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Showing 201 - 220 results of 522 for search '(( element method algorithm ) OR ((( data injection algorithm ) OR ( based methods algorithm ))))', query time: 0.13s Refine Results
  1. 201
    New Hardware Algorithms and Designs for Montgomery Modular Inverse Computation in Galois Fields GF(p) and GF(2n)

    New Hardware Algorithms and Designs for Montgomery Modular Inverse Computation in Galois Fields GF(p) and GF(2n) by Gutub, Adnan

    Published 2002
    “…We suggest a new correction phase for a previously proposed almost Montgomery inverse algorithm to calculate the inversion in hardware. It is also presented how to obtain a fast hardware algorithm to compute the inverse by multi-bit shifting method. …”
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  2. 202
    Robust Variable Structure Control Approach of Two Series-Connected Five-Phase PMSMs Under Healthy and Faulty Operation Modes

    Robust Variable Structure Control Approach of Two Series-Connected Five-Phase PMSMs Under Healthy and Faulty Operation Modes by Ali Ajmi (17983771)

    Published 2023
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  3. 203
    Damage assessment & recovery from malicious transactions using data dependency for deffensive information warfare. (c2006)

    Damage assessment & recovery from malicious transactions using data dependency for deffensive information warfare. (c2006) by Zeitunlian, Arda

    Published 2006
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  4. 204
    Improved scatter search algorithm for predicting all-atoms protein structures using charmm22 energy model. (c2010)

    Improved scatter search algorithm for predicting all-atoms protein structures using charmm22 energy model. (c2010) by Ghalayini, Iman Adnan

    Published 2010
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  5. 205
    Nonlinear analysis of shell structures using image processing and machine learning

    Nonlinear analysis of shell structures using image processing and machine learning by M.S. Nashed (16392961)

    Published 2023
    “…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …”
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  6. 206
    Fragment-based computational protein structure prediction

    Fragment-based computational protein structure prediction by Mansour, Nashat

    Published 2014
    “…The method is based on a two-phase Scatter Search algorithm that minimizes the energy function. …”
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  7. 207
    Bootstrap-based Aggregations and their Stability in Feature Selection

    Bootstrap-based Aggregations and their Stability in Feature Selection by Salman, Reem Elfatih

    Published 2022
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  8. 208
    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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  9. 209
    Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar

    Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar by Sankaran, Rajendran

    Published 2022
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  10. 210
    UML-based regression testing for OO software

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

    Published 2010
    “…In the first phase, we select both unit and system test cases that directly traverse the changed methods and their calling methods. For the second phase, we present algorithms for detecting system level changes in the interaction overview diagram. …”
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  11. 211
    Scatter search for protein structure prediction. (c2008)

    Scatter search for protein structure prediction. (c2008) by Kehyayan, Christine Houry

    Published 2008
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  12. 212
    Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization

    Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization by Abu Zitar, Raed

    Published 2024
    “…This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …”
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  13. 213
    Fragment based protein structure prediction. (c2013)

    Fragment based protein structure prediction. (c2013) by Terzian, Meghrig Ohanes

    Published 2016
    “…This work presents a fragment based protein tertiary structure prediction method that provides suboptimal structures. …”
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  14. 214
    Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis

    Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis by Navadon Khunlertgit (3480926)

    Published 2014
    “…The proposed method utilizes an efficient message-passing algorithm called affinity propagation, based on which we identify groups – or subnetworks – of discriminative and synergistic genes, whose protein products are closely located in the protein-protein interaction (PPI) network. …”
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  15. 215
    Reinforcement Learning-Based School Energy Management System

    Reinforcement Learning-Based School Energy Management System by Yassine Chemingui (18891757)

    Published 2020
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  16. 216
    A Novel Centrality-Based Approach for Link Prediction

    A Novel Centrality-Based Approach for Link Prediction by El Khoury, Elissa Lichaa

    Published 2025
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  17. 217
    AI-Aided Robotic Wide-Range Water Quality Monitoring System

    AI-Aided Robotic Wide-Range Water Quality Monitoring System by Awwad, Ameen

    Published 2024
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  18. 218
    Condenser capacity and hyperbolic perimeterImage 1

    Condenser capacity and hyperbolic perimeterImage 1 by Mohamed M.S., Nasser

    Published 2021
    “…We study the conformal capacity by using novel computational algorithms based on implementations of the fast multipole method, and analytic techniques. …”
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  19. 219
    Generating haptic texture using solid noise

    Generating haptic texture using solid noise by Osama Halabi (14158905)

    Published 2021
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  20. 220
    Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques

    Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques by Abu Zitar, Raed

    Published 2022
    “…This paper covered the most resent and important researchers in the domain of renewable problems using the learning-based methods. Various types of Deep Learning (DL) and Machine Learning (ML) algorithms employed in Solar and Wind energy supplies are given. …”
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