يعرض 41 - 60 نتائج من 1,011 نتيجة بحث عن '(( greater decrease ) OR ((( ((line OR link) OR deep) increase ) OR ( peer decrease ))))*', وقت الاستعلام: 0.13s تنقيح النتائج
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    A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass حسب Uzma Nawaz (21980708)

    منشور في 2025
    "…The increase in imagery data has in turn created a demand for automated detection and classification using deep neural network-based techniques. …"
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    Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA حسب Muhammad Shehab (16904880)

    منشور في 2022
    "…As the imperfection increases by ten times, the rate decreases by more than 10%.…"
  6. 46

    Performance analysis of power line communication systems with diversity combining under correlated lognormal fading and Nakagami noise حسب Abou-Rjeily, Chadi

    منشور في 2017
    "…In this study, the authors evaluate the bit error rate (BER) performance of multichannel power line communication (PLC) systems under lognormal fading and Nakagami-m background noise. …"
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    Daucus carota pentane-based fractions arrest the cell cycle and increase apoptosis in MDA-MB-231 breast cancer cells حسب Shebaby, Wassim N.

    منشور في 2014
    "…Methods and results Using the WST assay, the pentane fraction (F1) and 1:1 pentane:diethyl ether fraction (F2) were shown to possess the highest cytotoxicity against both cell lines. Flow cytometric analysis revealed that both fractions induced the accumulation of cells in the sub-G1 phase, increase in apoptotic cell death and chromatin condensation. …"
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  9. 49

    The anti-cancer effect of the pentane fraction of Daucus carota oil extract is mediated through cell cycle arrest and an increase in apoptosis حسب Mroueh, MA

    منشور في 2013
    "…Previous studies from our laboratory demonstrated the in vitro anticancer activities of Daucus carota oil extract (DCOE) on colon and breast human cancer cell lines. In the current study, we aimed at fractionating the Daucus carota oil extract (DCOE) and analyzing the in vitro anticancer activities of the obtained fractions. …"
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    How does big data affect organizational financial performance in turbulent markets? The role of customer-linking and selling capabilities حسب Itani, Omar S.

    منشور في 2024
    "…BDA allows organizations to upturn challenges and hindrances caused by market turbulence into opportunities to increase sales revenues. Based on the findings, theoretical contributions and managerial implications are provided.…"
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    Deep aging clocks: AI-powered strategies for biological age estimation حسب Luma Srour (22254409)

    منشور في 2025
    "…<p>Several strategies have emerged lately in response to the rapid increase in the aging population to enhance health and life span and manage aging challenges. …"
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    Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches حسب Natasha Akram (20749538)

    منشور في 2024
    "…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …"
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    Nonclassicality of open circuit QED systems in the deep-strong coupling regime حسب Tomohiro Shitara (18508206)

    منشور في 2021
    "…<p dir="ltr">We investigate theoretically how the ground state of a qubit–resonator (Q–R) system in the deep-strong coupling (DSC) regime is affected by the coupling to an environment. …"
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    An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network حسب Tawfik Beghriche (19563184)

    منشور في 2021
    "…The deaths by diabetes are increasing each year, so the need to develop a system that can effectively diagnose diabetes patients becomes inevitable. …"
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    Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes حسب Anas M. Tahir (16870077)

    منشور في 2023
    "…Recent advancements in the deep learning (DL) domain can offer a real-time surrogate that can render hemodynamic parameters in a few seconds, thus guiding clinicians to select the optimal treatment option. …"