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Showing 741 - 760 results of 921 for search '(((( data using algorithm ) OR ( test using algorithms ))) OR ( element method algorithm ))', query time: 0.11s Refine Results
  1. 741
    Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea

    Lagrangian tracking in stochastic fields with application to an ensemble of velocity fields in the Red Sea by Issa, Leila

    Published 2018
    “…Lagrangian tracking of passive tracers in a stochastic velocity field within a sequential ensemble data assimilation framework is challenging due to the exponential growth in the number of particles. …”
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  2. 742
    An Infrastructure-Assisted Workload Scheduling for Computational Resources Exploitation in the Fog-Enabled Vehicular Network

    An Infrastructure-Assisted Workload Scheduling for Computational Resources Exploitation in the Fog-Enabled Vehicular Network by Sorkhoh, Ibrahim

    Published 2020
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  3. 743
    A new approach and faster exact methods for the maximum common subgraph problem

    A new approach and faster exact methods for the maximum common subgraph problem by Abu-Khzam, Faisal N.

    Published 2017
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  4. 744
    Collaborative Caching for D2D Content Sharing in 5G

    Collaborative Caching for D2D Content Sharing in 5G by Abdelsalam, Ansam Elfadil Kamel

    Published 2021
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  5. 745
    Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers

    Digital-Twin-Based Diagnosis and Tolerant Control of T-Type Three-Level Rectifiers by Ali Sharida (17947847)

    Published 2023
    “…To develop the DT, a dense deep neural network (DNN) machine learning approach is used. The DT is trained offline using a set of experimental data and updated online to get the maximum possible accuracy. …”
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  6. 746
    Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast during ramadan (The PROFAST – IT Ramadan study)

    Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d... by Tarik Elhadd (5480393)

    Published 2020
    “…<h3>Objective</h3><p dir="ltr">To develop a machine-based algorithm from clinical and demographic data, physical activity and glucose variability to predict hyperglycaemic and hypoglycaemic excursions in patients with type 2 diabetes on multiple glucose lowering therapies who fast during Ramadan.…”
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  7. 747
    A hybrid approach for XML similarity

    A hybrid approach for XML similarity by Tekli, Joe

    Published 2007
    “…Various algorithms for comparing hierarchically structured data, e.g. …”
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  8. 748
    Dataset built for Arabic Sentiment Analysis

    Dataset built for Arabic Sentiment Analysis by AL MUKHAITI, AYESHA JUMAA SALEM

    Published 2016
    “…Key stages of the framework takes three dimensions. We followed an Algorithm which involves Data Acquisition stage, Filtering Stage and Annotation Stage. …”
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  9. 749
    Resource allocation scheme for eMBB and uRLLC coexistence in 6G networks

    Resource allocation scheme for eMBB and uRLLC coexistence in 6G networks by Muhammed Al-Ali (16810677)

    Published 2023
    “…An optimal resource allocation scheme is proposed with two scenarios including a guaranteed fairness level and minimum data rate among eMBB users. In addition, a knapsack-inspired punctured resource allocation algorithm is proposed where the users’ channel qualities of both services are considered at each time slot leading to the most suitable Resource Block (RB) selection for puncturing in a way that minimizes the negative impact on eMBB performance. …”
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  10. 750
    Robustness evaluation of real-Time Protocols

    Robustness evaluation of real-Time Protocols by Tarhini, Abbas

    Published 2006
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  11. 751
    Uplink Noma in UAV-Assisted IoT Networks

    Uplink Noma in UAV-Assisted IoT Networks by Mrad, Ali

    Published 2022
    “…Given the complexity of the problem and the incomplete knowledge about the environment, the problem is divided into two subproblems: the first models the UAV trajectory and the selection of the first device in the NOMA cluster at each time slot as a Markov Decision Process, and uses Proximal Policy Optimization to solve it. The second device is then selected using a heuristic algorithm based on prioritizing devices with higher bit rate requirements and strict deadlines. …”
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  12. 752
    Neural Networks as a Convex Problem

    Neural Networks as a Convex Problem by Khalil, Baha

    Published 2016
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  13. 753
    Multigrid solvers in reconfigurable hardware. (c2006)

    Multigrid solvers in reconfigurable hardware. (c2006) by Kasbah, Safaa J.

    Published 2006
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  14. 754
    Anonymizing multimedia documents

    Anonymizing multimedia documents by Haraty, Ramzi

    Published 2016
    “…In this paper, we propose de-linkability, a privacy-preserving constraint to bound the amount of information outsourced that can be used to re-identify individuals. We provide a sanitizing MD∗-algorithm to enforce de-linkability along with a utility function to evaluate the utility of multimedia documents that is preserved after the sanitizing process. …”
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  15. 755
    Hardening the ElGamal Cryptosystem in the Setting of the Second Group of Units

    Hardening the ElGamal Cryptosystem in the Setting of the Second Group of Units by ElKassar, AbdulNasser

    Published 2014
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  16. 756
    MoveSchedule

    MoveSchedule by Zouein, Pierette

    Published 1995
    “…MoveSchedule is validated using realistic project data and its solution is qualitatively assessed by an experienced engineer on that project.…”
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  17. 757
    Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel Blends

    Development of Machine Learning Models for Studying the Premixed Turbulent Combustion of Gas-To-Liquids (GTL) Fuel Blends by Abdellatif M. Sadeq (16931841)

    Published 2024
    “…In addition, the possible minimum and maximum values of responses at the corresponding operating parameters are found using a genetic algorithm (GA) approach. Model 1 could capture the computational fluid dynamics (CFD) outputs with high precision at different flame radiuses and time instants with a maximum absolute error percentage of 5.46%. …”
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  18. 758
    Structural similarity evaluation between XML documents and DTDs

    Structural similarity evaluation between XML documents and DTDs by Tekli, J.

    Published 2007
    “…The automatic processing and management of XML-based data are ever more popular research issues due to the increasing abundant use of XML, especially on the Web. …”
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  19. 759
    An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation

    An Infrastructure-Assisted Crowdsensing Approach for On-Demand Traffic Condition Estimation by Abdul Rahman, Sawsan

    Published 2019
    “…However, the current solutions proposed for the use of crowdsensing for the collection of traffic related data adopt an opportunistic continuous sensing approach, which entails high resource consumption on the server and mobile device side, a high communication overhead, while offering little control of the users over the sensing activity. …”
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  20. 760
    Active distribution network type identification method of high proportion new energy power system based on source-load matching

    Active distribution network type identification method of high proportion new energy power system based on source-load matching by Qinlin, Shi

    Published 2023
    “…Firstly, the typical daily output scenarios of DG are extracted by clustering method, and the generalized load curve model is solved by the optimization algorithm to obtain the source load operation data; Secondly, calculate the source-load matching indicators (including matching performance, matching degree, and matching rate) according to the source load data of each region, and identify the distribution network type according to the range of the index values; Finally, several indicators are introduced to quantify the characteristics of different types of distribution networks. …”
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