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Showing 241 - 260 results of 344 for search '(( elements network algorithm ) OR ((( data multi algorithm ) OR ( solved using algorithm ))))', query time: 0.11s Refine Results
  1. 241
    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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  2. 242
    Optical recognition of electrical circuit drawings

    Optical recognition of electrical circuit drawings by Boraie, M.T.

    Published 1997
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  3. 243
    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. 244
    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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  5. 245
    A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem

    A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem by Habchi, Wassim

    Published 2008
    “…The nonlinear system of equations is solved using a Newton procedure which provides faster convergence rates. …”
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  6. 246
    Benchmark on a large cohort for sleep-wake classification with machine learning techniques

    Benchmark on a large cohort for sleep-wake classification with machine learning techniques by Joao Palotti (8479842)

    Published 2019
    “…In this work, we processed the data of the recently published Multi-Ethnic Study of Atherosclerosis (MESA) Sleep study to have both PSG and actigraphy data synchronized. …”
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  7. 247
    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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  8. 248
    Multidimensional Gains for Stochastic Approximation

    Multidimensional Gains for Stochastic Approximation by Saab, Samer S.

    Published 2019
    “…Necessary and sufficient conditions for M≥ N algorithms are presented pertaining to algorithm stability and convergence of the estimate error covariance matrix. …”
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  9. 249
    Establishing Autonomous AUS-Quadrotor

    Establishing Autonomous AUS-Quadrotor by Al Younes, Younes

    Published 2009
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  10. 250
    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
    “…Our approach combines the strengths of mobile crowdsensing, with the support of the mobile infrastructure, a multi-criteria algorithm for the participants' selection, and a deductive rule-based model for traffic condition estimation. …”
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  11. 251
    Framework for rapid design and optimisation of immersive battery cooling system

    Framework for rapid design and optimisation of immersive battery cooling system by Ali Almshahy (23544823)

    Published 2025
    “…This study presents a CFD-driven optimisation framework for an immersion cooling BTMS using sustainable palm biodiesel as coolant. The Multi-scale Multi-Domain (NTGK) framework is conducted to effectively capture the complex interactions among various physicochemical processes. …”
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  12. 252
    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. 253
    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. 254
    Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions

    Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions by Yinsong Chen (16685508)

    Published 2022
    “…These methods generally disaggregate the original time series data into sub-time-series with better stationarity, and then the target data is predicted based on the sub-series. …”
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  15. 255
    CEAP

    CEAP by Abdel Wahab, Omar

    Published 2016
    “…To reduce the overhead of the proposed detection model and make it feasible for the resource-constrained nodes, we reduce the size of the training dataset by (1) restricting the data collection, storage, and analysis to concern only a set of specialized nodes (i.e., Multi-Point Relays) that are responsible for forwarding packets on behalf of their clusters; and (2) migrating only few tuples (i.e., support vectors) from one detection iteration to another. …”
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  16. 256
    Multigrid solvers in reconfigurable hardware. (c2006)

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

    Published 2006
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  17. 257
    An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation

    An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation by El-Maleh, Aiman H.

    Published 2001
    “…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. …”
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  18. 258
    An evolutionary meta-heuristic for state justification insequential automatic test pattern generation

    An evolutionary meta-heuristic for state justification insequential automatic test pattern generation by El-Maleh, A.H.

    Published 2001
    “…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. …”
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  19. 259
    A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation

    A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation by Kfouri, Ronald

    Published 2023
    “…The algorithms are tested on three different networks. The proposed approach solves the DSSE problem with limited measurements as inputs, which cannot be solved using conventional state estimation methods. …”
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  20. 260
    Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant

    Identification of errors-in-variables model with observation outliers based on Minimum-Covariance-Determinant by ALMutawa, J.

    Published 2007
    “…In order to solve the MCD problem for the EIV model we propose a random search algorithm. …”
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