Search alternatives:
decrease » increase (Expand Search)
Showing 1 - 20 results of 134 for search '(( significant (tract OR track) based ) OR ( significant ((point decrease) OR (small decrease)) ))', query time: 0.12s Refine Results
  1. 1

    Model Based Adaptive Tracking Scheme For Unknown MIMO Bilinear Systems by Azhar, ASS

    Published 2020
    “…A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on Radial Basis Functions neural networks which is known for mapping any nonlinear function. …”
    Get full text
    article
  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
  4. 4

    U-model Based Adaptive Tracking Scheme for Unknown MIMO Bilinear Systems by Azhar, A.S.S.

    Published 2006
    “…A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on radial basis functions neural networks which is known for mapping any nonlinear function. …”
    Get full text
    Get full text
    article
  5. 5

    U-Model Based Adaptive Tracking Scheme For Unknown MIMO Bilinear Systems by Azhar, ASS

    Published 2020
    “…A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on Radial Basis Functions neural networks which is known for mapping any nonlinear function. …”
    Get full text
    article
  6. 6

    U-Model Based Adaptive Tracking Scheme For Unknown MIMO Bilinear Systems by Azhar, ASS

    Published 2020
    “…A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on Radial Basis Functions neural networks which is known for mapping any nonlinear function. …”
    Get full text
    article
  7. 7

    U-Model Based Adaptive Tracking Scheme For Unknown MIMO Bilinear Systems by Azhar, ASS

    Published 2020
    “…A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on Radial Basis Functions neural networks which is known for mapping any nonlinear function. …”
    Get full text
    article
  8. 8

    Brain Region-Based Vigilance Assessment Using Electroencephalography and Eye Tracking Data Fusion by Abu Farha, Nadia

    Published 2022
    “…The overall results showed that vigilance is a brain region specific and the fusion of EEG+and Eye tracking data using CCA has significantly improved the classification accuracy of vigilance levels assessment.…”
    Get full text
    article
  9. 9
  10. 10

    A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation by Iman M. Hosseini Naveh (16891482)

    Published 2021
    “…<p>This paper presents a comprehensive evaluation of the effect of quasi oppositional - based learning method utilization in output tracking control through a swarm-based multivariable Proportional-Integral-Derivative (SMPID) controller, which is tuned by a novel performance index based on the step response characteristics in multi-input multi-output (MIMO) system. …”
  11. 11
  12. 12

    Risk Management Impact on the Legal Challenges of Fast-Track Projects in Dubai by ZAKI, MOHD

    Published 2018
    “…Data collected via literature review of books, articles specifically related to fast track projects, legal challenges involves in the fast track project and risk management methods implementation in Dubai construction industries and further questionaries’ developed based on the literature review. …”
    Get full text
  13. 13
  14. 14
  15. 15

    A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study by Masurkar, Faeez

    Published 2022
    “…Finally, a 3D Finite Element simulation was conducted to validate the findings and each observation resulting from the experiments. Based on the obtained accuracy of the results, the proposed methodology has been found to be capable of inspecting rail track specimens in a completely non-contact manner with reasonably good accuracy…”
    Get full text
  16. 16

    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. …”
  17. 17

    Keyed Watermarks: A Fine-grained Tracking of Event-time in Apache Flink by Yasser, Tawfik

    Published 2023
    “…In our study, we outline the architec tural and API changes necessary to implement keyed watermarks and discuss our experience in extending Apache Flink’s enormous code base. Additionally, we compare the effectiveness of our strategy against the conventional watermark generation method in terms of the accuracy of event-time tracking. …”
    Get full text
    Get full text
    Get full text
  18. 18
  19. 19

    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. …”
  20. 20