Thai Pham1

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 467-500, 2025, DOI:10.32604/cmes.2024.056576 - 17 December 2024

    Abstract This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand, India, using advanced ensemble models that combined Radial Basis Function Networks (RBFN) with three ensemble learning techniques: DAGGING (DG), MULTIBOOST (MB), and ADABOOST (AB). This combination resulted in three distinct ensemble models: DG-RBFN, MB-RBFN, and AB-RBFN. Additionally, a traditional weighted method, Information Value (IV), and a benchmark machine learning (ML) model, Multilayer Perceptron Neural Network (MLP), were employed for comparison and validation. The models were developed using ten landslide conditioning factors, which included slope, aspect, elevation, curvature, land cover, geomorphology,… More >

  • Open Access

    ARTICLE

    Long-Term Follow-Up Study on Electrophysiology Guidance for Transcatheter Closure of Perimembranous Ventricular Septal Defect in Adults

    Wenrui Li1, Nanshan Xie1, Xianzhang Zhan1, Ziyang Yang2, Hezhi Li1, Caojin Zhang1,*

    Congenital Heart Disease, Vol.19, No.5, pp. 445-455, 2024, DOI:10.32604/chd.2024.053604 - 31 December 2024

    Abstract Objectives: To explore the feasibility and efficacy of electrophysiology guidance for transcatheter closure of perimembranous ventricular septal defect (PmVSD) in adults. Methods: Adult patients with PmVSD who underwent transcatheter in Guangdong Provincial People’s Hospital, Guangdong Cardiovascular Institute from February 2016 to January 2018 were selected. The distribution of the His-Purkinje system (HPS) close to the margins of PmVSD in the left ventricle was identified using three-dimensional (3D) electro-anatomic mapping and near-field HPS was further confirmed by different pacing protocols. The follow-up protocol included electrocardiogram (ECG)and transthoracic echocardiography at 6, 24, 72 h, 1, 3, 6… More >

  • Open Access

    PROCEEDINGS

    Investigation of the Effects of Bone Material Modelling Strategies on the Biomechanics of the Thoracolumbar Spine Using Finite Element Method

    Ching-Chi Hsu1,*, Hsin-Hao Lin1, Kao-Shang Shih2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.011792

    Abstract Decompression surgery is one of the useful methods to relieve the pressure on the spinal cord and nerves [1]. In computational simulation, various bone material modelling strategies have been used to model cortical bone and cancellous bone of spinal vertebrae [2,3]. However, the effects of the bone material modelling strategies on the biomechanics of the thoracolumbar spine are unclear. Thus, this study aimed to investigate the biomechanics of the thoracolumbar spine with various bone modelling strategies using a patient-specific finite element modelling technique.
    Three-dimensional finite element models of the human thoracolumbar spine were developed from the… More >

  • Open Access

    PROCEEDINGS

    Elastic Fields of Double Branched and Kalthoff-Winkler Cracks in a Half-Plane

    Yangjian Si1,2, Yujie Wei1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011974

    Abstract Edge cracking represents one of the most prominent damage modes in engineering practice and hence receives immense attention from academic societies. When branched cracks or multiple cracks are present at the edge, their propagation may be affected by the interaction between the cracks. In this talk, we may cover the elasticity of a cracked half-plane with two typical scenarios: a double branched crack with two rays emanating from one point on the edge and two edge cracks spaced by a certain distance (Kalthoff–Winkler cracks). By adopting the combination of the Schwartz-Christoffel conformal mapping and the… More >

  • Open Access

    ARTICLE

    Linkage Mapping and QTL Analysis of Isoflavones Composition in Soybean Seeds

    Songnan Yang1, Miao Zhang1, Rongrong Yao1, Liangyu Chen1, Weixuan Cong1, Dan Yao2, Jian Zhang1,3, Jun Zhang1,*, Xueying Li1,*

    Phyton-International Journal of Experimental Botany, Vol.93, No.9, pp. 2209-2225, 2024, DOI:10.32604/phyton.2024.055046 - 30 September 2024

    Abstract The high isoflavones content of soybeans is an important breeding goal due to the demonstrated benefits of isoflavones to human health and their association with plant resistance. In this study, quantitative trait loci (QTL) mapping for soybean isoflavone aglycones, including daidzin, glycerin, and genistin, and total isoflavones content was performed in a population of 178 F2:6 recombinant inbred lines (RILs) which was generated from a cross between varieties Jinong 17 and Jinong 18. A genetic linkage map covering 1248 cM was constructed using the simple sequence repeat (SSR) molecular markers. The results revealed 22 isoflavone-related QTLs,… More >

  • Open Access

    ARTICLE

    Fuzzy Machine Learning-Based Algorithms for Mapping Cumin and Fennel Spices Crop Fields Using Sentinel-2 Satellite Data

    Shilpa Suman1, Abhishek Rawat2,*, Anil Kumar3, S. K. Tiwari4

    Revue Internationale de Géomatique, Vol.33, pp. 363-381, 2024, DOI:10.32604/rig.2024.053981 - 18 September 2024

    Abstract In this study, the impact of the training sample selection method on the performance of fuzzy-based Possibilistic c-means (PCM) and Noise Clustering (NC) classifiers were examined and mapped the cumin and fennel rabi crop. Two training sample selection approaches that have been investigated in this study are “mean” and “individual sample as mean”. Both training sample techniques were applied to the PCM and NC classifiers to classify the two indices approach. Both approaches have been studied to decrease spectral information in temporal data processing. The Modified Soil Adjusted Vegetation Index 2 (MSAVI-2) and Class-Based Sensor… More >

  • Open Access

    ARTICLE

    Digital Soil Mapping (DSM) Using a GIS-Based RF Machine Learning Model: The Case of Strandzha Mountains (Thrace Peninsula, Türkiye)

    Emre Ozsahin1,*, Huseyin Sarı2, Duygu Boyraz Erdem2, Mikayil Ozturk2

    Revue Internationale de Géomatique, Vol.33, pp. 341-361, 2024, DOI:10.32604/rig.2024.054197 - 13 September 2024

    Abstract This study assessed and mapped the spatial distribution of soil types and properties developed under the forest cover of the Strandzha Mountains of Türkiye. The study was conducted on a micro-scale in the riparian zone of the Balaban River, which characterizes the soils distributed in the mountainous area. The effect of environmental factors on the spatial distribution of soil types and properties was also determined. To gather data, soil sampling, laboratory analysis, data processing and mapping were sequentially performed. These data were analyzed using the Geographical Information System (GIS) based Random Forest (RF) machine learning… More > Graphic Abstract

    Digital Soil Mapping (DSM) Using a GIS-Based RF Machine Learning Model: The Case of Strandzha Mountains (Thrace Peninsula, Türkiye)

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