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  1. 1
    Power matching approach for GPS coverage extension

    Power matching approach for GPS coverage extension by Saab, Samer S.

    Published 2006
    “…Commercial automobile navigation systems currently employ a GPS receiver coupled with a dead reckoning (DR) system and a map-matching algorithm. Most DR systems, which compensate for GPS inaccuracies and frequent GPS signal obstructions, employ an odometer and a directional sensor. …”
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  2. 2
    A simulated evolution approach to task-matching and scheduling in heterogeneous computing environments

    A simulated evolution approach to task-matching and scheduling in heterogeneous computing environments by Barada, Hassan

    Published 2020
    “…The various steps of the SE approach are discussed in details. Goodness functions required by SE are designed and explained. …”
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  3. 3
    Single channel speech denoising by DDPG reinforcement learning agent

    Single channel speech denoising by DDPG reinforcement learning agent by Sania Gul (18272227)

    Published 2025
    “…<p dir="ltr">Speech denoising (SD) covers the algorithms that suppress the background noise from the contaminated speech and improve its clarity. …”
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  4. 4
    Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV

    Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV by Zulkifli, Muhammad

    Published 2013
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  5. 5
    A quadratic kernel for 3-set packing

    A quadratic kernel for 3-set packing by Abu-Khzam, Faisal N.

    Published 2017
    “…We present a reduction procedure that takes an arbitrary instance of the 3-Set Packing problem and produces an equivalent instance whose number of elements is bounded by a quadratic function of the input parameter. Such parameterized reductions are known as kernelization algorithms, and each reduced instance is called a problem kernel. …”
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  6. 6
    FoGMatch

    FoGMatch by Arisdakessian, Sarhad

    Published 2019
    “…To address this problem, we propose in this paper a multi-criteria intelligent IoT scheduling approach in fog computing environments using matching game theory. Our solution consists of (1) two optimization problems, one for the IoT devices and one for the fog nodes, (2) preference functions for both the IoT and fog layers to help them rank each other on the basis of several criteria such latency and resource utilization, and (3) centralized and distributed intelligent scheduling algorithms that consider the preferences of both the fog and IoT layers to improve the performance of the overall IoT ecosystem. …”
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  7. 7
    Intelligent Bilateral Client Selection in Federated Learning Using Game Theory

    Intelligent Bilateral Client Selection in Federated Learning Using Game Theory by Wehbi, Osama

    Published 2022
    “…Our solution involves designing (1) preference functions for the client IoT devices and federated servers to allow them to rank each other according to several factors such as accuracy and price, (2) intelligent matching algorithms that take into account the preferences of both parties in their design, and (3) bootstrapping technique that capitalizes on the collaboration of multiple federated servers in order to assign initial accuracy value for the new connected IoT devices. …”
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  8. 8
    Common weaving approach in mainstream languages for software security hardening

    Common weaving approach in mainstream languages for software security hardening by Alhadidi, Dima

    Published 2013
    “…GIMPLE weaving accompanied by a common aspect-oriented language (1) allows security experts providing security solutions using this common language, (2) lets developers focus on the main functionality of programs by relieving them from the burden of security issues, (3) unifies the matching and the weaving processes for mainstream languages, and (4) facilitates introducing new security features in AOP languages. …”
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  9. 9
    Decision-level fusion for single-view gait recognition with various carrying and clothing conditions

    Decision-level fusion for single-view gait recognition with various carrying and clothing conditions by Al-Tayyan, Amer

    Published 2017
    “…Secondly, each of these methods is tested using three matching classification schemes; image projection with Linear Discriminant Functions (LDF), Multilinear Principal Component Analysis (MPCA) with K-Nearest Neighbor (KNN) classifier and the third method: MPCA plus Linear Discriminant Analysis (MPCA+LDA) with KNN classifier. …”
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  10. 10
    Decision-level Gait Fusion for Human Identification at a Distance

    Decision-level Gait Fusion for Human Identification at a Distance by Al-Tayyan, Amer

    Published 2014
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  11. 11
    Design of a TE-pass reflection mode optical polarizer

    Design of a TE-pass reflection mode optical polarizer by Khan, M.A.

    Published 2003
    “…This in addition to being a TE pass reflection mode filter, the device also functions as a narrow band wavelength filter. The analysis of the filter is carried out numerically using the method of lines with a perfectly matched layer in order to absorb the radiative field. …”
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