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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

    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

    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 Access

    REVIEW

    Development and application prospect of stem cell combined with 3D printing technology for oral disease

    YIXIAN YOU1,3,#, YIHUNG LEE2,#, YUSHIN HU2, YOUHUI XU3, JOUCHEN CHEN2, WEI JIANG1, CHANGHAI LIU1, ENQIANG CHEN1, HONG TANG1, HUA ZHANG4,*, DONGBO WU1,*

    BIOCELL, Vol.49, No.1, pp. 45-59, 2025, DOI:10.32604/biocell.2024.057259 - 24 January 2025

    Abstract With organ transplantation facing many dilemmas, tissue and organ regeneration as an alternative has bright prospects. In regenerative medicine, Three-dimensional (3D) printing technology and stem cells has been widely applied to the treatment of diseases related to tissue or organ replacement in dentistry, respectively. However, there are very few studies on the combination of the two, and even fewer clinical studies have been reported in dentistry. In this review, the current oral tissue engineering in vivo and in vitro based on 3D printing and stem cell technology will be summarized, and the discussion on the development… More >

  • Open Access

    ARTICLE

    Pothole Detection Based on UAV Photogrammetry

    Muhammad Aliff Haiqal Darmawan1, Shahrul Nizan Abd Mukti2, Khairul Nizam Tahar1,*

    Revue Internationale de Géomatique, Vol.34, pp. 21-35, 2025, DOI:10.32604/rig.2024.057266 - 13 January 2025

    Abstract Potholes are the most prevalent type of structural defect found on roads, caused by aging infrastructure, heavy rains, heavy traffic, thin or weak substructures, and other factors. Regular assessment of road conditions is essential for maintaining and improving road networks. Current techniques for identifying potholes on urban roadways primarily rely on public reporting, such as hotlines or social networking websites, which are both time-consuming and inefficient. This study aims to detect potholes using Unmanned Aerial Vehicles (UAVs) images, enabling accurate analysis of their size, shape, and location, thereby enhancing detection efficiency compared to conventional methods.… More >

  • Open Access

    ARTICLE

    3D Reconstruction for Early Detection of Liver Cancer

    Rana Mohamed1,2,*, Mostafa Elgendy1, Mohamed Taha1

    Computer Systems Science and Engineering, Vol.49, pp. 213-238, 2025, DOI:10.32604/csse.2024.059491 - 10 January 2025

    Abstract Globally, liver cancer ranks as the sixth most frequent malignancy cancer. The importance of early detection is undeniable, as liver cancer is the fifth most common disease in men and the ninth most common cancer in women. Recent advances in imaging, biomarker discovery, and genetic profiling have greatly enhanced the ability to diagnose liver cancer. Early identification is vital since liver cancer is often asymptomatic, making diagnosis difficult. Imaging techniques such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT), and ultrasonography can be used to identify liver cancer once a sample of liver tissue is… More >

  • Open Access

    ARTICLE

    Hourglass-GCN for 3D Human Pose Estimation Using Skeleton Structure and View Correlation

    Ange Chen, Chengdong Wu*, Chuanjiang Leng

    CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 173-191, 2025, DOI:10.32604/cmc.2024.059284 - 03 January 2025

    Abstract Previous multi-view 3D human pose estimation methods neither correlate different human joints in each view nor model learnable correlations between the same joints in different views explicitly, meaning that skeleton structure information is not utilized and multi-view pose information is not completely fused. Moreover, existing graph convolutional operations do not consider the specificity of different joints and different views of pose information when processing skeleton graphs, making the correlation weights between nodes in the graph and their neighborhood nodes shared. Existing Graph Convolutional Networks (GCNs) cannot extract global and deep-level skeleton structure information and view… More >

  • Open Access

    REVIEW

    Three-dimensional models: from cell culture to Patient-Derived Organoid and its application to future liposarcoma research

    SAYUMI TAHARA1, SYDNEY RENTSCH1, FERNANDA COSTAS CASAL DE FARIA1, PATRICIA SARCHET1, ROMA KARNA1, FEDERICA CALORE2,*, RAPHAEL E. POLLOCK1

    Oncology Research, Vol.33, No.1, pp. 1-13, 2025, DOI:10.32604/or.2024.053635 - 20 December 2024

    Abstract Liposarcoma is one of the most common soft tissue sarcomas, however, its occurrence rate is still rare compared to other cancers. Due to its rarity, in vitro experiments are an essential approach to elucidate liposarcoma pathobiology. Conventional cell culture-based research (2D cell culture) is still playing a pivotal role, while several shortcomings have been recently under discussion. In vivo, mouse models are usually adopted for pre-clinical analyses with expectations to overcome the issues of 2D cell culture. However, they do not fully recapitulate human dedifferentiated liposarcoma (DDLPS) characteristics. Therefore, three-dimensional (3D) culture systems have been the recent… More >

  • Open Access

    ARTICLE

    Transforming Education with Photogrammetry: Creating Realistic 3D Objects for Augmented Reality Applications

    Kaviyaraj Ravichandran*, Uma Mohan*

    CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 185-208, 2025, DOI:10.32604/cmes.2024.056387 - 17 December 2024

    Abstract Augmented reality (AR) is an emerging dynamic technology that effectively supports education across different levels. The increased use of mobile devices has an even greater impact. As the demand for AR applications in education continues to increase, educators actively seek innovative and immersive methods to engage students in learning. However, exploring these possibilities also entails identifying and overcoming existing barriers to optimal educational integration. Concurrently, this surge in demand has prompted the identification of specific barriers, one of which is three-dimensional (3D) modeling. Creating 3D objects for augmented reality education applications can be challenging and… More > Graphic Abstract

    Transforming Education with Photogrammetry: Creating Realistic 3D Objects for Augmented Reality Applications

  • Open Access

    ARTICLE

    Research on Substation Siting Based on a 3D GIS Platform and an Improved BP Neural Network

    Yao Jin1,2,*, Jie Zhao1,2, Xiaozhe Tan1,2, Linghou Miao1,2, Wenxing Yu1,2

    Digital Engineering and Digital Twin, Vol.2, pp. 131-144, 2024, DOI:10.32604/dedt.2024.048142 - 31 December 2024

    Abstract Substation siting is an important foundation and a key task in power system planning. The article is based on a three-dimensional GIS platform combined with an improved BP neural network algorithm and proposes a substation siting method that is more efficient, accurate and provides a better user experience. Firstly, the BP algorithm is enhanced to improve its convergence speed and computational efficiency for a more accurate and reasonable calculation of optimal site selection. Then, a 24-item selection index system with 7 categories is proposed, which provides quantifiable data support and an evaluation basis for substation… 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 >

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