Showing 61 - 80 results of 81 for search '(((( element ii algorithm ) OR ( experimental plot algorithm ))) OR ( level coding algorithm ))', query time: 0.12s Refine Results
  1. 61

    Efficient unified Montgomery inversion with multi-bit shifting by Savas, Erkay

    Published 2005
    “…They present two inversion algorithms for binary extension and prime fields, which are slightly modified versions of the Montgomery inversion algorithm. …”
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  2. 62

    Multidimensional Gains for Stochastic Approximation by Saab, Samer S.

    Published 2019
    “…The two algorithms assume full knowledge of the Jacobian. …”
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  7. 67

    Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey by Faria Nawshin (21841598)

    Published 2024
    “…<p dir="ltr">Mobile devices have become an essential element in our day-to-day lives. The chances of mobile attacks are rapidly increasing with the growing use of mobile devices. …”
  8. 68

    UML-based regression testing for OO software by Mansour, Nashat

    Published 2010
    “…For the second phase, we present algorithms for detecting system level changes in the interaction overview diagram. …”
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    Assessing Factors Influencing Customers’ Adoption of AI-Based Voice Assistants by Surbhi Choudhary (21633701)

    Published 2024
    “…It also provides implications for tech-managers and algorithm designers to build effective voice technology for superior user experience.…”
  12. 72

    Analysis of Multi-User-Based UAV System With Outdated CSI by Parvez Shaik (21633041)

    Published 2024
    “…Optimization of UAV location and altitude is performed through a limited-memory Broyden-Fletcher-Goldfarb-Shanno (LBFGS) algorithm to attain minimum OP (MOP). Results illustrate optimal performance dependent on the channel correlation parameters, antenna elements, and fading conditions. …”
  13. 73

    Dynamic multiple node failure recovery in distributed storage systems by Itani, May

    Published 2018
    “…In this work, we address the problem of multiple failure recovery with dynamic scenarios using the fractional repetition code as a redundancy scheme. The fractional repetition (FR) code is a class of regenerating codes that concatenates a maximum distance separable code (MDS) with an inner fractional repetition code where data is split into several blocks then replicated and multiple replicas of each block are stored on various system nodes. …”
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  14. 74

    The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions by Abdulmalik Alwarafy (17984104)

    Published 2022
    “…To this end, we carefully identify the types of DRL algorithms utilized in each related work, the elements of these algorithms, and the main findings of each related work. …”
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    Connectionist technique estimates of hydrogen storage capacity on metal hydrides using hybrid GAPSO-LSSVM approach by Sina Maghsoudy (21393539)

    Published 2024
    “…With this purpose, a total number of 244 pairs of AB<sub>2 </sub>alloys including the elements and their respective hydrogen storage capacity were collected from the literature. …”
  17. 77

    Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling by Armin, Amindari

    Published 2017
    “…However, implementation of this approach is difficult using custom built codes and algorithms. In this paper, we present an FSI modeling methodology for aortic valve hemodynamics using a commercial modeling software, ANSYS. …”
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  18. 78

    Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling by Amindari, Armin

    Published 2017
    “…However, implementation of this approach is difficult using custom built codes and algorithms. In this paper, we present an FSI modeling methodology for aortic valve hemodynamics using a commercial modeling software, ANSYS. …”
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    Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort by Sergio Márquez-Sánchez (19437985)

    Published 2023
    “…However, these BEMSs often suffer from a critical limitation—they are primarily trained on building energy data alone, disregarding crucial elements such as occupant comfort and preferences. …”