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  1. 641

    Relation Learning Using Temporal Episodes for Motor Imagery Brain-Computer Interfaces by Xiuyu Huang, Shuang Liang, Yuanpeng Zhang, Nan Zhou, Witold Pedrycz, Kup-Sze Choi

    Published 2023-01-01
    “…For practical motor imagery (MI) brain-computer interface (BCI) applications, generating a reliable model for a target subject with few MI trials is important since the data collection process is labour-intensive and expensive. …”
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  2. 642

    Unpacking research on computational thinking in mathematics education: A systematic literature review by Cut Morina Zubainur, Cut Rina Rossalina, Muhammad Subianto, Dwi Fadhiliani

    Published 2025-05-01
    “… Computational Thinking (CT) is an essential 21st-century skill to prepare students for higher education and future careers. …”
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  3. 643

    Brain Computer Interface using Genetic Algorithm with modified Genome and Phenotype Structures by Rohtash Dhiman, A Anshul

    Published 2023-08-01
    “…The human machine interface research in the light of modern fast computers and advanced sensors is taking new heights. …”
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  4. 644

    A study on determination of an optimized detector for single photon emission computed tomography by Mohammad Khoshakhlagh, Jalil Islamian, Mohammad Abedi, Babak Mahmoudian, Ali Mardanshahi

    Published 2016-01-01
    “…The detector is a critical component of the single photon emission computed tomography (SPECT) imaging system for giving accurate information from the exact pattern of radionuclide distribution in the target organ. …”
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  5. 645

    Utility of computed tomography in children’s ankle fractures from classification to surgical planning by Cristian Aletto, Martina Marsiolo, Michela Florio, Angelo Gabriele Aulisa, Renato Maria Toniolo, Francesco Falciglia, Nicola Maffulli

    Published 2025-07-01
    “…Plain radiographs provide sufficient information for the diagnosis, but computed tomography (CT) can help to study the configuration of fracture and to plan fixation. …”
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    Representational models: A common framework for understanding encoding, pattern-component, and representational-similarity analysis. by Jörn Diedrichsen, Nikolaus Kriegeskorte

    Published 2017-04-01
    “…Representational models specify how activity patterns in populations of neurons (or, more generally, in multivariate brain-activity measurements) relate to sensory stimuli, motor responses, or cognitive processes. …”
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