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  • Open Access

    ARTICLE

    Optimizing Computed Tomography Processing Parameters for Accurate Detection of Internal Defects in Reinforced Concrete

    Yueshun Chen1,2,*, Yupeng Zhou1, Cao Yin3

    Structural Durability & Health Monitoring, Vol.19, No.3, pp. 575-592, 2025, DOI:10.32604/sdhm.2024.057005 - 03 April 2025

    Abstract Computed tomography (CT) can inspect the internal structure of concrete with high resolution, but improving the accuracy of measurements remains a key challenge due to the reliance on complex image processing and significant manual intervention. This study aims to optimize CT scanning parameters to enhance the accuracy of measuring crack widths and rebar volumes in reinforced concrete. Nine sets of specimens, each with varying rebar diameters and concrete cover thicknesses, were scanned before and after corrosion using an Optima CT scanner, followed by three-dimensional reconstructions using Avizo software. The effects of threshold values and “Erosion” More >

  • Open Access

    ARTICLE

    3D Printed PEDOT:PSS Flexible Electrochromic Devices for Patterned Displays

    Manting Song1,2, Changchen Gong1,3, Ximei Liu1,2,*

    Journal of Polymer Materials, Vol.42, No.1, pp. 111-123, 2025, DOI:10.32604/jpm.2024.057957 - 27 March 2025

    Abstract Flexible electrochromic devices (FECDs) demonstrate significant potential for applications in wearable electronics, military camouflage, and flexible smart displays. As a crucial electrochromic material, poly(3,4-ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS) is widely used in FECDs due to its excellent mechanical flexibility, tunable conductivity, and non-toxicity. However, the manufacturing process for patterned PEDOT:PSS electrochromic devices remains intricate, costly, and challenging to personalize. To address this challenge, we have developed a 3D-printable ink with controllable rheological properties through a concentration-tuning strategy, enabling programmable, patterned printing of PEDOT-based conductive polymer electrochromic layers. The 3D-printed FECDs exhibit outstanding electrochromic performance, including a high More >

  • Open Access

    ARTICLE

    YOLO-S3DT: A Small Target Detection Model for UAV Images Based on YOLOv8

    Pengcheng Gao*, Zhenjiang Li

    CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4555-4572, 2025, DOI:10.32604/cmc.2025.060873 - 06 March 2025

    Abstract The application of deep learning for target detection in aerial images captured by Unmanned Aerial Vehicles (UAV) has emerged as a prominent research focus. Due to the considerable distance between UAVs and the photographed objects, coupled with complex shooting environments, existing models often struggle to achieve accurate real-time target detection. In this paper, a You Only Look Once v8 (YOLOv8) model is modified from four aspects: the detection head, the up-sampling module, the feature extraction module, and the parameter optimization of positive sample screening, and the YOLO-S3DT model is proposed to improve the performance of More >

  • Open Access

    ARTICLE

    Drone-Based Public Surveillance Using 3D Point Clouds and Neuro-Fuzzy Classifier

    Yawar Abbas1, Aisha Ahmed Alarfaj2, Ebtisam Abdullah Alabdulqader3, Asaad Algarni4, Ahmad Jalal1,5, Hui Liu6,*

    CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 4759-4776, 2025, DOI:10.32604/cmc.2025.059224 - 06 March 2025

    Abstract Human Activity Recognition (HAR) in drone-captured videos has become popular because of the interest in various fields such as video surveillance, sports analysis, and human-robot interaction. However, recognizing actions from such videos poses the following challenges: variations of human motion, the complexity of backdrops, motion blurs, occlusions, and restricted camera angles. This research presents a human activity recognition system to address these challenges by working with drones’ red-green-blue (RGB) videos. The first step in the proposed system involves partitioning videos into frames and then using bilateral filtering to improve the quality of object foregrounds while… More >

  • Open Access

    ARTICLE

    Point-Based Fusion for Multimodal 3D Detection in Autonomous Driving

    Xinxin Liu, Bin Ye*

    Computer Systems Science and Engineering, Vol.49, pp. 287-300, 2025, DOI:10.32604/csse.2025.061655 - 20 February 2025

    Abstract In the broader field of mechanical technology, and particularly in the context of self-driving vehicles, cameras and Light Detection and Ranging (LiDAR) sensors provide complementary modalities that hold significant potential for sensor fusion. However, directly merging multi-sensor data through point projection often results in information loss due to quantization, and managing the differing data formats from multiple sensors remains a persistent challenge. To address these issues, we propose a new fusion method that leverages continuous convolution, point-pooling, and a learned Multilayer Perceptron (MLP) to achieve superior detection performance. Our approach integrates the segmentation mask with… More >

  • Open Access

    ARTICLE

    Vector Extraction from Design Drawings for Intelligent 3D Modeling of Transmission Towers

    Ziqiang Tang1, Chao Han1, Hongwu Li1, Zhou Fan1, Ke Sun1, Yuntian Huang1, Yuhang Chen2, Chenxing Wang2,*

    CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2813-2829, 2025, DOI:10.32604/cmc.2024.059094 - 17 February 2025

    Abstract Accurate vector extraction from design drawings is required first to automatically create 3D models from pixel-level engineering design drawings. However, this task faces the challenges of complicated design shapes as well as cumbersome and cluttered annotations on drawings, which interfere with the vector extraction heavily. In this article, the transmission tower containing the most complex structure is taken as the research object, and a semantic segmentation network is constructed to first segment the shape masks from the pixel-level drawings. Preprocessing and postprocessing are also proposed to ensure the stability and accuracy of the shape mask… More >

  • Open Access

    ARTICLE

    Study on the Fluid-Solid Coupling Seepage of the Deep Tight Reservoir Based on 3D Digital Core Modeling

    Haijun Yang1,2,*, Zhenzhong Cai1,2, Hui Zhang1,2, Chong Sun1,2, Jing Li3,*, Xiaoyu Meng3, Chen Liu4, Chengqiang Yang3

    Energy Engineering, Vol.122, No.2, pp. 537-560, 2025, DOI:10.32604/ee.2024.058747 - 31 January 2025

    Abstract Deep tight reservoirs exhibit complex stress and seepage fields due to varying pore structures, thus the seepage characteristics are significant for enhancing oil production. This study conducted triaxial compression and permeability tests to investigate the mechanical and seepage properties of tight sandstone. A digital core of tight sandstone was built using Computed Tomography (CT) scanning, which was divided into matrix and pore phases by a pore equivalent diameter threshold. A fluid-solid coupling model was established to investigate the seepage characteristics at micro-scale. The results showed that increasing the confining pressure decreased porosity, permeability, and flow 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

    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 >

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