Showing 1 - 20 results of 59 for search '(( movement data algorithm ) OR ((( predict search algorithm ) OR ( neural coding algorithm ))))', query time: 0.13s Refine Results
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    Scatter Search algorithm for Protein Structure Prediction by Mansour, Nashat

    Published 2016
    “…In this paper, we present a Scatter Search (SS) algorithm for predicting 3D structures of proteins based on torsion angles representation. …”
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    article
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    Bird’s Eye View feature selection for high-dimensional data by Samir Brahim Belhaouari (16855434)

    Published 2023
    “…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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    High speed multi-stage code search algorithm in CELP by Elshafei, M.

    Published 1991
    “…An efficient multistage algorithm for code search in the code excited linear prediction (CELP) methods of speech coding is described. …”
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    article
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    Scatter search metaheuristic for homology based protein structure prediction. (c2015) by Stamboulian, Mouses Hrag

    Published 2015
    “…To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. Our algorithm optimizes the initial poor alignments, generated by a dynamic programming method. …”
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    masterThesis
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    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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    conferenceObject
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    Scatter search for homology modeling by Mansour, Nashat

    Published 2016
    “…To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. SS is an evolutionary approach that is based on a population of candidate solutions. …”
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    conferenceObject
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    Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review by Asma Alamgir (18288895)

    Published 2021
    “…Machine learning models were the most prominent branch of AI used in the prediction of cardiac arrest in the studies (38/47, 81%), and the most used algorithm was the neural network (23/47, 49%). …”
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