Showing 1,661 - 1,680 results of 29,852 for search '(process OR processes) (computing)', query time: 0.28s Refine Results
  1. 1661

    Boost Cyclone Intensity Estimation via Processing Motion Information and Embedding Rotation Invariance by Xiaoping Cheng, Xinxin Kong, Jianfang Fei, Xiaogang Huang

    Published 2025-01-01
    “…In the motion information processing module, we employ a dual-branch design. One branch directly processes motion information from the pixel space, while the other branch first computes motion matrices between different time steps to map the features from the pixel space to the motion space, then cascades multiple downsampling modules for encoding and compressing the information. …”
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  2. 1662

    Industrial 300 mm wafer processed spin qubits in natural silicon/silicon-germanium by Thomas Koch, Clement Godfrin, Viktor Adam, Julian Ferrero, Daniel Schroller, Noah Glaeser, Stefan Kubicek, Ruoyu Li, Roger Loo, Shana Massar, George Simion, Danny Wan, Kristiaan De Greve, Wolfgang Wernsdorfer

    Published 2025-04-01
    “…In addition to scalability, the high reproducibility of the 300 mm processes enables the deterministic study of qubit metric dependencies on process parameters, which is essential for optimising qubit quality.…”
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  3. 1663

    Signal-piloted processing and machine learning based efficient power quality disturbances recognition. by Saeed Mian Qaisar

    Published 2021-01-01
    “…Based on the conventional processing theory, the existing PQDs identification is time-invariant. …”
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  4. 1664

    DETERMINING THE EFFECTIVENESS OF CONCURRENT ENGINEERING THROUGH THE ANALYTICAL HIERARCHY PROCESSING OF PROJECT SUCCESS CRITERIA by N.A Aniekwu, A.C. Igboanugo, M.K. Onifade

    Published 2013-12-01
    “…Using the Analytical Hierarchy Process (AHP) model, these project success criteria were used as the primary criteria, along with its sub-criteria, to calculate the Eigenvectors, in order to synthesize a pair-wise comparison matrix of the criteria. …”
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  10. 1670

    HUMAN BODY ANTHROPOMORPHIC PHANTOM UTILISATION FOR THE COMPLEX TESTING OF RADIATION THERAPY TECHNOLOGICAL PROCESS by Y. I. Holdman, E. V. Titovich

    Published 2019-12-01
    “…The result of this work is the creation of the modified anthropomorphic phantom for precision dosimetric measurements, designed for testing the following technological procedures of the radiation therapy process: a computer tomography acquisition; a computerized treatment planning system, including a contouring module and dose distribution calculation algorithm; imaging systems integrated with radiation treatment units; dosimetric and technical characteristics of the radiation treatment units. …”
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  11. 1671

    Surface molecular engineering to enable processing of sulfide solid electrolytes in humid ambient air by Mengchen Liu, Jessica J. Hong, Elias Sebti, Ke Zhou, Shen Wang, Shijie Feng, Tyler Pennebaker, Zeyu Hui, Qiushi Miao, Ershuang Lu, Nimrod Harpak, Sicen Yu, Jianbin Zhou, Jeong Woo Oh, Min-Sang Song, Jian Luo, Raphaële J. Clément, Ping Liu

    Published 2025-01-01
    “…However, their hypersensitivity to moisture requires processing environments that are not compatible with today’s lithium-ion battery manufacturing infrastructure. …”
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  12. 1672

    Discovery and expansion of gene modules by seeking isolated groups in a random graph process. by Jochen Brumm, Elizabeth Conibear, Wyeth W Wasserman, Jennifer Bryan

    Published 2008-01-01
    “…Then, the observed gene-gene relationship ranks are viewed as the outcome of a random graph process and candidate modules are given by the identifiable subgraphs that arise during this process. …”
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  13. 1673

    Spectral feature modeling with graph signal processing for brain connectivity in autism spectrum disorder by Ayesha Jabbar, Huang Jianjun, Muhammad Kashif Jabbar, Khalil ur Rehman, Anas Bilal

    Published 2025-07-01
    “…To overcome these limitations, we propose a Graph Signal Processing (GSP)-based framework that integrates spectral-domain features with topological descriptors to model brain connectivity more comprehensively. …”
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  14. 1674

    Innovation in Manufacturing Within the Digital Intelligence Context: Examining Faultlines Through Information Processing by Kangli Zhang, Jinwei Zhu

    Published 2025-04-01
    “…As the cornerstone of decision-making, the information-processing capability of top management teams plays an essential role in driving organizational success. …”
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  15. 1675

    Optimisation of Aluminium Alloy Variable Diameter Tubes Hydroforming Process Based on Machine Learning by Yong Xu, Xuewei Zhang, Wenlong Xie, Shihong Zhang, Yaqiang Tian, Liansheng Chen

    Published 2025-05-01
    “…The model allows effective prediction of the hydroforming effect of aluminium alloy variable diameter tubes and improves the computational rate and model accuracy of the model. The same process parameters are experimentally verified, the minimum wall thickness of the formed part is 1.27 mm, the maximum wall thickness is 1.53 mm, and the maximum expansion height is 5.11 mm. …”
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  16. 1676

    Combustion Process of Coal–Açai Seed Mixtures in a Circulating Fluidized Bed Boiler by Gabriel C. P. Soares, João V. R. Moreira, Fernando H. B. Santos, Danielle R. S. Guerra, Manoel F. M. Nogueira

    Published 2024-09-01
    “…This study investigates the effects of the co-combustion of coal and açai seed in circulating fluidized bed (CFB) boilers, highlighting the increase in thermal efficiency and relevance of a less-polluting source of energy. Using the computer software 1.5D CeSFaMB™<sup>®</sup> v4.3.0, simulations of the co-combustion process of coal and biomass were carried out in a CFB boiler, obtaining results such as the temperature profile, boiler efficiency and emissions. …”
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    Effective least squares approximation method for estimating the rhythm function of cyclic random process by Serhii Lupenko, Małgorzata Wiatr, Andrzej Metelski

    Published 2025-02-01
    “…Abstract The work is devoted to a problem of the rhythm function estimation of a cyclic random process, which is based on the least squares approximation methods instead of well-known interpolation approach. …”
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