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Showing 1 - 20 results of 87 for search '(( data lacking algorithm ) OR ((( developing b algorithm ) OR ( element data algorithm ))))', query time: 0.13s Refine Results
  1. 1
    Variable Selection in Data Analysis: A Synthetic Data Toolkit

    Variable Selection in Data Analysis: A Synthetic Data Toolkit by Mitra, Rohan

    Published 2024
    “…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …”
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  2. 2
    General applicability of genetic and simulated annealing algorithms for data mapping

    General applicability of genetic and simulated annealing algorithms for data mapping by Mansour, Nashat

    Published 1995
    “…We experimentally analyze the general applicability of genetic algorithms (GA) and simulated annealing algorithms (SA) for mapping data to multicomputers. …”
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  3. 3
    Properties of simulated annealing and genetic algorithms for mapping data to multicomputers

    Properties of simulated annealing and genetic algorithms for mapping data to multicomputers by Mansour, Nashat

    Published 1997
    “…We experimentally analyze some properties of simulated annealing algorithms (SA) and genetic algorithms (GA) for mapping data to multicomputers. …”
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  4. 4
    Design of acoustic absorbing metasurfaces using a data-driven approach

    Design of acoustic absorbing metasurfaces using a data-driven approach by Hamza Baali (14603380)

    Published 2023
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  5. 5
    Bird’s Eye View feature selection for high-dimensional data

    Bird’s Eye View feature selection for high-dimensional data by Samir Brahim Belhaouari (16855434)

    Published 2023
    “…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …”
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  6. 6
    Scalable parallel algorithms for dynamic programming on tree decomposition. (c2017)

    Scalable parallel algorithms for dynamic programming on tree decomposition. (c2017) by Yassine, Mohamad M.

    Published 2017
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  7. 7
    Salp swarm algorithm: survey, analysis, and new applications

    Salp swarm algorithm: survey, analysis, and new applications by Abualigah, Laith

    Published 2024
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  8. 8
    Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms

    Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms by Arafat Rahman (8065562)

    Published 2021
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  9. 9
    Arithmetic optimization algorithm: a review and analysis

    Arithmetic optimization algorithm: a review and analysis by Abualigah, Laith

    Published 2024
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  10. 10
    Fault-Tolerant Network Topologies for Datacenters

    Fault-Tolerant Network Topologies for Datacenters by Attia, Heba Mahmoud Helal

    Published 2017
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  11. 11
    Applications of Kepler Algorithm-Based Controller for DC Chopper: Towards Stabilizing Wind Driven PMSGs under Nonstandard Voltages

    Applications of Kepler Algorithm-Based Controller for DC Chopper: Towards Stabilizing Wind Driven PMSGs under Nonstandard Voltages by Basiony Shehata Atia (21398774)

    Published 2024
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  12. 12
    Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV

    Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV by Zulkifli, Muhammad

    Published 2013
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  13. 13
    Social spider optimization algorithm: survey and new applications

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

    Published 2024
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  14. 14
    Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review

    Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review by Francisco Monteiro-Guerra (16864122)

    Published 2019
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  15. 15
    A New Penalty Function Algorithm For Convex Quadratic Programming

    A New Penalty Function Algorithm For Convex Quadratic Programming by Bendaya, M.

    Published 2020
    “…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …”
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  16. 16
    A Scatter search algorithm for exam scheduling. (c2006)

    A Scatter search algorithm for exam scheduling. (c2006) by Isahakian, Vatche Raffi

    Published 2006
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  17. 17
    Cohen syndrome and early-onset epileptic encephalopathy in male triplets: two disease-causing mutations in VPS13B and NAPB

    Cohen syndrome and early-onset epileptic encephalopathy in male triplets: two disease-causing mutations in VPS13B and NAPB by Alice AbdelAleem (17753799)

    Published 2023
    “…<p dir="ltr">Cohen syndrome (CS) is a rare multisystem autosomal recessive disorder associated with mutations in VPS13B (vacuolar protein sorting homolog 13B). The NAPB-related neurodevelopmental disorder is characterized mainly by early-onset epileptic encephalopathy (EOEE) and is associated with mutations in NAPB that encodes for SNAP-beta (soluble NSF attachment protein beta). …”
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  18. 18
    An ant colony optimization algorithm to improve software quality prediction models

    An ant colony optimization algorithm to improve software quality prediction models by Azar, D.

    Published 2011
    “…However, building accurate prediction models is hard due to the lack of data in the domain of software engineering. …”
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  19. 19
    XBeGene: Scalable XML Documents Generator by Example Based on Real Data

    XBeGene: Scalable XML Documents Generator by Example Based on Real Data by Harazaki, Manami

    Published 2012
    “…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …”
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  20. 20
    Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning

    Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning by Far, Reza Davoodi

    Published 2024
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