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Showing 1 - 20 results of 106 for search '(( element data algorithm ) OR ((( predict finding algorithm ) OR ( level coding algorithm ))))*', query time: 0.14s Refine Results
  1. 1
    Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques

    Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques by Hassan, Mahitab Alaaeldin

    Published 2017
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  2. 2
    Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory

    Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory by Nadia Rasheed (22997257)

    Published 2025
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  3. 3
    A Study on Applying Data Mining in Airline Industry for Demand Forecasting by predicting Item Criticality

    A Study on Applying Data Mining in Airline Industry for Demand Forecasting by predicting Item Criticality by KARAM, ZAINAB HAMDAN

    Published 2018
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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
    Particle swarm optimization based algorithm for protein structure prediction in the 3D HP model. (c2008)

    Particle swarm optimization based algorithm for protein structure prediction in the 3D HP model. (c2008) by Kanj, Fatima Hassan

    Published 2008
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  7. 7
    Public health utility of cause of death data: applying empirical algorithms to improve data quality

    Public health utility of cause of death data: applying empirical algorithms to improve data quality by Sarah Charlotte Johnson (9715415)

    Published 2021
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  8. 8
    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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  9. 9
    Large language models for code completion: A systematic literature review

    Large language models for code completion: A systematic literature review by Rasha Ahmad Husein (19744756)

    Published 2024
    “…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. …”
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  10. 10
    Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical Challenges

    Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical Challenges by Haseeb Javed (18576340)

    Published 2024
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  11. 11
    A Framework for Predictive Modeling in Sustainable Projects

    A Framework for Predictive Modeling in Sustainable Projects by Labban, Tarek

    Published 2012
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  12. 12
    Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach

    Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach by Sarif, Bambang

    Published 2006
    “…Multiple-Valued Logic (MVL) has been used in the design of a number of logic systems, including memory, multi-level data communication coding, and a number of special purpose digital processors. …”
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  13. 13
    Artificial intelligence models for predicting the mode of delivery in maternal care

    Artificial intelligence models for predicting the mode of delivery in maternal care by Rawan AlSaad (14159019)

    Published 2025
    “…</p><h3>Conclusion</h3><p dir="ltr">The findings validate the potential of AI algorithms not only to accurately predict the mode of delivery using antepartum data but also to identify key contributing factors. …”
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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
    AI-Based Methods for Predicting Required Insulin Doses for Diabetic Patients

    AI-Based Methods for Predicting Required Insulin Doses for Diabetic Patients by Azar, Danielle

    Published 2015
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  16. 16
    Estimating Construction Project Duration Using a Machine Learning Algorithm

    Estimating Construction Project Duration Using a Machine Learning Algorithm by Nasr, Joshua

    Published 2024
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  17. 17
    AI-based remaining useful life prediction and modelling of seawater desalination membranes

    AI-based remaining useful life prediction and modelling of seawater desalination membranes by Al Ali, Fajer

    Published 2024
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  18. 18
    Developing a UAE-Based Disputes Prediction Model using Machine Learning

    Developing a UAE-Based Disputes Prediction Model using Machine Learning by Abu Laila, Ibrahim Wasef Subhi

    Published 2022
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  19. 19
    Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection

    Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection by Alok Singh Chauhan (8264985)

    Published 2023
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  20. 20
    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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