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Showing 21 - 40 results of 1,786 for search '(( greater decrease ) OR ((( ((time OR deep) OR lines) increase ) OR ( per decrease ))))*', query time: 0.16s Refine Results
  1. 21

    Experimental Validation of a Mitigation Method of Ferranti Effect in Transmission Line by Tareq Foqha (17947778)

    Published 2023
    “…This paper investigates the impact of increasing the length of the transmission line on its receiving end voltage under no-load conditions. …”
  2. 22

    Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization by Yassine Himeur (14158821)

    Published 2023
    “…To that end, deep transfer learning (DTL) and deep domain adaptation (DDA) have recently been proposed as promising solutions to alleviate these issues. …”
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    Time to diagnose and time to surgery in patients presenting with necrotizing fasciitis: a retrospective analysis by Murad S. Alahmad (22457605)

    Published 2025
    “…In contrast, delayed diagnosis (TTD > 6 h) was significantly associated with increased mortality, regardless of the TTS.</p><h3>Conclusion</h3><p dir="ltr">Timely diagnosis within 6 h is crucial for improving outcomes in NF. …”
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    A power line data communication interface using spread spectrumtechnology in home automation by Shwehdi, M.H.

    Published 1996
    “…The paper outlines methods of communication over a power line, namely the X-10 and CE bus. It also introduces the spread spectrum technology as to increase speed to 100-150 times faster than the X-10 system. …”
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  10. 30

    Increasing methylation of sperm rDNA and other repetitive elements in the aging male mammalian germline by Ramya Potabattula (4401160)

    Published 2020
    “…Similar to the tandemly repeated rDNA, methylation of human α‐satellite and interspersed LINE1 repeats, marmoset α‐satellite, bovine alpha‐ and testis satellite I, mouse minor and major satellite, and LINE1‐T repeats increases in the aging male germline, probably related to their sperm histone packaging. …”
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    Deep Learning for Arabic Error Detection and Correction by ALKHATIB, MANAR

    Published 2020
    “…We introduce an approach that investigates employing deep neural network technology for error detection in Arabic text. …”
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  14. 34

    Novel paclitaxel formulations solubilized by parenteral nutrition nanoemulsions for application against glioma cell lines by Najlah, Mohammad

    Published 2016
    “…The zeta potential of linoleic had a greater negative value than that of Intralipid.Loading efficiencies for paclitaxel were 70.4–80.2% and 44.2–57.4% for Clinoleic and Intralipid formulations, respectively. …”
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  15. 35

    LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis by Saeif Alhazbi (17058108)

    Published 2025
    “…We develop a Deep Learning (DL) pipeline to capture these timing patterns using network traffic analysis and evaluate it on 16 Small Language Models (SLMs) and 10 proprietary LLMs across different deployment scenarios, including local host machine (GPU/CPU), Local Area Network (LAN), Remote Network, and when using Virtual Private Network (VPN). …”
  16. 36

    Metformin Induces Different Responses in Clear Cell Renal Cell Carcinoma Caki Cell Lines by Mazhar Pasha (11197767)

    Published 2019
    “…Our findings demonstrate a differential response between the two ccRCC cell lines studied, with Caki-2 cells being more sensitive to metformin compared to Caki-1 cells, which could be linked to the differential expression of HIF-1 despite both cell lines carrying a wild-type VHL. …”
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    Novel Platinum II and Platinum IV Complexes Exhibit An Anti-Neoplastic Potential Against A549 Cancer Cell Line by Baz, Joy

    Published 2021
    “…Cellular uptake results suggest a time-dependent active mode of transport for both complexes with Pt II being transported at higher rates and concentrations when compared to Pt IV. …”
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    masterThesis
  19. 39

    Knowledge-based Deep Learning for Modeling Chaotic Systems by Elabid, Zakaria

    Published 2022
    “…Deep Learning has received increased attention due to its unbeatable success in many fields, such as computer vision, natural language processing, recommendation systems, and most recently in simulating multiphysics problems and predicting nonlinear dynamical systems. …”
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  20. 40

    Deep Learning for the Accurate Prediction of Triggered Drug Delivery by Husseini, Ghaleb

    Published 2024
    “…The deep learning-based predictions significantly outperform linear predictions, proving the utility of advanced computational methods in drug delivery. …”
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