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Showing 681 - 700 results of 767 for search '(( data using algorithms ) OR ((( develop search algorithm ) OR ( elements method algorithm ))))', query time: 0.11s Refine Results
  1. 681
    Security in wire/wireless networks: sniffing attacks prevention/detection techniques in LAN networks & the effect on biometric technology

    Security in wire/wireless networks: sniffing attacks prevention/detection techniques in LAN networks & the effect on biometric technology by Al-Hemairy, Moh'd Hussain

    Published 2010
    “…Accordingly security threats and data banks attacks turn out to be a phenomenon. Thus, granting protection to such crucial information becomes a high demand. …”
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  2. 682
    Establishing Autonomous AUS-Quadrotor

    Establishing Autonomous AUS-Quadrotor by Al Younes, Younes

    Published 2009
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  3. 683
    DNA Base-Calling Techniques

    DNA Base-Calling Techniques by Odeh, Fadi

    Published 2008
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  4. 684
    A new estimator and approach for estimating the subpopulation parameters

    A new estimator and approach for estimating the subpopulation parameters by Mohammad Salehi M. (21259490)

    Published 2021
    “…The criterion shows that the traditional total subpopulation estimator for unknown subpopulation size will be more efficient if the subpopulation mean is close to zero. Using an innovative procedure, we develop a new estimator, and we study its properties using real data. …”
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  5. 685
    Shuffled Linear Regression with Erroneous Observations

    Shuffled Linear Regression with Erroneous Observations by Saab, Samer S.

    Published 2019
    “…Existing methods are either applicable only to data with limited observation errors, work only for partially shuffled data, sensitive to initialization, and/or work only with small dimensions. …”
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  6. 686
    A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns

    A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns by Md Ferdous Wahid (13485799)

    Published 2023
    “…The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …”
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  7. 687
    Edge intelligence for network intrusion prevention in IoT ecosystem

    Edge intelligence for network intrusion prevention in IoT ecosystem by Mansura Habiba (17808302)

    Published 2023
    “…This paper proposes a deep learning-based algorithm to protect the network against Distributed Denial-of-Service (DDoS) attacks, insecure data flow, and similar network intrusions. …”
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  8. 688
    A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants

    A Novel Internal Model Control Scheme for Adaptive Tracking of Nonlinear Dynamic Plants by Khan, T.

    Published 2006
    “…The U-model utilizes only past data for plant modelling and standard root solving algorithm for control law formulation. …”
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  9. 689
    Scatter search metaheuristic for homology based protein structure prediction. (c2015)

    Scatter search metaheuristic for homology based protein structure prediction. (c2015) by Stamboulian, Mouses Hrag

    Published 2015
    “…We assess our algorithm on a total of 11 proteins whose structures are present in the Protein Data Bank (PDB) and which has been used in previous literature. …”
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  10. 690
    Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT)

    Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT) by Kouatli, Issam

    Published 2015
    “…Decision making and/or Decision Support Systems (DSS) using intelligent techniques like Genetic Algorithm and fuzzy logic is becoming popular in many new applications. …”
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  11. 691
    Modeling and Bias-Robust Estimation of the Acoustic Release of Chemotherapeutics from Liposomes

    Modeling and Bias-Robust Estimation of the Acoustic Release of Chemotherapeutics from Liposomes by Wadi, Ali

    Published 2019
    “…Optimality is guaranteed by accurately identifying the underlying statistical noise characteristics in experimental data. The estimator also quantifies the bias in the release, exhibited by the experimental data. …”
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  12. 692
    An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization

    An Effective Fault Diagnosis Technique for Wind Energy Conversion Systems Based on an Improved Particle Swarm Optimization by Majdi Mansouri (16869885)

    Published 2022
    “…The main idea behind the use of the PSO algorithm is to remove irrelevant features and extract only the most significant ones from raw data in order to improve the classification task using a neural networks classifier. …”
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  13. 693
    Exploring Digital Competitiveness through Bayesian Belief Networks

    Exploring Digital Competitiveness through Bayesian Belief Networks by Qazi, Abroon

    Published 2025
    “…The methodology involves constructing BBN models using data from the IMD Digital Competitiveness Ranking 2023 for 64 countries. …”
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  14. 694
    Efficient utilization of scalable multipliers in parallel to compute GF(p) elliptic curve cryptographic operations

    Efficient utilization of scalable multipliers in parallel to compute GF(p) elliptic curve cryptographic operations by Gutub, Adnan

    Published 2007
    “…The design makes use of projective coordinates together with scalable Montgomery multipliers for data size of up to 256-bits. …”
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  15. 695
    Could Petrol Stations Play a Key Role in Transportation Electrification? A GIS-Based Coverage Maximization of Fast EV Chargers in Urban Environment

    Could Petrol Stations Play a Key Role in Transportation Electrification? A GIS-Based Coverage Maximization of Fast EV Chargers in Urban Environment by Safak Bayram (16925975)

    Published 2022
    “…The spatial optimization problem is solved using a linear-programming relaxation based MCLP algorithm developed in Python. …”
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  16. 696
    A multi-pretraining U-Net architecture for semantic segmentation

    A multi-pretraining U-Net architecture for semantic segmentation by Cagla Copurkaya (22502042)

    Published 2025
    “…For the validation of the proposed model, we used data from 21,000 cell nuclei at a resolution of 1000 by 1000 pixels. …”
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  17. 697
    RRT and Octomap based 3D environment exploration and mapping

    RRT and Octomap based 3D environment exploration and mapping by Koirala, Koshish

    Published 2020
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  18. 698
    Design and development of an embedded controller for roboticmanipulator

    Design and development of an embedded controller for roboticmanipulator by Bakhashwain, J.M.

    Published 1998
    “…Since the manipulator speed is limited by the mechanical constraints of the robot arm, the system's throughout should be optimized for generation of the required control law based on the data received from the robot's position sensors. …”
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  19. 699
    Legal and Ethical Considerations of Artificial Intelligence for Residents in Post-Acute and Long-Term Care

    Legal and Ethical Considerations of Artificial Intelligence for Residents in Post-Acute and Long-Term Care by Barry Solaiman (19160614)

    Published 2024
    “…Third, privacy rules concerning data use may undermine developers’ ability to train accurate AI systems, limiting their usefulness in PA-LTC contexts. …”
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  20. 700
    Generic metadata representation framework for social-based event detection, description, and linkage

    Generic metadata representation framework for social-based event detection, description, and linkage by Abebe, Minale A.

    Published 2020
    “…SEDDaL consists of four main modules for: i) describing social media objects in a generic Metadata Representation Space Model (MRSM) consisting of three composite dimensions: temporal, spatial, and semantic, ii) evaluating the similarity between social media objects’ descriptions following MRSM, iii) detecting events from similar social media objects using an adapted unsupervised learning algorithm, where events are represented as clusters of objects in MRSM, and iv) identifying directional, metric, and topological relationships between events following MRSM’s dimensions. …”
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