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  1. 26601

    Remaining Useful Life Prediction Method for Bearings Based on Pruned Exact Linear Time State Segmentation and Time–Frequency Diagram by Xu Wei, Jingjing Fan, Huahua Wang, Lulu Cai

    Published 2025-03-01
    “…Experiments conducted on a publicly available dataset and comparisons with traditional methods demonstrate that the proposed method offers significant advantages in terms of prediction accuracy, computational efficiency, and robustness, making it more suitable for bearing health assessment and RUL prediction under complex working conditions.…”
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    Article
  2. 26602

    brain2print AI powered web tool for creating 3D printable brain models by Christopher Rorden, Matthew McCormick, Taylor Hanayik, Mohamed Masoud, Sergey M. Plis

    Published 2025-05-01
    “…This approach not only simplifies the process but also safeguards user privacy by keeping all data on local hardware.…”
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    Article
  3. 26603

    A machine learning based classifier for topological quantum materials by Ashiqur Rasul, Md Shafayat Hossain, Ankan Ghosh Dastider, Himaddri Roy, M. Zahid Hasan, Quazi D. M. Khosru

    Published 2024-12-01
    “…A major bottleneck in this field is the computational resources and time complexity related to finding new materials from ab initio calculations. …”
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    Article
  4. 26604

    Effective Barrage Noise Jamming for Spotlight SAR Using Extended Kalman Filter-Based Kinematic Parameter Estimation by Haemin Lee, Ki-Wan Kim

    Published 2023-01-01
    “…We also specified the kinematic parameters required to compute the jamming model, and derived the model to estimate them using EKF. …”
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    Article
  5. 26605

    Application of three-dimensional (3D) hand–eye calibration of industrial robot in laser cladding repair for drilling bit by J. Wang, Z. Mo, J. Wang, W. Pan

    Published 2025-04-01
    “…<p>In this paper, an entire process of laser cladding repair for damaged polycrystalline diamond compact (PDC) bits of high value based on a dual-robot system is proposed. …”
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    Article
  6. 26606

    Machine Learning‐Enhanced Nanoparticle Design for Precision Cancer Drug Delivery by Qingquan Wang, Yujian Liu, Chenchen Li, Bin Xu, Shidang Xu, Bin Liu

    Published 2025-08-01
    “…Recent advancements in Machine Learning (ML) and computational methods have shown great promise for precision cancer drug delivery. …”
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    Article
  7. 26607

    Rapid analysis of temperature fields in electronic enclosures based on the finite difference thermal resistance network method by Xiaoyue Zhang, Yinmo Xie, Bing Liu, Yingze Meng, Kewei Sun, Guangsheng Wu, Jianyu Tan

    Published 2025-01-01
    “…With the accelerated pace of functional updates and iteration in electronic enclosures design, the thermal design cycle is continuously shortened. However, the computational process of numerical simulation methods based on the finite element method (FEM) and finite volume method (FVM) is time-consuming, which limits the speed of product development. …”
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    Article
  8. 26608

    Data-Driven Sensitivity Analysis of the Influence of Geometric Parameterized Variables on Flow Fields Under Different Design Spaces by Xiaoyu Xu, Hongbo Chen, Chenliang Zhang, Yanhui Duan, Guangxue Wang

    Published 2024-11-01
    “…In aerodynamic shape optimization, geometric parameterized variables have a significant impact on the flow field, thereby influencing both the effectiveness and efficiency of the optimization process. This paper utilizes flow field data from computational fluid dynamics (CFD) to develop a data-driven approach for analyzing the influence of geometric parameterized variables on the objective function and flow field across various design spaces. …”
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    Article
  9. 26609

    A Novel THz Differential Spectral Clustering Recognition Method Based on t-SNE by Tie-Jun Li, Chih-Cheng Chen, Jian-jun Liu, Gui-fang Shao, Christopher Chun Ki Chan

    Published 2020-01-01
    “…Second, we improve computation efficiency by mapping spectrum data samples from high-dimensional space to low-dimensional space by the use of a manifold learning algorithm (t-SNE). …”
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    Article
  10. 26610

    A Tractable Approximation for Evaluating the Performance of Slow Fluid Antenna Multiple Access by Jose David Vega-Sanchez, Henry Ramiro Carvajal Mora, Nathaly Veronica Orozco Garzon, Diana Pamela Moya Osorio

    Published 2025-01-01
    “…Consequently, in fluid antenna multiple access (FAMA), each user finds the best port in space that maximizes the signal-to-noise-interference over all the ports, allowing many more users to share the same radio channel without demanding involved signal processing. This paper concentrates on the practical version of FAMA, called slow FAMA (s-FAMA), where the fluid antenna of each user updates its best port only if the fading channel changes. …”
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  11. 26611

    Data Acquisition System for a Hydroelectric Turbine with Deformable Blades by A. Bogorin-Predescu, S. Titu, A.M. Titu

    Published 2024-12-01
    “…This information is collected from the generator of the hydroelectric turbine through transducer elements into digital signals, is encoded and transmitted wirelessly to the receiver located on the shore, decoded, and then processed in real time and displayed on the monitor screen of a computer system in order to make decisions when the situation requires it. …”
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  12. 26612

    Optimization Study of Rare Earth-Free Metal Amorphous Nanocomposite Axial Flux-Switching Permanent Magnet Motor by Kyle P. Schneider, Satoru Simizu, Michael E. McHenry, Maarten P. de Boer

    Published 2025-01-01
    “…However, they have not been widely used in electric motors largely due to a lack of demonstrated manufacturing processing methods and an absence of proven motor designs well suited for their use. …”
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  13. 26613

    On the Nucleation Rate of Confinement-Induced Liquidlike-to-Solidlike Phase Transitions by Rong-Guang Xu, Gunan Zhang, Tianchen Liu, Yuan Xiang, Yongsheng Leng

    Published 2024-11-01
    “…The confinement-induced liquidlike-to-solidlike phase transition is a well-documented phenomenon observed in both experimental and computational settings. In order to better understand the kinetics and thermodynamics of this process, this study uses molecular dynamics (MD) simulations employing four different methods to examine the nucleation rate of crystalline argon from a confined liquidlike state between two solid walls. …”
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  14. 26614

    The soft liquid metal-based pressure sensor based on resistance-capacitance coupling by Kang Sun, Xinxin Zhang, Shuting Liang, Liangtao Li, Caicai Jiao, Qian Wang, Wuliang Chen, Liang Hu, Yubo Fan

    Published 2025-06-01
    “…With the rapid development of the intelligent technology, flexible sensors have widely applied in wearable electronic products, human-computer interaction, soft robots, health care and other emerging fields. …”
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  15. 26615
  16. 26616
  17. 26617
  18. 26618

    Deep learning classification integrating embryo images with associated clinical information from ART cycles by Mohamed Salih, Christopher Austin, Krishna Mantravadi, Eva Seow, Sutthipat Jitanantawittaya, Sandeep Reddy, Beverley Vollenhoven, Hamid Rezatofighi, Fabrizzio Horta

    Published 2025-05-01
    “…Abstract An advanced Artificial Intelligence (AI) model that leverages cutting-edge computer vision techniques to analyse embryo images and clinical data, enabling accurate prediction of clinical pregnancy outcomes in single embryo transfer procedures. …”
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    Article
  19. 26619
  20. 26620

    Combining OBIA, CNN, and UAV imagery for automated detection and mapping of individual olive trees by Oumaima Ameslek, Hafida Zahir, Hanane Latifi, El Mostafa Bachaoui

    Published 2024-12-01
    “…The identification of individual trees is an important research topic in forestry, remote sensing and computer vision. It represents a tool for effectively and efficiently managing and maintaining forests and orchards. …”
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