Showing 101 - 120 results of 1,234 for search '(((((( five decrease ) OR ( (deep OR did) increase ))) OR ( peer decrease ))) OR ( mean decrease ))', query time: 0.17s Refine Results
  1. 101

    DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

    Published 2024
    “…This study explores an alternative approach involving retinal images, building upon the DiaNet model, the first deep learning model for diabetes detection based solely on retinal images. …”
  2. 102

    Deep learning-based cross-device standardization of surface-enhanced Raman spectroscopy for enhanced bacterial recognition by Sakib Mahmud (22652357)

    Published 2026
    “…Quantitative results show that SERS-D2DNet reduced mean absolute error to 0.01 and increased R<sup>2</sup> to over 98 % across devices, while SuperRaman achieved up to 100 % classification accuracy post-transformation. …”
  3. 103

    The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000) by Jabre, Mazen Gerges

    Published 2000
    “…The mean levodopa dose was reduced by 90% (p < 0.01), while the mean dopamine agonist dose was increased by 15% from preoperative level. …”
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    masterThesis
  4. 104

    Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M., Shibl

    Published 2023
    “…Thus, a power system management solution is required to protect the distribution grid from the harmful effects of EVs charging through the regulation of the charging of EVs. In this paper, a deep RL-based EVs charging management solution is presented, while considering fast charging, conventional charging and V2G operation, in order to satisfy the requirements of the user and the utility. …”
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    article
  5. 105

    Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M. Shibl (17821382)

    Published 2023
    “…Thus, a power system management solution is required to protect the distribution grid from the harmful effects of EVs charging through the regulation of the charging of EVs. In this paper, a deep RL-based EVs charging management solution is presented, while considering fast charging, conventional charging and V2G operation, in order to satisfy the requirements of the user and the utility. …”
  6. 106

    Enhancing the properties and performance of polysulfone ultrafiltration membranes using citric acid based deep eutectic solvent additives by Yousef Elhamarnah (17869382)

    Published 2024
    “…<p>This study focuses on improving the performance of polysulfone (PSF) membranes through modification with a Deep Eutectic Solvent (DES) composed of Citric Acid (CA) and Choline Chloride (ChCl). …”
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    Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet by Vineet Dhanawat (22361395)

    Published 2025
    “…This paper proposes an efficient deep BiLSTMNet model to solve and mitigate these problems. …”
  10. 110

    Two-Stage Deep Learning Solution for Continuous Arabic Sign Language Recognition Using Word Count Prediction and Motion Images by Shanableh, Tamer

    Published 2023
    “…CNN transfer learning is used to convert each of these motion images into a feature vector which is used for either model generation or sign language recognition. As such, two deep learning models are generated; one for predicting the number of words per sentence and the other for recognizing the meaning of the sign language sentences. …”
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  12. 112

    Surgical Management of Hepatic Benign Disease: Have the Number of Liver Resections Increased in the Era of Minimally Invasive Approach? Analysis from the I Go MILS (Italian Group o... by Ardito, Francesco

    Published 2020
    “…Although an evident growth of the use of MILS was observed during the time period analysis in Italy, this trend did not correspond to an increased number of MILS for BD, and the overall rate of resected BD was comparable to that reported in previous large open series.…”
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  13. 113

    Deciphering the In vitro Role of microRNAs miR-21-3p and miR-222-5p In the Regulation of Clostridioides difficile Flagellin-Induced Inflammation by Salman, Zeina

    Published 2024
    “…Functional assays revealed that miR-222-5p overexpression led to a significant increased expression of key pro-inflammatory cytokines, including IL-8 and TNF-α, while knockdown of these miRNAs resulted in their decreased expression. …”
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    masterThesis
  14. 114

    The molecular mechanisms of apoptosis accompanied with the epigenetic regulation of the NY-ESO-1 antigen in non-small lung cancer cells treated with decitabine (5-aza-CdR) by Varghese P. Inchakalody (14557382)

    Published 2023
    “…These results reiterate the decisive role of 5-Aza-CdR in lung cancer treatment since it induces the epigenetic regulation of NY-ESO-1 antigen, inhibits cell proliferation, increases apoptosis, and decreases invasiveness.…”
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    A BRET-based Mpro biosensor containing a nanobody and tandem cleavage sites shows an increased cleavage rate by Geethakumari, Anupriya M

    Published 2025
    “…We envisage that the NB2E3 nanobody-2× Mpro biosensor engineered here will be useful in drug discovery and functional characterization of Mpro mutants in newly emerging SARS-CoV-2 variants as well as in detecting SARS-CoV-2 infection in a point-of-care testing (POCT) format.…”
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  19. 119

    Acute kidney injury requiring dialysis after endovascular intervention for acute deep venous thrombosis: A case report and literature review by Najlaa Essa A. H. Al‐Mannai (21841775)

    Published 2024
    “…<h3>Key Clinical Message</h3><p dir="ltr">Percutaneous precutaneous mechanical thrombectomy has been used for clot dissolution and removal in selected cases of iliofemoral deep vein thrombosis. Intravascular Hemolysis and hemoglobinuria caused by pharmachomechanical chather directed thrombolysis (PCDT) devices like the Angiojet is associated with an increased risk of acute kidney injury (AKI). …”
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