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Showing 1 - 20 results of 80 for search '(( significant drone based ) OR ( significant ((point decrease) OR (small decrease)) ))', query time: 0.11s Refine Results
  1. 1

    Identity and Aggregate Signature-Based Authentication Protocol for IoD Deployment Military Drone by Saeed Ullah Jan (9079260)

    Published 2021
    “…This issue of security risk can be minimized conspicuously by developing a robust authentication scheme for IoD deployment military drones. Therefore, this research illustrates the designing of two separate protocols based on the aggregate signature, identity, pairing cryptography, and Computational Diffie-Hellman Problem (CDHP) to guarantee data integrity, authorization, and confidentiality among drones and AC2P/PICS. …”
  2. 2

    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. …”
  3. 3

    IoT empowered smart cybersecurity framework for intrusion detection in internet of drones by Syeda Nazia Ashraf (17541222)

    Published 2023
    “…In recent years, there has been a significant increase in the utilization of IoT-enabled drone data management technology. …”
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    Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach by Debabrata Mazumdar (18560506)

    Published 2024
    “…<p dir="ltr">The output of photovoltaic (PV) systems is significantly impacted by the vagaries of ambient temperature, solar irradiance, and environmental fluctuations. …”
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    A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity by Wesam S. Ahmed (10170053)

    Published 2024
    “…In this regard, engineering of brighter bioluminescent proteins, i.e. luciferases, has played a significant role. This is acutely exemplified by the engineering of the NLuc <u>luciferase</u>, which is small in size and displays much enhanced bioluminescence and<u> thermal stability</u> compared to previously available luciferases. …”
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    VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models by Md. Sakib Bin Islam (22828181)

    Published 2025
    “…This improvement in spatial and channel attention significantly boosts detection performance, particularly for small and occluded drones. …”
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    Optimizing the number of players and training bout durations in soccer small‐sided games: Effects on mood balance and technical performance by Zouhaier Farhani (22330693)

    Published 2025
    “…Therefore, coaches should consider longer continuous bouts when planning SSGs‐based training to significantly decrease TMD and enhance technical‐tactical performance in soccer SSGs.…”
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    Nonlinear Control of Brushless Dual-Fed Induction Generator With a Flywheel Energy Storage System for Improved System Performance by Mohammed Hamidat (3722086)

    Published 2025
    “…After optimization, the SMC settling time was significantly reduced from 0.7 seconds to 19.97 milliseconds, achieving a 96.9% improvement in response speed, while its steady-state error decreased from 0.48 to 0.06, marking an 87.5% reduction in tracking error. …”
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    YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm by Prabu Selvam (22330264)

    Published 2025
    “…Accurately identifying small defects on PCB surfaces remains a considerable challenge, particularly under complex background conditions, due to the intricate and compact layout of the boards. …”
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    Security Supply Chain Using UAVs: Validation and Development of a UAV-Based Model for Qatar’s Mega Sporting Events by Khalifa AL-Dosari (17931434)

    Published 2023
    “…The key findings of the study are: (1) a valid and reliable UAV-based cybersecurity framework for FIFA mega sporting events was developed; (2) five critical factors were identified, including traceability, security and privacy, trust, acceptability, and preparedness; (3) all factors were significantly and positively correlated, highlighting the complexity of managing security systems in mega sporting events.…”