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    CNN based 2D object detection techniques: a review by Badri Raj Lamichhane, Gun Srijuntongsiri, Teerayut Horanont

    Published 2025-04-01
    “…This study provides a comprehensive review and evaluation of CNN-based object detection techniques, emphasizing the advancements in deep learning that have significantly improved model performance. …”
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    A SURVEY OF AI IMAGING TECHNIQUES FOR COVID-19 DIAGNOSIS AND PROGNOSIS by KK Praneeth Tellakula, Saravana Kumar R, Sanjoy Deb

    Published 2021-06-01
    “…Radiological imaging in chest such as computed tomography (CT) has been instrumental in the diagnosis and evaluation of the lung infection which is the common indication in COVID-19 infected patients. …”
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    Connectome-based biophysical models of pathological protein spreading in neurodegenerative diseases. by Peng Ren, Xuehua Cui, Xia Liang

    Published 2025-01-01
    “…To elucidate this dynamic process in vivo from a computational perspective, researchers have proposed three connectome-based biophysical models to simulate the spread of pathological proteins: the Network Diffusion Model, the Epidemic Spreading Model, and the agent-based Susceptible-Infectious-Removed model. …”
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    Exploring the impact of fixed theta values in RoPE on character-level language model performance and efficiency by Zhigao Huang, Musheng Chen, Shiyan Zheng

    Published 2025-08-01
    “…This paper presents a systematic evaluation of RoPE with fixed theta values (ranging from 500 to 50,000) on a character-level GPT model across three datasets: Tiny Shakespeare, Enwik8, and Text8, compared against the standard θ = 10, 000 baseline. …”
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