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Showing 201 - 220 results of 837 for search '(((( element method algorithm ) OR ( experimental based algorithm ))) OR ( data using algorithm ))*', query time: 0.13s Refine Results
  1. 201
    Allocating data to distributed-memory multiprocessors by genetic algorithms

    Allocating data to distributed-memory multiprocessors by genetic algorithms by Mansour, Nashat

    Published 2016
    “…We present three genetic algorithms (GAs) for allocating irregular data sets to multiprocessors. …”
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  2. 202
    Simulated Annealing and Genetic Algorithms for Optimal Regression Testing

    Simulated Annealing and Genetic Algorithms for Optimal Regression Testing by Mansour, Nashat

    Published 1999
    “…The algorithms are based on an integer programming problem formulation and the program’s control flow graph. …”
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  3. 203
    Evolutionary algorithms for VLSI multi-objective netlist partitioning

    Evolutionary algorithms for VLSI multi-objective netlist partitioning by Sait, Sadiq M.

    Published 2006
    “…In this paper, we engineer three iterative heuristics for the optimization of VLSI netlist bi-partitioning. These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …”
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  4. 204
    Intelligent Bilateral Client Selection in Federated Learning Using Game Theory

    Intelligent Bilateral Client Selection in Federated Learning Using Game Theory by Wehbi, Osama

    Published 2022
    “…To overcome this problem, we present in this paper FedMint, an intelligent client selection approach for federated learning on IoT devices using game theory and bootstrapping mechanism. Our solution involves designing (1) preference functions for the client IoT devices and federated servers to allow them to rank each other according to several factors such as accuracy and price, (2) intelligent matching algorithms that take into account the preferences of both parties in their design, and (3) bootstrapping technique that capitalizes on the collaboration of multiple federated servers in order to assign initial accuracy value for the new connected IoT devices. …”
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  5. 205
    Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey

    Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey by Faria Nawshin (21841598)

    Published 2024
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  6. 206
    Convergence behavior of the normalized least mean fourth algorithm

    Convergence behavior of the normalized least mean fourth algorithm by Zerguine, A.

    Published 2000
    “…Unlike the LMF algorithm, the convergence behavior of the NLMF algorithm is independent of the input data correlation statistics. …”
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  7. 207
    Optimizing Document Classification: Unleashing the Power of Genetic Algorithms

    Optimizing Document Classification: Unleashing the Power of Genetic Algorithms by Ghulam Mustafa (458105)

    Published 2023
    “…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …”
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  8. 208
    Evolutionary algorithm for predicting all-atom protein structure

    Evolutionary algorithm for predicting all-atom protein structure by Mansour, Nashat

    Published 2011
    “…We present an improved version of a scatter search (SS) algorithm for predicting all-atoms protein structures using a recent energy model. …”
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  9. 209
    GenDE: A CRF-Based Data Extractor

    GenDE: A CRF-Based Data Extractor by Kayed, Mohammed

    Published 2020
    “…If the wrapper failed to work with the new page, a new wrapper/schema would be re-generated by calling an unsupervised wrapper induction system. In this paper, a new data extractor called GenDE is proposed. It verifies the site schema and extracts data from the Web pages using Conditional Random Fields (CRFs). …”
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  10. 210
    Recent Advances of Chimp Optimization Algorithm: Variants and Applications

    Recent Advances of Chimp Optimization Algorithm: Variants and Applications by Daoud, Mohammad Sh.

    Published 2023
    “…Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. …”
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  11. 211
    Mining airline data for CRM strategies. (c2006)

    Mining airline data for CRM strategies. (c2006) by Maalouf, Lena

    Published 2006
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  12. 212
    The effects of data balancing approaches: A case study

    The effects of data balancing approaches: A case study by Paul Mooijman (4453189)

    Published 2023
    “…In this article, we present a case study approach for investigating the effects of data balancing approaches. The case study concerns the discrimination between growth hormone treated and non-treated animals using Liquid Chromatography-High Resolution Mass Spectrometry (LC-HRMS) data. …”
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  13. 213
    A FAMILY OF NORMALIZED LEAST MEAN FOURTH ALGORITHMS

    A FAMILY OF NORMALIZED LEAST MEAN FOURTH ALGORITHMS by Zerguine, Azzedine

    Published 2020
    “…In this work, a family of normalized least mean fourth algorithms is presented. Unlike the LMF algorithm, the convergence behavior of these algorithms is independent of the input data correlation statistics. …”
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  14. 214
    A hybrid graph representation for recursive backtracking algorithms

    A hybrid graph representation for recursive backtracking algorithms by Abu-Khzam, Faisal N.

    Published 2017
    “…The use of efficient data structures is necessary for fast graph modification modules as well as fast take-back procedures. …”
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  15. 215
    Social spider optimization algorithm: survey and new applications

    Social spider optimization algorithm: survey and new applications by Abualigah, Laith

    Published 2024
    “…This survey also studied the main applications of this algorithm in different fields, including medical, mathematical, artificial intelligence, engineering, and data engineering, and how this algorithm affected, impacted, and supported the different fields. …”
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  16. 216
    (k, l)-Clustering for Transactional Data Streams Anonymization

    (k, l)-Clustering for Transactional Data Streams Anonymization by Tekli, Jimmy

    Published 2018
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  17. 217
    Application of Data Mining to Predict and Diagnose Diabetic Retinopathy

    Application of Data Mining to Predict and Diagnose Diabetic Retinopathy by Haniyeh, Maryam

    Published 2024
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  18. 218
    Global smart cities classification using a machine learning approach to evaluating livability, technology, and sustainability performance across key urban indices

    Global smart cities classification using a machine learning approach to evaluating livability, technology, and sustainability performance across key urban indices by Aya Hasan Alkhereibi (17151070)

    Published 2025
    “…Drawing on data from the Smart Cities Index (SCI) and other economic and sustainability competitiveness metrics, the study uses various <u>ML algorithms</u> to categorize cities into <u>performance classes</u>, ranging from high-achieving Class 1 to emerging Class 3 cities. …”
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  19. 219
    Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements

    Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements by Stefano Nardean (14151900)

    Published 2023
    “…This preconditioner, denoted as Block CPR (BCPR), is specifically designed for Lagrange multipliers-based flow models, such as those generated by Mixed Hybrid Finite Element (MHFE) approximations. …”
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  20. 220
    IntruSafe: a FCNN-LSTM hybrid IoMT intrusion detection system for both string and 2D-spatial data using sandwich architecture

    IntruSafe: a FCNN-LSTM hybrid IoMT intrusion detection system for both string and 2D-spatial data using sandwich architecture by Moutaz Alazab (17730060)

    Published 2025
    “…The IoMT manufacturers need to offer their products at a competitive price, which forces them to use simplified architecture, leaving limited and, to some extent, no scope to employ sophisticated cybersecurity algorithms. …”
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