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Showing 281 - 300 results of 403 for search '(( elements method algorithm ) OR ((( data control algorithm ) OR ( solved using algorithm ))))', query time: 0.12s Refine Results
  1. 281
    Degree-Based Network Anonymization

    Degree-Based Network Anonymization by Halawi, Ola

    Published 2020
    “…A corresponding graph realization approach is introduced based on a reduction to the Weighted Edge Cover problem, which in turn is solved using Integer Linear Programming to obtain the best possible solution. …”
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  2. 282
    Applications of fast fourier transform in the integrity evaluation of deep foundations

    Applications of fast fourier transform in the integrity evaluation of deep foundations by Abi Shdid, Caesar

    Published 2016
    “…The method is developed and validated using experimental data, and is based on applying the fast Fourier transform mapping algorithm on data obtained from cross-hole sonic logging. …”
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  3. 283
    On scalable parallel recursive backtracking

    On scalable parallel recursive backtracking by Abu-Khzam, Faisal N.

    Published 2015
    “…Solving NP-hard graph problems to optimality using exact algorithms is an example of an area in which there has so far been limited success in obtaining large scale parallelism. …”
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  4. 284
    Regression Testing of Database Applications

    Regression Testing of Database Applications by Haraty, Ramzi A.

    Published 2002
    “…In phase 1, we explore control flow and data flow analysis issues of database applications. …”
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  5. 285
    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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  6. 286
    Impact of fuzzy volume fraction on unsteady stagnation-point flow and heat transfer of a third-grade fuzzy hybrid nanofluid over a permeable shrinking/stretching sheet

    Impact of fuzzy volume fraction on unsteady stagnation-point flow and heat transfer of a third-grade fuzzy hybrid nanofluid over a permeable shrinking/stretching sheet by Imran Siddique (12705185)

    Published 2024
    “…Non-linear coupled partial differential equations (PDEs) get transformed into ordinary differential equations (ODEs) using an effective similarity transformation. After that, the ODEs are numerically solved using the bvp4c algorithm. …”
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  7. 287
    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System

    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System by Alkhatib, Osama

    Published 2019
    “…Historical data of Dubai Toll Collection System is utilized to investigate multiple machine learning algorithms. Experiment is performed using Azure Machine Learning (ML) platform to test and assess the most efficient model that would predict the failure of system elements and predict the abnormality of the operation. …”
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  8. 288
    Local convexity preserving rational cubic spline curves

    Local convexity preserving rational cubic spline curves by Sarfraz, M.

    Published 1997
    “…It is a local scheme which controls the shape of the curve and preserves the shape of the data by being local convexity-preserving. …”
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  9. 289
    Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements

    Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements by Emara-Shabaik, Husam

    Published 2020
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  10. 290
    A Dual Vibration Absorber for Vibration Suppression of Harmonically Forced Systems

    A Dual Vibration Absorber for Vibration Suppression of Harmonically Forced Systems by El Khoury, Elie

    Published 2022
    “…Then, a numerical technique based on both the genetic algorithm and the search simplex method is used to calculate the optimal system parameters. …”
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  11. 291
    On the complexity of multi-parameterized cluster editing

    On the complexity of multi-parameterized cluster editing by Abu-Khzam, Faisal

    Published 2017
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  12. 292
    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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  13. 293
    Multi-Objective Optimization for Food Availability under Economic and Environmental Risk Constraints

    Multi-Objective Optimization for Food Availability under Economic and Environmental Risk Constraints by Bashar Hassna (19170940)

    Published 2024
    “…Utilizing these assessments, a multi-objective optimization model is developed and solved using MATLAB (R2018a)’s Genetic Algorithm, aiming to identify optimal suppliers to meet Qatar’s food demand, with consideration of the economic, environmental, and risk factors. …”
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  14. 294
    Design and Analysis of Lightweight Authentication Protocol for Securing IoD

    Design and Analysis of Lightweight Authentication Protocol for Securing IoD by Saeed Ullah Jan (9079260)

    Published 2021
    “…An attacker can easily capture data from the available network channel and use it for their own purpose. …”
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  15. 295
    Scheduling and allocation in high-level synthesis using stochastic techniques

    Scheduling and allocation in high-level synthesis using stochastic techniques by Sait, Sadiq M.

    Published 2020
    “…Both genetic scheduling and allocation (GSA) and tabu scheduling and allocation (TSA) have been tested on various benchmarks and results obtained for data-oriented control-data flow graphs are compared with other implementations in the literature. …”
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  16. 296
    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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  17. 297
    ARDENT: A Proactive Agent-Based Routing Protocol for Internet of Vehicles

    ARDENT: A Proactive Agent-Based Routing Protocol for Internet of Vehicles by Mazouzi, Mohamed

    Published 2023
    “…The design of an efficient routing algorithm for the Internet of Vehicles (IoV) poses several problems due to its special characteristics, including nodes high-speed mobility, frequent topology change, link instability, and the presence of radio obstacles. …”
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  18. 298
    Anomaly Detection Based Framework for Profile Monitoring

    Anomaly Detection Based Framework for Profile Monitoring by Al-Rahim, Nour Al-Huda Z. Al-Abed

    Published 2023
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  19. 299
    Multigrid solvers in reconfigurable hardware. (c2006)

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

    Published 2006
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  20. 300
    Estimation of power grid topology parameters through pilot signals

    Estimation of power grid topology parameters through pilot signals by Hargossian, H.

    Published 2016
    “…Pilot voltage stimulations are injected from distributed generators and the induced currents effects are measured at several nodes in the system. The measured data is evaluated through correlation, and a weighed least-square algorithm, applied to the network’s dynamic model, estimates those unknown parameters and provides an accurate snapshot of the power network topology. …”
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