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    A deep learning-based reconstruction model for 3D sound speed field combining underwater vertical information by Hongchen Li, Yuhang Liu, Ming Li, Penghao Wang, Yuhang Zhu, Kefeng Mao, Xi Chen

    Published 2025-06-01
    “…The usual used single empirical orthogonal function (sEOF) method, which reconstructs sound speed profiles (SSP) by establishing statistical relationships between empirical orthogonal coefficients of SSP and sea surface environmental factors, may have several limitations: (1) The principal modes extracted by the EOF method may lose some sound speed information, resulting in low reconstruction accuracy; (2) The grid-by-grid inversion of SSP is computationally inefficient for acquiring large-scale 3D sound speed fields; (3) Oceanic dynamic activities cause disturbances in the sound speed field, and relying solely on sea surface environmental information can limit the accuracy of full-ocean-depth sound speed inversion.MethodIn this paper, we propose a region-oriented reconstruction model named 3dCNN-DEN for 3D sound speed fields using the Convolutional Neural Network (CNN). …”
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    Emerging Applications of Machine Learning in 3D Printing by Izabela Rojek, Dariusz Mikołajewski, Marcin Kempiński, Krzysztof Galas, Adrianna Piszcz

    Published 2025-02-01
    “…Recent advances in 3D printing enable scientists and engineers to create models with precisely controlled and complex microarchitecture, shapes, and surface finishes, including multi-material printing. …”
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  5. 25

    End of the world brane dynamics in holographic 4d N $$ \mathcal{N} $$ = 4 SU(N) with 3d N $$ \mathcal{N} $$ = 2 boundary conditions by Jesús Huertas, Angel M. Uranga

    Published 2025-01-01
    “…The systems have explicit gravity duals, given by orientifolds of the AdS4 × S 2 × S 2 fibrations over a Riemann surface dual to the Gaiotto-Witten setups. They describe solutions with an asymptotic AdS5 × S 5 terminating at AdS4 End of the World boundary configurations, whose rich dynamics reproduces the above physical properties. …”
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    Advances in materials and technologies for digital light processing 3D printing by Jisoo Nam, Miso Kim

    Published 2024-11-01
    “…The projection-based layer-by-layer deposition in DLP uses precise light control to cure photopolymer resin quickly, providing a smooth surface finish due to the uniform layer curing process. …”
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    The experimental model creation of a mobile ropeway by 3D-printing by Lagerev I.A., Tarichko V.I., Soldatchenkov S.P., Ignatov D.A.

    Published 2019-06-01
    “…The dynamic processes in the cable system are investigated by video fixation.…”
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  10. 30

    Classification-based point cloud denoising and 3D reconstruction of roadways by Denghong CHEN, Ning PANG, Wen NIE, Juqiang FENG, Jiliang KAN, Jinjing ZHANG

    Published 2025-05-01
    “…Therefore, the reconstructed model can meet the high-accuracy requirements of intelligent mine construction. This study will provide high-quality 3D data for the digital transformation and upgrading of mines, along with their intelligent and precise mining.…”
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    Research progress of mine 3D geological modeling: Principle, method and application by Cun ZHANG, Sheng JIA, Ye HUA, Qi SONG

    Published 2025-02-01
    “…These models can be divided into surface model, volume model and mixed model. According to the purpose and data source, it can also be subdivided into static model (structural model, stratigraphic model, attribute model) and dynamic model. …”
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    Constructing potassium and hydroxyl co-doped dual-dipole structures on highly active 3D g-C3N4 surfaces for highly boosting photocatalytic hydrogen peroxide production efficiency i... by Jiaxing Wu, Jiajie Yu, Fan Fan, Runhua Li, Mengxiang Wang, Gang Li, Yuting Wang, Yongpeng Cui, Daoqing Liu, Yajun Wang, Wenqing Yao

    Published 2025-09-01
    “…To address these issues, we have developed a novel catalyst, designated as KCNOH, which consists of a three-dimensional (3D) porous g-C3N4 framework doped with potassium (K+) and modified with surface hydroxyl groups (–OH). …”
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    Simulation Study of Ink Droplet Spraying Based on Sand 3D Printing by Hailong Song, Ran Yan, Lei Xia, Qing Zhao, Qing Qiu

    Published 2025-05-01
    “…Based on the results, appropriate ranges and recommended values for ink properties are determined. This study provides significant engineering value for improving the stability and precision of droplet formation in industrial sand mold 3D printing.…”
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    OpenThruster: An open-source, mostly 3D-printed thruster for marine vehicles by Milind Fernandes, Soumya Ranjan Sahoo, Mangal Kothari

    Published 2025-09-01
    “…This work presents the design, and an updated and expanded evaluation of the open-source OpenThruster project, with a focus on performance variability, fabrication methods, and dynamic modeling. OpenThruster is an open-source, low-cost, and mostly 3D-printed thruster for marine applications. …”
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    DEVELOPMENT AND CHARACTERISATION OF 3D SOLID TUMOUR CELL MODELS FOR INDIVIDUALIZED CANCER TREATMENT by A. B. Danilova, T. L. Nekhaeva, N. A. Efremova, M. A. Maydin, E. I. Fedoros, I. A. Baldueva

    Published 2021-10-01
    “…The use of low adhesion surfaces was proven to be preferable to obtain spheroids of a given seed concentration and size of interest. …”
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    Drone-based 3D High-resolution Imagery for Barrier Island in Nakdong River Estuary by Sung-Hwan Park, Nam-Hoon Kim, Jun-Yong Park, Eui-Young Jeong

    Published 2024-12-01
    “…This highresolution dataset provides crucial insights into geomorphological changes, coastal management, spatial variation of halophytes and marine environment monitoring, highlighting the effectiveness of drone-based techniques in capturing precise 3D data in dynamic, hard-to-reach environments.…”
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    Generation of Hydrogeological Units for 3D Modelling Using Open‐Source Tools in the Mexico Basin by Juan Camilo Montaño‐Caro, Oscar Escolero‐Fuentes, Eric Morales‐Casique

    Published 2025-04-01
    “…Hosted on open‐source repositories, the data can be easily adapted for use in 3D modelling frameworks like GemPy and FloPy. This dataset is a valuable resource for understanding groundwater dynamics in the Mexico Basin and offers flexibility for future updates as new data become available or project needs evolve.…”
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