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Showing 201 - 209 results of 209 for search '(( significant arts based ) OR ( significant ((gap decrease) OR (mean decrease)) ))', query time: 0.08s Refine Results
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    Binary-NeRV: Hybrid-Precision Weights Binarization for Efficient Neural Video Representation by Shanableh, Tamer

    Published 2026
    “…In this work, we propose Binary-NeRV, a hybrid-precision extension of NeRV that integrates XNOR-based binary convolutions into the decoding pipeline to significantly reduce model size, bitrate, and computational complexity while reasonably preserving reconstruction fidelity. …”
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  3. 203

    AI-powered malware detection with Differential Privacy for zero trust security in Internet of Things networks by Faria Nawshin (21841598)

    Published 2024
    “…Furthermore, our proposed feature selection pipeline enables us to outperform the state-of-the-art by significantly reducing the number of selected features and training time while improving accuracy. …”
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    Finding novel targets for the treatment and reversal of type 2 diabetes mellitus and obesity by Imran Ramzan (15430807)

    Published 2023
    “…Individually, both valine (245 ± 33 to 105 ± 23 µmol/L; p < 0.0001), and leucine (130 ± 20 to 75 ± 13 µmol/L; p < 0.05), decreased significantly in response to the BCAA-restricted diet. …”
  7. 207

    Wound healing potential of quercetin-3-O-rhamnoside and myricetin-3-O-rhamnoside isolated from Pistacia lentiscus distilled leaves in rats model by Wiem Elloumi (17148337)

    Published 2022
    “…Moreover, the cutaneous wound tissues treated with PDL 20, MM, and QM exhibited significantly higher hydroxyproline content than the negative control group, which means a high collagen biosynthesis in wound tissues. …”
  8. 208

    Pharmacist Role in Hypertension Management in the Community Setting: Questionnaire Development, Validation, and Application by Lama Soubra (11666333)

    Published 2023
    “…Patient satisfaction from the provided interventions/services was determined by means of an overall rating. The correlation between practiced roles and patient satisfaction with received interventions/services was determined.…”
  9. 209

    Artificial Intelligence Frameworks for Sentiment Variations’ Reasoning and Emerging Topic Detection by ALATTAR, FUAD ABDELWAHAB ABDELQADER

    Published 2021
    “…With this simple method, the impact of clustering errors is significantly reduced as the wrongly clustered documents do not usually contain main keywords of high-frequency emerging topics. …”
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