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  1. 1

    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
    “…Deep brain stimulation has been proposed as an alternative effective treatment for advanced PO cases disabled by the high incidence of levodopa-induced motor complications. …”
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    masterThesis
  2. 2

    Advancing paleontology: a survey on deep learning methodologies in fossil image analysis by Mohammed Yaqoob (344668)

    Published 2025
    “…Recent advances in deep learning offer the potential to automate fossil image analysis, improving throughput and limiting operator bias. …”
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    Kefir exhibits anti‑proliferative and pro‑apoptotic effects on colon adenocarcinoma cells with no significant effects on cell migration and invasion by Khoury, Nathalie

    Published 2014
    “…Our data suggest that kefir is able to inhibit the proliferation and induce apoptosis in HT‑29 and Caco‑2 CRC cells, yet it does not exhibit a significant effect on the motility and invasion of these cells in vitro.…”
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    article
  4. 4

    Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects by Mohamed Massaoudi (16888710)

    Published 2021
    “…<p>The current electric power system witnesses a significant transition into Smart Grids (SG) as a promising landscape for high grid reliability and efficient energy management. …”
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    Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks by Mohammed Almehdhar (22046597)

    Published 2024
    “…This survey paper offers an in-depth examination of advanced machine learning (ML) and deep learning (DL) approaches employed in developing sophisticated IDS for safeguarding IVNs against potential cyber-attacks. …”
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    Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review by Normaisharah Mamat (19517623)

    Published 2022
    “…Recent publications have been reviewed on the basis of their application of deep learning with current advancement technology. …”
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    Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis by Uzair Shah (15740699)

    Published 2025
    “…<p dir="ltr">This systematic review and meta-analysis comprehensively analyzes deep learning approaches for brain electron microscopy (EM) segmentation, addressing the critical challenge of extracting neuroanatomical information at nanometer resolution. …”
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    YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm by Prabu Selvam (22330264)

    Published 2025
    “…<p dir="ltr">Surface defects in Printed Circuit Boards (PCBs), which arise during manufacturing, significantly impact product quality and directly influence equipment performance, stability and reliability. …”
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    Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells by Nihal AlMuraikhi (6002234)

    Published 2019
    “…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …”
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    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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    article
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    A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass by Uzma Nawaz (21980708)

    Published 2025
    “…However, traditional monitoring methods can be labor-intensive and costly, especially in complex underwater environments. Deep learning approaches have made significant progress in digital image processing, particularly in object recognition and classification, and are among the most popular computer vision tools. …”
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    Deep learning in automated power line inspection: A review by Md. Ahasan Atick Faisal (15302410)

    Published 2025
    “…The utilization of an extensive collection of videos and images has become essential for maintaining the reliability, safety, and sustainability of electricity transmission. A significant focus on applying deep learning techniques for enhancing power line inspection processes has been observed in recent research. …”
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