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  1. 101

    Shearlet‐based compressed sensing with non‐local similarity for MRI breast image reconstruction by Xiaotao Shao, Caike Wei, Yi Xie, Zhongli Wang, Yan Shen

    Published 2021-12-01
    “…The non‐local similarity of an image is integrated to the model to preserve the lesion details of the reconstructed MRI images. …”
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    Article
  2. 102

    Spectral Quadratic Variation Regularized Autoweighted Tensor Ring Decomposition for Hyperspectral Image Reconstruction by Xinwei Wan, Dan Li, Fanqiang Kong, Yanyan Lv, Qiang Wang

    Published 2024-01-01
    “…The structure information of hyperspectral image (HSI) is well-characterized by tensors, surpassing the capabilities of traditional compressive sensing reconstruction models based on vectors and matrices. Tensor decomposition has been integrated with other regularizations in the model-based reconstruction algorithms to capture more priors. …”
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  3. 103

    Inversion model of stress state reconstruction for geological hazard pipelines based on digital twin by Xue Luning, Tian Mingliang, Zhao Juncheng

    Published 2025-07-01
    “…The mechanical state of the physical pipeline is mapped in real time by the digital twin, the numerical simulation and multi-source monitoring data are integrated, and the parameters of the twin model are dynamically optimized by combining the optimization algorithms of Particle Swarm Optimization (PSO) and Support Vector Machine (SVM), so as to realize the real-time prediction of the pipeline stress state and the dynamic updating of the disaster scenario. …”
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  4. 104

    Multi-Camera Hierarchical Calibration and Three-Dimensional Reconstruction Method for Bulk Material Transportation System by Chengcheng Hou, Yongfei Kang, Tiezhu Qiao

    Published 2025-03-01
    “…Additionally, a depth information fusion algorithm based on multi-epipolar geometric constraints improves reconstruction completeness through multi-view information integration. …”
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    Article
  5. 105

    Novel GSIP: GAN-based sperm-inspired pixel imputation for robust energy image reconstruction by Gamal M. Mahmoud, Wael Said, Magdy M. Fadel, Mostafa Elbaz

    Published 2025-01-01
    “…Our approach includes three essential modifications: (1) integration of an identity module within the GAN architecture to mitigate the vanishing gradient problem; (2) introduction of a metaheuristic algorithm based on sperm motility to select the top 10 pixels that most effectively contribute to the generation of the missing pixel; and (3) the implementation of an adaptive interval mechanism between the discriminator’s actual value and the weighted average of the selected pixels, enhancing the generator’s efficiency and ensuring the coherence of the imputed pixels with the surrounding image context. …”
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  6. 106

    Railway reconstruction from 3D point cloud using Deep Learning and Parametric Modeling by A. Yarroudh, A. Kharroubi, I. Jeddoub, Z. Ballouch, R. Billen

    Published 2024-12-01
    “…Rail reconstruction combines Region Growing and H-DBSCAN algorithms for clustering, vectorization for linear geometry extraction, and extension to ensure continuity despite gaps or noise in the data. …”
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  7. 107

    A new three-dimensional mesh modeling method for geological bodies containing complex faults in geological engineering by Wenli Gao, Xinming Lu, Shengzhe Hou, Tianyu Zhang, Wenting Liu

    Published 2025-05-01
    “…A model stitching strategy based on the ear clipping algorithm was proposed to incorporate fine fault models into the modified original model. …”
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    Article
  8. 108

    Vehicle Trajectory Reconstruction Method for Urban Arterial Roads Based on Multi-Source Data Fusion by Zhanhang Shi, Dong Guo, Lili Bian, Yvbin Liu, Bin Zhou, Feng Sun

    Published 2025-03-01
    “…To address this issue, this paper proposes a multi-source data fusion-based vehicle trajectory reconstruction method, which comprises vehicle trajectory state estimation and a self-optimization algorithm. …”
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  9. 109
  10. 110

    Edge_MVSFormer: Edge-Aware Multi-View Stereo Plant Reconstruction Based on Transformer Networks by Yang Cheng, Zhen Liu, Gongpu Lan, Jingjiang Xu, Ren Chen, Yanping Huang

    Published 2025-03-01
    “…This model integrates an edge detection algorithm to augment edge information as input to the network and introduces an edge-aware loss function to focus the network’s attention on a more accurate reconstruction of edge regions, where depth estimation errors are obviously more significant. …”
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  11. 111

    Particle algorithms for animal movement modelling in receiver arrays by Edward Lavender, Andreas Scheidegger, Carlo Albert, Stanisław W. Biber, Janine Illian, James Thorburn, Sophie Smout, Helen Moor

    Published 2025-08-01
    “…We introduce a Bayesian filtering–smoothing algorithm that reconstructs individual movements and patterns of space use from animal‐tracking data, with a focus on passive acoustic telemetry systems. …”
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  12. 112

    Plug-and-Play PRNU Enhancement Algorithm with Guided Filtering by Yufei Liu, Yanhui Xiao, Huawei Tian

    Published 2024-12-01
    “…Additionally, due to differing operational mechanisms, current mainstream PRNU enhancement algorithms cannot be integrated to improve their performance further. …”
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    Article
  13. 113

    Advanced Imaging and Preoperative MR-Based Cinematic Rendering Reconstructions for Neoplasms in the Oral and Maxillofacial Region by Adib Al-Haj Husain, Milica Stojicevic, Nicolin Hainc, Bernd Stadlinger

    Published 2024-12-01
    “…Conventional imaging, including dental magnetic resonance imaging (MRI) protocols, confirmed the lesion’s size, location, and benign nature. CR reconstructions, combining advanced algorithms and novel skin presets, allow for the generation of highly realistic, three-dimensional visualizations from conventional imaging datasets. …”
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  14. 114

    A reconstruction and recovery network-based channel estimation in high-speed railway wireless communications by Qingmiao Zhang, Yuhao Zhao, Hanzhi Dong, Junhui Zhao

    Published 2025-04-01
    “…The integration of high-speed railway communication systems with 5G technology is widely recognized as a significant development. …”
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  15. 115

    RLUNet: Overexposure-Content-Recovery-Based Single HDR Image Reconstruction with the Imaging Pipeline Principle by Yiru Zheng, Wei Wang, Xiao Wang, Xin Yuan

    Published 2024-12-01
    “…However, existing HDR image reconstruction algorithms often fail to recover fine details and do not adequately address the fundamental principles of the LDR imaging pipeline. …”
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  16. 116
  17. 117

    Non-Iterative Reconstruction and Selection Network-Assisted Channel Estimation for mmWave MIMO Communications by Jing Yang, Yabo Guo, Xinying Guo, Pengpeng Wang

    Published 2025-07-01
    “…Simulations show the NIRNet-based algorithm achieves a superior normalized mean squared error (NMSE) and an achievable sum rate (ASR) with lower complexity and reduced training overhead.…”
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  18. 118

    Evaluating the feasibility of 12-lead electrocardiogram reconstruction from limited leads using deep learning by Oriana Presacan, Alexandru Dorobanţiu, Jonas L. Isaksen, Tobias Willi, Claus Graff, Michael A. Riegler, Arun R. Sridhar, Jørgen K. Kanters, Vajira Thambawita

    Published 2025-04-01
    “…Abstract Background Wearables with integrated electrocardiogram (ECG) acquisition have made single-lead ECGs widely accessible to patients and consumers. …”
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  19. 119

    Real-Time Acoustic Holography for Target Pattern Acoustic Field Reconstruction With Iterative Unsupervised Learning by Minjie Ma, Xuewei Wang, Yang Li, Jia Wang

    Published 2025-01-01
    “…Conventional acoustic field reconstruction algorithms are limited in both speed and accuracy when generating acoustic holograms, which further constrains the practical applications of acoustic holography. …”
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  20. 120

    Study on the Relationship Between Porosity and Mechanical Properties Based on Rock Pore Structure Reconstruction Model by Nan Xiao, Jun-Qing Chen, Xiang Qiu, Fu Huang, Tong-Hua Ling

    Published 2025-06-01
    “…This investigation explores the relationship between pore structure parameters and mechanical characteristics through reconstructed numerical models. The study employs an integrated approach combining laboratory experiments and numerical simulations. …”
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