Showing 1 - 20 results of 274 for search '(( tracking model decrease ) OR ( ai ((large decrease) OR (marked decrease)) ))', query time: 0.32s Refine Results
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    Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

    Published 2025
    “…<p>This study explores the use of pre-trained language models (PLMs) in tracking priming treatment induced language recovery in aphasia. …”
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    Data Sheet 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

    Published 2025
    “…<p>This study explores the use of pre-trained language models (PLMs) in tracking priming treatment induced language recovery in aphasia. …”
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    Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

    Published 2025
    “…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”
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    Regression estimates: Double threshold model. by Getachew Magnar Kitila (19935139)

    Published 2024
    “…Moreover, the findings divulge that openness to trade indirectly reduces CO2 emissions through the substitution and technology channels whereas it indirectly increases carbon dioxide production via the economic track. Therefore, it is vital to promote the use of renewable energy, effectively leverage the knowledge spillover effects of trade to decrease energy intensity and formulate pertinent policies aimed at curbing carbon emissions and addressing the imminent threat of climate change in Africa. …”
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    The performance of YOFGD model on MOT16. by Wenshun Sheng (21485393)

    Published 2025
    “…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
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    The performance of S-YOFEO model on MOT17. by Wenshun Sheng (21485393)

    Published 2025
    “…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
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    The performance of S-YOFEO model on MOT16. by Wenshun Sheng (21485393)

    Published 2025
    “…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
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    A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

    Published 2025
    “…However, this model can be time-consuming and can only represent a single vessel track. …”
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    Reconciling a Kinetic Model for Dimerization of the EGFR Using Single-Molecule Tracking in Living Cells by Kiwook Kim (756439)

    Published 2025
    “…In this study, we investigated EGFR dimerization kinetics using ensemble-level biochemical assays and single-molecule tracking (SMT) in living cells. Our findings revealed noncanonical negative cooperative dimerization, where the monomer-to-dimer transition rate decreased as EGFR expression increased, challenging the assumptions of a simplistic reaction model. …”